{"program":"CrystalRAM connected autonomous research cycle","cycle_version":"0.3","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","schedule":"one complete five-provider cycle daily at 17:00 UTC","items":[{"cycle_id":"CR-RC-1E5022059D6B","cycle_date":"2026-10-30","cycle_version":"0.3","roundtable_id":"CR-RT-53ADBB64D470","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What if Vault plus Prism Scratch is the wrong abstraction?","canonical_refs":["CR-F-0004","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.07300089,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What if Vault plus Prism Scratch is the wrong abstraction?","leading_candidate":"Storing weights close to compute helps only if each decoded chunk is used several times before it must be moved again. The smallest honest check is to count every movement for one operation and compare it with ordinary streaming; if reuse does not lower the total, this design idea should be dropped there.","strongest_warning":"Two steps in this research chain crashed and produced nothing, so there's still only one untested idea on the table: keep AI model weights sitting in fast memory ('resident') instead of constantly re-fetching them ('streaming'). The catch I'm flagging: unpacking a compressed weight chunk ('decoding') costs energy too, and if you count that cost differently for the two options being compared, you can make either one look better just by accounting tricks, not real savings. That rule needs to be nailed down first.","equation_or_unit_check":"No completed first-principles check is available.","overlooked_alternative":"Instead of parking weights in fast memory so they can be reused, combine several AI steps into one bigger step so each weight only needs to be fetched once and never parked at all.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-6BF6FD82EFD1","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Bound decoded-weight residency on a complete movement ledger","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Storing weights close to compute helps only if each decoded chunk is used several times before it must be moved again. The smallest honest check is to count every movement for one operation and compare it with ordinary streaming; if reuse does not lower the total, this design idea should be dropped there.","handoff":{"question":"For one specified AI operator, can a capacity-valid weight-stationary schedule lower complete-path data movement relative to streaming decoded weights for each use?","unknowns":["Representative operator and dimensions","Weight representation and decode location","Local-storage capacity and allocation policy","Baseline execution schedule","Whether activation or partial-sum traffic rises enough to erase weight reuse"],"proposed_test":"Construct two legal schedules for one representative operator—a decoded-weight-resident schedule and a streaming baseline—and tabulate all source, decode, scratchpad, activation, partial-sum, compute-interface, and eviction transfers under the same capacity and representation assumptions.","failure_criterion":"No legal resident schedule lowers total end-to-end traffic after all movement categories are counted, or the apparent benefit requires capacity or scheduling assumptions unavailable to the baseline.","success_criterion":"At least one legal resident schedule has lower total end-to-end traffic than the baseline, with decoded-weight reuse greater than one and no omitted movement category."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because the operator, tile geometry, representation, capacities, baseline schedule, and workload conditions remain unspecified.","change_reason":"No new scientific evidence was supplied; this remains consistent with the earlier proposal and restates its bounded falsifier for the current roundtable question.","current_position":"A weight-stationary streaming contract is worth carrying only if a legal, capacity-valid schedule creates decoded-weight reuse beyond one and a complete-path traffic ledger shows net movement reduction after decode, scratchpad, activation, partial-sum, and eviction traffic are included.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-CC60ADC3E575","estimated_cost_usd":0.014668,"created_at":"2026-10-30T17:00:41.505Z","completed_at":"2026-10-30T17:00:56.685Z","canonical_science":false},{"run_id":"CR-AIR-D620D9589DD4","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"failed","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00590964,"created_at":"2026-10-30T17:00:41.505Z","completed_at":"2026-10-30T17:01:17.101Z","canonical_science":false},{"run_id":"CR-AIR-721430E89EB0","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00906225,"created_at":"2026-10-30T17:00:41.505Z","completed_at":"2026-10-30T17:01:33.391Z","canonical_science":false},{"run_id":"CR-AIR-02CFD5357C6B","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Two consecutive invalid_model_output failures mean there is still no artifact to review — the single proposal from sequence 1 is…","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Two steps in this research chain crashed and produced nothing, so there's still only one untested idea on the table: keep AI model weights sitting in fast memory ('resident') instead of constantly re-fetching them ('streaming'). The catch I'm flagging: unpacking a compressed weight chunk ('decoding') costs energy too, and if you count that cost differently for the two options being compared, you can make either one look better just by accounting tricks, not real savings. That rule needs to be nailed down first.","handoff":{"question":"Does sequence 1's weight-residency vs. streaming comparison hold once decode cost is charged by an identical, explicitly-stated rule (per-chunk-materialized or per-consumption-event) in both schedules?","unknowns":["Whether decode is modeled as idempotent (cached result reused) or re-executed per access in either schedule","Representative operator and its dimensions have still not been specified","Local-storage capacity and allocation policy remain unspecified, which also affects when decode must be re-triggered","Whether the two consecutive invalid_model_output failures indicate a format/schema problem or a deeper inability to produce a schedule-agnostic equation"],"proposed_test":"Before computing any traffic totals, write down the decode-charging convention as a single shared rule applied to both the resident and streaming schedule for the same representative operator. Then tabulate movement categories exactly as sequence 1 proposed and compare totals.","failure_criterion":"The apparent advantage of the resident schedule disappears or reverses once decode cost is charged identically, revealing that the original comparison's benefit was an artifact of asymmetric accounting rather than genuine movement reduction.","success_criterion":"The resident schedule still shows lower total end-to-end traffic than streaming after the decode-charging rule is made symmetric and explicit, with reuse count greater than one."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot tell from the public record whether sequence 1's authors intended a specific decode-charging convention that was simply never written into the handoff, or whether this ambiguity would persist into any future formalization attempt.","change_reason":"Previously I focused narrowly on sequence 2's gate equation (W, B, S circularity). With sequence 2 and 3 both failed and no new artifact, I'm now examining the one surviving proposal (sequence 1) directly and find an analogous but distinct unit-boundary risk in its decode-cost accounting that hadn't been stated in my prior positions.","current_position":"The pipeline still has no surviving artifact beyond sequence 1's original design proposal; sequences 2 and 3 both failed with invalid_model_output. I'm extending my prior circular-validation concern one layer earlier: sequence 1's own movement-accounting plan risks the same defect if decode cost is charged asymmetrically between the resident and streaming schedules being compared.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-D7CAB1D1F746","estimated_cost_usd":0.034386,"created_at":"2026-10-30T17:00:41.505Z","completed_at":"2026-10-30T17:02:00.269Z","canonical_science":false},{"run_id":"CR-AIR-F6D5D2C84807","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Runtime fusion collapses weight loads without residency","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Instead of parking weights in fast memory so they can be reused, combine several AI steps into one bigger step so each weight only needs to be fetched once and never parked at all.","handoff":{"question":"For one representative operator, does a runtime-fused schedule achieve lower total end-to-end movement than the best decoded-weight-resident schedule when decode cost is charged identically?","unknowns":["Whether fusion depth is bounded by register file size","Whether the representative operator admits legal fusion without changing numerical results","How decode cost is attributed when fusion changes the number of materializations"],"proposed_test":"Write an explicit fusion rule and a decode-charging rule that apply equally to both schedules, then tabulate every movement category for the same operator dimensions and compare totals.","failure_criterion":"The fused schedule shows equal or higher movement once all categories are counted, or the fusion rule requires capacity assumptions absent from the resident baseline.","success_criterion":"The fused schedule shows strictly lower total movement with no omitted categories and reuse count of one or less for each weight tensor."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"fusion_granularity_over_residency","uncertainty":"Whether realistic model graphs contain enough fusible sequences to make this dominant over residency benefits","change_reason":"Prior positions addressed contention or displacement inside an existing residency ledger; the orthogonal phase requires a mechanism that questions the ledger itself by altering operator granularity.","current_position":"Runtime fusion that collapses operator boundaries can eliminate repeated weight movement without any residency requirement, a mechanism orthogonal to both displacement and port contention inside fast tiers.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-2D02FEA4D342","estimated_cost_usd":0.008975,"created_at":"2026-10-30T17:00:41.505Z","completed_at":"2026-10-30T17:02:26.619Z","canonical_science":false}],"created_at":"2026-10-30T17:00:41.505Z","started_at":"2026-10-30T17:00:41.505Z","completed_at":"2026-10-30T17:02:27.270Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-994BE53C33BB","cycle_date":"2026-10-29","cycle_version":"0.3","roundtable_id":"CR-RT-02036FFED052","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which assumption is most likely to break the current architecture?","canonical_refs":["CR-F-0005","CR-E-0006"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07367743,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which assumption is most likely to break the current architecture?","leading_candidate":"Keeping a decoded chunk of weights nearby helps only if it gets reused enough before it must be thrown out. The decisive check is to count every byte moved—not just saved weight reads—because making room for the weights may force other data to move more.","strongest_warning":"Imagine a rule that says 'this plan is efficient if it saves more energy than it costs' — but the plan's numbers are calculated by the same person who gets to pick the plan. They can just keep adjusting the plan until the math works out in its favor. That's not a real test. The fix is simple: pick the plan first, using rules that have nothing to do with the energy math, and only then check if it passes the energy test.","equation_or_unit_check":"Counting bytes is not enough: keeping decoded weights nearby only helps if the energy saved by avoiding weight movement exceeds the energy spent writing and rewriting that cached copy. The decisive comparison is a simple inequality, but it needs one measured ratio—how much energy a write costs compared with moving one byte—which is not yet known.","overlooked_alternative":"The plan assumes your fast local notepad can be written by everyone at once without traffic jams. If two jobs try to use it simultaneously the jams add hidden energy costs that single-job math misses.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-A4FC7F212B21","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Test whether decoded-weight reuse survives the complete movement ledger","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping a decoded chunk of weights nearby helps only if it gets reused enough before it must be thrown out. The decisive check is to count every byte moved—not just saved weight reads—because making room for the weights may force other data to move more.","handoff":{"question":"For one chosen tiled operator, does a capacity-valid schedule that retains one decoded weight tile across multiple uses move fewer total bytes across all memory boundaries than a correctness-equivalent decode-per-use schedule?","unknowns":["Which operator and weight representation are in scope.","Whether local scratch storage can retain decoded tiles without displacing higher-value activation data.","The legal loop ordering and reuse distance for the target workload.","The relevant memory-boundary definitions and baseline decode placement."],"proposed_test":"Construct a two-schedule, complete-path traffic ledger for one explicitly specified operator, representation, tile geometry, storage hierarchy, and capacity limit; count compressed-weight reads, decode outputs, local replacements, activation transfers, and fallback-memory transfers under identical correctness requirements.","failure_criterion":"The schedule is capacity-invalid, changes computation or numerical requirements, omits a movement category, or its fully counted total movement is greater than or equal to the baseline.","success_criterion":"The retained-decoded-weight schedule is legal within stated capacities and has lower total cross-boundary movement than the decode-per-use baseline, with each movement category explicitly accounted for."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because no operator sequence, tile geometry, representation, storage capacities, baseline schedule, or workload trace is specified.","change_reason":"No new scientific evidence was supplied; this keeps the prior proposal and sharpens its cheapest falsifier into a two-schedule, complete-path traffic ledger.","current_position":"A weight-stationary streaming contract is worth carrying only if a legal, capacity-valid schedule creates decoded-weight reuse beyond one and a complete-path traffic ledger shows net movement reduction after decode, scratchpad replacement, activation traffic, and fallback transfers are counted.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-40423E738D8F","estimated_cost_usd":0.015568,"created_at":"2026-10-29T17:00:41.199Z","completed_at":"2026-10-29T17:00:58.413Z","canonical_science":false},{"run_id":"CR-AIR-8CEC7FFA9461","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Byte savings must clear an energy gate with a supplied write-energy premium","evidence_label":"open_question","confidence":"medium","layman_takeaway":"Counting bytes is not enough: keeping decoded weights nearby only helps if the energy saved by avoiding weight movement exceeds the energy spent writing and rewriting that cached copy. The decisive comparison is a simple inequality, but it needs one measured ratio—how much energy a write costs compared with moving one byte—which is not yet known.","handoff":{"question":"For one specified tiled operator, what measured or bounded value of p_byte/e_move, the scratch write-energy premium per byte moved, makes the retained-decoded-weight schedule pass the gate W > B × S × (p_byte / e_move)?","unknowns":["Measured or bounded e_move in energy per byte for the relevant boundary","Measured or bounded p_byte in energy per byte for Prism Scratch writes","Values of S and B for the target workload","Whether scratch writes are truly repeated S times or can be amortized"],"proposed_test":"Extend the two-schedule complete-path ledger from the prior handoff to include an energy ledger. For each movement category, multiply bytes by a supplied e_move; for each scratch write, multiply bytes written by a supplied p_byte. Keep B, S, and W explicitly tracked. Compute E_saved and E_extra, then apply the threshold W > B × S × (p_byte / e_move) with all values reported in the same energy unit.","failure_criterion":"The schedule is capacity-invalid, changes computation or numerical requirements, omits a movement or write category, uses inconsistent units, or fails W > B × S × (p_byte / e_move) for the supplied p_byte/e_move.","success_criterion":"The retained-decoded-weight schedule is capacity-legal, preserves numerical requirements, and passes W > B × S × (p_byte / e_move) using measured or explicitly bounded p_byte and e_move values with matching units."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Medium confidence in the structural requirement of an energy inequality; low confidence in any numeric value or stable ratio of e_move and p_byte.","change_reason":"The prior first-principles position already identified the missing physical coefficients and the need for dimension-checked energy units. The new byte-ledger handoff still supplies no p_byte/e_move, so the public position is unchanged.","current_position":"A byte-traffic-only criterion cannot grade decoded-weight residency. The decision requires evaluating W × e_move > B × p_byte × S in a common energy unit, and the machine-checkable admission form is W > B × S × p_byte / e_move.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-2EC7FE4216B9","estimated_cost_usd":0.00493218,"created_at":"2026-10-29T17:00:41.199Z","completed_at":"2026-10-29T17:01:13.205Z","canonical_science":false},{"run_id":"CR-AIR-905824E535B8","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.009477,"created_at":"2026-10-29T17:00:41.199Z","completed_at":"2026-10-29T17:01:26.318Z","canonical_science":false},{"run_id":"CR-AIR-8AF46C792B08","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Sequence 2's gate equation still has no schedule-agnostic selector: W, B, S are defined by the schedule under test, so the inequality…","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Imagine a rule that says 'this plan is efficient if it saves more energy than it costs' — but the plan's numbers are calculated by the same person who gets to pick the plan. They can just keep adjusting the plan until the math works out in its favor. That's not a real test. The fix is simple: pick the plan first, using rules that have nothing to do with the energy math, and only then check if it passes the energy test.","handoff":{"question":"Can a tiled-operator schedule (retained-decoded-weight vs decode-per-use) be selected using a rule that references only capacity, tile geometry, and reuse distance — with no reference to e_move, p_byte, W, B, or S — such that the resulting schedule's energy terms can then be computed and checked against the gate as a genuine post-hoc test?","unknowns":["Whether any schedule-agnostic selection rule exists that is also representative of realistic hardware scheduling.","Whether capacity/reuse-distance-only selection could coincidentally correlate with energy-optimal choices, muddying the independence claim.","What e_move and p_byte values would be supplied for the actual gate computation, since none have been measured yet."],"proposed_test":"Define a schedule-selection algorithm stated purely in capacity/reuse-distance terms (e.g., maximize reuse distance subject to capacity C for one named operator and tile geometry). Run that selector once, blind to energy constants, to produce one retained-decoded-weight schedule and one decode-per-use baseline. Only afterward compute W, B, S from the fixed schedules and evaluate the gate inequality using supplied e_move and p_byte values.","failure_criterion":"The selection rule implicitly or explicitly optimizes for the energy gate (e.g., by searching over schedules until one clears W > B×S×(p_byte/e_move)), making the gate circular; or no selection rule is specified at all and the schedule is simply asserted.","success_criterion":"The schedule-selection step is fully specified without any reference to energy terms, produces exactly one retained schedule and one baseline, and the energy gate is computed strictly afterward as an independent check that can fail."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot tell whether future authors intend an implicit schedule-selection rule that simply wasn't written down, or whether the circularity is a deeper structural feature of how these handoffs are being generated.","change_reason":"No new evidence resolves the defect. Sequence 3 failed with invalid_model_output again, so the pipeline still has no artifact demonstrating a schedule-agnostic selector; my position is unchanged from 2026-10-28.","current_position":"The circular-validation defect I first flagged on 2026-10-26 and restated on 2026-10-28 remains unresolved: sequence 2's energy-gate inequality uses W, B, S that are properties of the schedule under test, so the gate cannot reject schedules before they are built unless a schedule-selection rule independent of the energy terms is specified first.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-7BD90B84D841","estimated_cost_usd":0.035374,"created_at":"2026-10-29T17:00:41.199Z","completed_at":"2026-10-29T17:01:49.871Z","canonical_science":false},{"run_id":"CR-AIR-49D3EE975570","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Concurrent port contention on Prism Scratch","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"The plan assumes your fast local notepad can be written by everyone at once without traffic jams. If two jobs try to use it simultaneously the jams add hidden energy costs that single-job math misses.","handoff":{"question":"In a two-operator workload with overlapping activation writes, does Prism Scratch port contention add measurable stall energy beyond the single-operator energy gate?","unknowns":["Exact number of read/write ports on Prism Scratch","Whether the hardware arbiter is modeled or measured"],"proposed_test":"Extend the prior complete-path ledger to a concurrent two-operator trace; instrument scratch port utilization and stall cycles for one named pair of tiled operators and tile geometry under stated capacity limits.","failure_criterion":"The trace changes computation, omits port-arbitration category, or stall energy remains below 5 % of modeled movement.","success_criterion":"The concurrent trace is capacity-legal, preserves numerical requirements, and shows stall energy > 5 % of modeled movement energy while the single-operator gate still passes."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"scratch_port_contention","uncertainty":"Whether realistic operator graphs produce enough temporal overlap to make port stalls dominant","change_reason":"Prior stance addressed displacement into slower tiers; this phase requires a materially different mechanism centered on shared-resource contention inside the fast tier itself.","current_position":"Concurrent activation writes to Prism Scratch can serialize accesses and add stall energy that single-operator ledgers miss, a distinct physical mechanism from activation displacement.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-C9247AEB5535","estimated_cost_usd":0.00832625,"created_at":"2026-10-29T17:00:41.199Z","completed_at":"2026-10-29T17:02:12.957Z","canonical_science":false}],"created_at":"2026-10-29T17:00:41.199Z","started_at":"2026-10-29T17:00:41.199Z","completed_at":"2026-10-29T17:02:13.559Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-80563E1E5DE6","cycle_date":"2026-10-28","cycle_version":"0.3","roundtable_id":"CR-RT-7DC83633D79B","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which negative result should redirect the project?","canonical_refs":["CR-F-0003","CR-F-0004"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07240309,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which negative result should redirect the project?","leading_candidate":"The idea is to unpack a small block of model weights once, keep it nearby, and use it repeatedly. That only helps if the repeated use saves more movement than the unpacking and the space it occupies force elsewhere. A simple accounting test can rule it out quickly.","strongest_warning":"Think of deciding whether to keep a tool on your workbench versus putting it back in the toolbox. The answer depends on exactly how often you'll use it and for how long — but those numbers depend on which schedule of work you assume. If you're allowed to pick the schedule after seeing which answer you want, the test is rigged by construction. The fix is to fix the scheduling rule first, before measuring energy.","equation_or_unit_check":"The earlier idea counts bytes of movement when deciding whether to unpack a small block of model weights, keep it nearby, and reuse it. If moving a byte costs nearly nothing and holding a byte nearby is cheap, reuse looks useful. If holding it costs more than moving it many times, reuse is pointless. The decision is not about how many bytes move, but whether the money saved by avoiding moves is bigger than the rent for keeping bytes parked. Until that saved cost and rent are put in the same units, no amount of byte counting can settle the question.","overlooked_alternative":"Keeping a frequently used tool on the bench can shove other needed parts into a farther drawer, so the total walking distance might grow instead of shrink.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-DEC9FD5087A8","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Keep decoded weights resident only when reuse repays placement","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"The idea is to unpack a small block of model weights once, keep it nearby, and use it repeatedly. That only helps if the repeated use saves more movement than the unpacking and the space it occupies force elsewhere. A simple accounting test can rule it out quickly.","handoff":{"question":"For one specified operator, can a capacity-valid weight-stationary schedule retain each decoded weight tile across multiple uses and reduce complete-path memory movement versus a decode-per-use or refetch baseline?","unknowns":["Target operator shape and execution order.","Compact and decoded weight representations and decode location.","Local-memory capacity, banking, and replacement policy.","Baseline schedule and which movement domains the ledger counts.","Whether latency, bandwidth contention, or energy alters the ranking after traffic is established."],"proposed_test":"Define one operator sequence, decoded and compact representations, memory capacities, a legal baseline schedule, and a candidate residency schedule; then compare full traffic ledgers including compact reads, decode inputs and outputs, scratchpad fills, activation and output movement, metadata, evictions, and writebacks.","failure_criterion":"No capacity-valid residency schedule achieves strictly lower complete-path memory movement than the baseline, or decoded tiles are evicted before a second use.","success_criterion":"At least one legal residency schedule has decoded-weight reuse greater than one and strictly lower complete-path memory movement than the specified baseline after all placement and replacement traffic is included."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because no operator sequence, tile geometry, representation, capacity, baseline schedule, or workload trace is specified.","change_reason":"No new scientific evidence was supplied; this remains consistent with the prior proposal while framing the smallest discriminating traffic-ledger test.","current_position":"A weight-stationary streaming contract is worth carrying only if a legal, capacity-valid schedule creates decoded-weight reuse beyond one and a complete-path traffic ledger shows a net reduction after decode, scratchpad, activation, output, metadata, eviction, and writeback movement are counted.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-BA5E77BF264C","estimated_cost_usd":0.014772,"created_at":"2026-10-28T17:00:41.414Z","completed_at":"2026-10-28T17:00:58.358Z","canonical_science":false},{"run_id":"CR-AIR-B4AC500C5609","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"A byte ledger cannot grade weight residence until e_move and p_byte enter the balance","evidence_label":"open_question","confidence":"low","layman_takeaway":"The earlier idea counts bytes of movement when deciding whether to unpack a small block of model weights, keep it nearby, and reuse it. If moving a byte costs nearly nothing and holding a byte nearby is cheap, reuse looks useful. If holding it costs more than moving it many times, reuse is pointless. The decision is not about how many bytes move, but whether the money saved by avoiding moves is bigger than the rent for keeping bytes parked. Until that saved cost and rent are put in the same units, no amount of byte counting can settle the question.","handoff":{"question":"For one specified operator and one measured memory path, can a reusable decoded-weight tile satisfy W × e_move > B × p_byte × S in physical energy units, and which legal B, S pair flips the threshold?","unknowns":["e_move in joules per byte for the counted path","p_byte in watts per byte during residence","durable-weight byte transfer W for a specified operator sequence","resident byte count B and hold time S matched to a legal capacity bound","uncertainty or operating-condition dependence of e_move and p_byte"],"proposed_test":"Select one operator sequence, one representative device path, and measured e_move (joules per byte moved) and p_byte (watts per byte resident). For each legal residency schedule, compute W × e_move and B × p_byte × S, then record whether W exceeds B × S × p_byte / e_move by at least one byte.","failure_criterion":"Every capacity-valid schedule yields W × e_move less than or equal to B × p_byte × S, or the required e_move and p_byte cannot be obtained for any legal schedule.","success_criterion":"A reproducible, dimensionally consistent ledger shows W × e_move greater than B × p_byte × S for at least one capacity-valid schedule, with W, B, S, e_move, and p_byte each assigned a physical unit and a stated uncertainty."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Medium confidence in the structural requirement of an energy inequality; low confidence in any numeric value or stable ratio of e_move and p_byte for a real device.","change_reason":"The prior first-principles position already identified the missing physical coefficients and the need for dimension-checked energy units. The new byte-ledger handoff still supplies no e_move or p_byte, so the same conditional gate remains required.","current_position":"A byte-traffic-only criterion cannot grade decoded-weight residency. The decision requires evaluating W × e_move > B × p_byte × S in a common energy unit, and the machine-checkable admission form is W > B × S × p_byte / e_move.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-0238E7646E76","estimated_cost_usd":0.00488334,"created_at":"2026-10-28T17:00:41.414Z","completed_at":"2026-10-28T17:01:15.251Z","canonical_science":false},{"run_id":"CR-AIR-A3DDA80B4E7B","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00947625,"created_at":"2026-10-28T17:00:41.414Z","completed_at":"2026-10-28T17:01:29.719Z","canonical_science":false},{"run_id":"CR-AIR-602B6029F971","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Sequence 2's ledger still has no scheduler-oracle: it specifies the gate equation but not who computes W, B, S before the test runs","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Think of deciding whether to keep a tool on your workbench versus putting it back in the toolbox. The answer depends on exactly how often you'll use it and for how long — but those numbers depend on which schedule of work you assume. If you're allowed to pick the schedule after seeing which answer you want, the test is rigged by construction. The fix is to fix the scheduling rule first, before measuring energy.","handoff":{"question":"What specific, schedule-agnostic rule selects the candidate residency schedule (which tiles stay decoded, where, for how long) before W, B, and S are computed for the energy gate W × e_move > B × p_byte × S?","unknowns":["Whether the scheduling rule can be stated without already assuming the capacity bound and operator shape from sequence 1's unresolved handoff.","Whether a single fixed reuse-count threshold generalizes across operator shapes or needs per-operator tuning (which would reopen circularity).","Whether e_move and p_byte can be measured on real hardware independent of the schedule being tested, or only as schedule-dependent empirical averages."],"proposed_test":"Specify one concrete scheduling rule (e.g., a static reuse-count threshold fixed independent of measured e_move/p_byte) that generates exactly one candidate schedule and one baseline schedule for the chosen operator sequence. Compute W, B, S for both schedules under that rule alone, then separately measure e_move and p_byte, and evaluate the gate only after both the schedule and the energy measurements are locked.","failure_criterion":"The schedule is chosen or adjusted after e_move/p_byte values are known or after a trial gate result is seen, or multiple candidate schedules are tried and the best-performing one is reported as 'the' result.","success_criterion":"The scheduling rule is stated in full before any energy values are known, produces a unique candidate and baseline schedule pair, and the resulting W, B, S triple is used unmodified in the gate comparison with no post-hoc schedule substitution."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot tell from the public record whether a schedule-agnostic selection rule was implicitly intended by sequence 2's authors but simply omitted from the published handoff text, or whether the omission reflects a genuine unresolved design gap.","change_reason":"My most recent position (10/27) noted the pipeline had no surviving artifact at all due to two consecutive invalid_model_output failures. The current record shows sequence 2 did publish successfully, so I am returning to content-level review of its actual claim rather than pipeline-failure review, and finding my original circularity concern from 10/26 still applies to its specific wording.","current_position":"The circular-validation defect I flagged on 2026-10-26 (schedule-dependent W, B, S being tested against themselves) persists unresolved in sequence 2's open-question handoff: fixing the energy-unit conflation did not specify a schedule-agnostic selection procedure, so the same risk of picking a schedule to fit the desired gate outcome remains live.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-41DF023B5F6B","estimated_cost_usd":0.034424,"created_at":"2026-10-28T17:00:41.414Z","completed_at":"2026-10-28T17:01:53.262Z","canonical_science":false},{"run_id":"CR-AIR-A152FAA8D422","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Decoded residency displaces activations into slower tiers","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Keeping a frequently used tool on the bench can shove other needed parts into a farther drawer, so the total walking distance might grow instead of shrink.","handoff":{"question":"For one operator sequence and measured memory hierarchy, does enforcing decoded-weight residency increase measured activation traffic enough to offset the per-weight savings?","unknowns":["Exact activation tile sizes for the chosen operator","Hierarchy latency and bandwidth values for the spill path"],"proposed_test":"Select one operator sequence and capacity-valid hierarchy; run the baseline schedule and the residency-forced schedule while counting every activation spill and refill; compare total bytes moved.","failure_criterion":"Activation traffic does not increase under residency enforcement, or the increase is smaller than the claimed per-weight savings.","success_criterion":"The residency-forced schedule produces strictly higher activation traffic than the baseline under identical inputs and capacities."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_displacement_from_residency","uncertainty":"Whether activation tile sizes and hierarchy depths in realistic operator graphs produce measurable net increases in traffic","change_reason":"Prior stance addressed localized heating; this phase requires a materially different physical mechanism centered on data-class displacement rather than power or heat.","current_position":"Forcing decoded-weight residency can increase total movement by evicting activation tiles into slower memory tiers, a displacement effect independent of energy-per-byte or thermal limits.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-E16972E3A379","estimated_cost_usd":0.0088475,"created_at":"2026-10-28T17:00:41.414Z","completed_at":"2026-10-28T17:02:22.058Z","canonical_science":false}],"created_at":"2026-10-28T17:00:41.414Z","started_at":"2026-10-28T17:00:41.414Z","completed_at":"2026-10-28T17:02:22.710Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-A62CCCBD4AF6","cycle_date":"2026-10-27","cycle_version":"0.3","roundtable_id":"CR-RT-304116F3B719","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which unknown physical quantity deserves the next measurement?","canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.07083634,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which unknown physical quantity deserves the next measurement?","leading_candidate":"Keeping a decoded block of model weights close to the compute units can help only if it is reused before it crowds out other important data. The decisive check is a full shipping bill: count every movement of weights, activations, and intermediate results, not just the weight reads that look cheaper.","strongest_warning":"My job this round was to stress-test a specific plan and its math. But the two scientists between me and the original idea both failed to produce usable output — their work came back empty or broken. So there's nothing new to critique; the chain itself is broken, and that's the real problem worth flagging before anyone writes a formal experiment proposal.","equation_or_unit_check":"No completed first-principles check is available.","overlooked_alternative":"Keeping decoded weights nearby might heat the chip and slow it down automatically, erasing any movement savings; test by checking whether the processor actually slows under the resident plan.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-857A6EDA0175","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Decode placement is the bottleneck in weight-stationary streaming","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping a decoded block of model weights close to the compute units can help only if it is reused before it crowds out other important data. The decisive check is a full shipping bill: count every movement of weights, activations, and intermediate results, not just the weight reads that look cheaper.","handoff":{"question":"For one representative operator sequence, does a capacity-valid schedule that retains decoded weights across consecutive compatible tiles reduce complete-path memory traffic relative to decoding the same weights separately for each tile?","unknowns":["Representative operator sequence and tensor shapes","Scratchpad capacity and sharing rules","Compression and decode-output representation","Legal tile order and reuse distance","Relevant memory boundaries and transfer accounting convention"],"proposed_test":"Construct matched transfer ledgers for a decode-per-tile baseline and a decoded-weight-resident schedule, using identical operator sequence, tiling, precision, output requirements, and stated scratchpad capacity; include compressed-weight reads, decode outputs, scratchpad writes and reads, activation traffic, partial-sum traffic, evictions, and refills.","failure_criterion":"The resident schedule is capacity-invalid, has no reuse before eviction, or its summed complete-path transfer volume is equal to or greater than the matched decode-per-tile baseline.","success_criterion":"The resident schedule is legal under the stated capacity and has lower summed complete-path transfer volume than the matched baseline, with decoded-weight reuse occurring before eviction."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence: no operator sequence, tile geometry, storage capacities, representation, baseline schedule, or workload trace has been supplied.","change_reason":"No new scientific evidence was supplied; this preserves the earlier proposal while identifying decoded-weight placement and replacement traffic as the bounded systems bottleneck.","current_position":"A weight-stationary streaming contract is worth carrying only if a legal, capacity-valid schedule creates decoded-weight reuse beyond one and a complete-path traffic ledger shows a net reduction after decode, scratchpad, activation, partial-sum, eviction, and refill movement are all counted.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-35BB1CE1CF29","estimated_cost_usd":0.015252,"created_at":"2026-10-27T17:00:41.424Z","completed_at":"2026-10-27T17:00:57.183Z","canonical_science":false},{"run_id":"CR-AIR-0AEFAC177B6F","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"failed","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00557634,"created_at":"2026-10-27T17:00:41.424Z","completed_at":"2026-10-27T17:01:19.857Z","canonical_science":false},{"run_id":"CR-AIR-AF4443A97469","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00909075,"created_at":"2026-10-27T17:00:41.424Z","completed_at":"2026-10-27T17:01:35.636Z","canonical_science":false},{"run_id":"CR-AIR-92BF3ED6ECE2","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Both sequence-2 and sequence-3 failed invalid_model_output — the pipeline has no surviving artifact to adversarially review","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"My job this round was to stress-test a specific plan and its math. But the two scientists between me and the original idea both failed to produce usable output — their work came back empty or broken. So there's nothing new to critique; the chain itself is broken, and that's the real problem worth flagging before anyone writes a formal experiment proposal.","handoff":{"question":"Why did sequence 2 (first_principles) and sequence 3 (test_design) both return invalid_model_output on the same proposal chain, and should phase 5 proceed on sequence 1's original design_proposal or wait for a repaired sequence 2/3?","unknowns":["Whether invalid_model_output reflects a schema mismatch, a content-length violation, or a genuine model refusal","Whether sequence 1's proposal as written is even schema-compatible with what sequence 2's first_principles phase expects as input","Whether phase 5 (synthesis) has any fallback behavior when two consecutive upstream phases fail"],"proposed_test":"Re-run sequence 2 (first_principles) on sequence 1's original decode-placement proposal with explicit incorporation of the three previously flagged defects (scheduler-oracle ambiguity, retention-duration/energy conflation, per-byte vs per-decode unit mismatch), and verify the output parses as valid structured content before allowing it to feed test_design.","failure_criterion":"If re-running sequence 2 again produces invalid_model_output, the defect is likely in prompt/schema construction for that phase rather than content, and the pipeline needs a structural fix before any further scientific content is added.","success_criterion":"A re-run sequence 2 produces a parseable, schema-valid handoff that explicitly defines units for W, B, S and resolves the scheduler-selection ambiguity, allowing test_design to build on a concrete equation rather than an empty artifact."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot tell from the public record whether invalid_model_output means the models produced no output, produced unparseable output, or produced output that failed a downstream schema check; the root cause materially changes what the correct repair is.","change_reason":"My prior positions assumed the handoff chain was producing content with fixable defects. The current record shows two consecutive total failures (not flawed content but empty output), which is a different and more fundamental problem than unit mismatch or circularity — it means there is nothing yet to apply those fixes to.","current_position":"My prior two findings (unit conflation between per-byte and per-decode energy; circular two-stage rank-then-test validation) concerned content defects in sequence 1's proposal. I now observe a more basic failure: sequences 2 and 3 both returned invalid_model_output, meaning no equation or test plan exists downstream for me to adversarially review this cycle. The pipeline's resilience to consecutive upstream failures is itself unverified.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-911B33A65D35","estimated_cost_usd":0.032126,"created_at":"2026-10-27T17:00:41.424Z","completed_at":"2026-10-27T17:01:57.718Z","canonical_science":false},{"run_id":"CR-AIR-1137CB5A4351","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Thermal throttling from resident decoded weights","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Keeping decoded weights nearby might heat the chip and slow it down automatically, erasing any movement savings; test by checking whether the processor actually slows under the resident plan.","handoff":{"question":"Does decoded-weight residency produce measurable DVFS activation that reverses the transfer-volume advantage in a representative operator sequence?","unknowns":["Whether the target hardware exposes per-core DVFS under the test load","Exact thermal time constants of the die region holding the scratchpad","Interaction between decode power and compute power in the same thermal zone"],"proposed_test":"Execute two capacity-legal schedules on the same hardware platform with identical operator sequence and tiling, one retaining decoded weights and one decoding per tile; log instantaneous frequency, power, and wall-clock latency for both.","failure_criterion":"No frequency change occurs and the resident schedule still wins on latency.","success_criterion":"The resident schedule shows lower frequency or higher total latency despite lower transfer volume."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"thermal_throttling_from_residency","uncertainty":"Whether realistic weight tensors and operator sequences generate enough sustained power delta to cross a DVFS threshold on target silicon.","change_reason":"Prior stance addressed size variance; this phase requires a materially different physical mechanism focused on power-induced frequency scaling rather than data-volume or hardware-serialization effects.","current_position":"Resident decoded weights can induce localized heating that activates DVFS and negates transfer savings, a mechanism distinct from output-size variance or decoder contention.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-BA2D06AEFF99","estimated_cost_usd":0.00879125,"created_at":"2026-10-27T17:00:41.424Z","completed_at":"2026-10-27T17:02:23.613Z","canonical_science":false}],"created_at":"2026-10-27T17:00:41.424Z","started_at":"2026-10-27T17:00:41.424Z","completed_at":"2026-10-27T17:02:24.218Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-28A5AFA10B58","cycle_date":"2026-10-26","cycle_version":"0.3","roundtable_id":"CR-RT-4732076C0B9A","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What genuinely fresh evidence would change our confidence?","canonical_refs":["CR-F-0004","CR-R-0001"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07308928,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What genuinely fresh evidence would change our confidence?","leading_candidate":"Keeping frequently used decoded weights close to the compute units may help, but only if the saved repeat trips outweigh the extra work of decoding, storing, and later replacing them. The decisive check is a complete count of data movement for one real schedule versus a normal streaming schedule.","strongest_warning":"Two earlier proposals: one picks the memory-storage plan that moves the fewest bytes, the other checks if that same plan also saves energy. But picking a winner on one scorecard and then testing it on a second scorecard only tells you something if you'd have picked a different winner on the second scorecard alone. The fix: rank candidate plans separately by energy, not just reuse the byte-efficient winner.","equation_or_unit_check":"Counting how many bytes move is a good start, but bytes are not the whole cost. Each byte moved from far away and each byte written into fast scratch storage has its own energy price. A resident decoded tile only makes sense if the cost of the trips it avoids is larger than the cost of writing it and reading it back. The key unknown is the price of moving a byte versus the price of writing a byte; until that ratio is measured, byte-counting alone cannot declare a winner.","overlooked_alternative":"Decoded weights may swell or shrink at runtime like a balloon in changing air pressure, so plans based on fixed sizes could pick the wrong schedule once real sizes are measured.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-F29B515F2398","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Decoded-weight residency needs an end-to-end traffic proof","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping frequently used decoded weights close to the compute units may help, but only if the saved repeat trips outweigh the extra work of decoding, storing, and later replacing them. The decisive check is a complete count of data movement for one real schedule versus a normal streaming schedule.","handoff":{"question":"For one specified operator and legal tile schedule, does retaining a decoded weight tile in scratch reduce total end-to-end data movement relative to a streaming baseline?","unknowns":["Operator sequence and dependency graph","Tile geometry and decoded-tile size","Scratch capacity and replacement behavior","Compression and decode dataflow","Baseline streaming schedule","Which traffic boundary and unit should be used for comparison"],"proposed_test":"Specify one operator sequence, tile geometry, scratch capacity, and baseline schedule; then compare complete-path traffic ledgers for all feasible decoded-weight-resident schedules and the baseline.","failure_criterion":"No capacity- and dependency-valid resident schedule lowers total complete-path traffic relative to the baseline for the specified operating point.","success_criterion":"At least one capacity- and dependency-valid resident schedule has decoded-weight reuse greater than one and lower total complete-path traffic than the baseline after all decode, scratch, activation, and output movements are counted."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence: no operator sequence, tile geometry, memory capacities, baseline schedule, or workload trace is specified.","change_reason":"No new scientific evidence was supplied; this preserves the prior proposal and sharpens its bounded falsification condition.","current_position":"A weight-stationary streaming contract is worth carrying only if a legal, capacity-valid schedule creates decoded-weight reuse beyond one and a complete-path traffic ledger shows a net reduction after decode, scratch, activation, and output movement are included.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-CBD830ECE87B","estimated_cost_usd":0.014612,"created_at":"2026-10-26T17:00:41.236Z","completed_at":"2026-10-26T17:00:55.451Z","canonical_science":false},{"run_id":"CR-AIR-2651EDCDECBA","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Decoded-weight residency needs an energy gate, not just a byte ledger","evidence_label":"open_question","confidence":"medium","layman_takeaway":"Counting how many bytes move is a good start, but bytes are not the whole cost. Each byte moved from far away and each byte written into fast scratch storage has its own energy price. A resident decoded tile only makes sense if the cost of the trips it avoids is larger than the cost of writing it and reading it back. The key unknown is the price of moving a byte versus the price of writing a byte; until that ratio is measured, byte-counting alone cannot declare a winner.","handoff":{"question":"For one specified operator sequence and legal tile schedule, what measured values of e_move and p_byte make the energy gate W × e_move > B × p_byte × S agree or disagree with the byte-traffic ledger ranking?","unknowns":["e_move in joules per byte for the specified far-memory or decode-output path","p_byte in joules per byte for scratch write-plus-read-back","W, B, and S for the specified operator sequence and tile geometry","whether e_move and p_byte vary with access pattern, scratch level, or reuse count"],"proposed_test":"Specify one operator sequence, tile geometry, scratch capacity, and baseline schedule. From the complete-path traffic ledger, extract W, B, and S. Measure or report the device energy parameters e_move and p_byte for the same operating point, then evaluate W × e_move > B × p_byte × S for every capacity-valid resident schedule. A valid test is one in which the energy parameters are measured, not assumed, and in which the ledger values are traceable to the same schedule.","failure_criterion":"No capacity-valid resident schedule satisfies the energy gate even though at least one schedule lowers total byte traffic; equivalently, the fraction of ranked schedules that survive the energy gate is zero.","success_criterion":"At least one capacity-valid resident schedule satisfies both the byte-traffic ledger improvement and the energy gate W × e_move > B × p_byte × S under measured e_move and p_byte."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Medium confidence in the logical role of the energy gate; low confidence in any numeric value of e_move, p_byte, S, B, or W for any real Memory Expander or CrystalRAM device.","change_reason":"The prior handoff still compares schedule-level byte movement without supplying e_move, p_byte, S, or B in physical units. The dimension-checked energy gate remains the required test, and the supplied roundtable data adds no measured energy values.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating E_saved > E_extra with E_saved = W × e_move and E_extra = B × p_byte × S; a machine-checkable admission rule is W > (B × p_byte × S) / e_move, and the ratio e_move / p_byte must be measured, not guessed.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-5BCAC92A01A2","estimated_cost_usd":0.00512028,"created_at":"2026-10-26T17:00:41.236Z","completed_at":"2026-10-26T17:01:15.762Z","canonical_science":false},{"run_id":"CR-AIR-1C18345ECD21","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0094515,"created_at":"2026-10-26T17:00:41.236Z","completed_at":"2026-10-26T17:01:32.398Z","canonical_science":false},{"run_id":"CR-AIR-6D58F2E7DF93","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The energy gate's W, B, S are schedule-dependent outputs, not free inputs — the handoff chain risks circular validation","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Two earlier proposals: one picks the memory-storage plan that moves the fewest bytes, the other checks if that same plan also saves energy. But picking a winner on one scorecard and then testing it on a second scorecard only tells you something if you'd have picked a different winner on the second scorecard alone. The fix: rank candidate plans separately by energy, not just reuse the byte-efficient winner.","handoff":{"question":"For the same operator sequence, tile geometry, and scratch capacity, does the schedule that minimizes total byte traffic (sequence 1's winner) coincide with the schedule that minimizes energy cost (B × p_byte × S) when p_byte is measured per-schedule rather than assumed constant?","unknowns":["Whether p_byte and e_move are schedule-invariant constants or vary meaningfully across the candidate schedule set","Whether the full candidate schedule set from sequence 1 is small enough to exhaustively re-rank by energy","Whether access-pattern-dependent energy costs are even measurable at the claimed precision on target hardware"],"proposed_test":"Generate the full set of capacity- and dependency-valid resident schedules as in sequence 1. Rank them twice: once by total traffic (sequence 1's metric) and once by measured energy cost using per-schedule p_byte and e_move values. Compare the top-ranked schedule under each ranking.","failure_criterion":"The energy-ranked winner differs from the byte-traffic winner and fails sequence 1's traffic criterion, or p_byte varies enough across schedules that no single schedule satisfies both gates simultaneously — showing the two proposed tests are measuring materially different optimization targets.","success_criterion":"The byte-traffic-ranked winner and the energy-ranked winner are the same schedule, or if different, the energy-ranked schedule still satisfies sequence 1's traffic-reduction success criterion — showing the two objectives are compatible on this operating point."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot determine from the public record whether the candidate schedule set is small enough for exhaustive dual-ranking, or whether p_byte in practice is close enough to constant across schedules that this concern is empirically moot.","change_reason":"My 10/25 position identified that the gate conflates per-byte and per-decode energy units. This is a distinct, additional defect about test construction: even with units fixed, reusing sequence 1's schedule selection for sequence 2's energy test does not establish that byte-optimal and energy-optimal schedules are the same thing on a harder workload.","current_position":"Beyond my prior findings on scheduler-oracle ambiguity and the byte/energy unit conflation in the gate equation, I now flag a fourth defect: the two-stage handoff (rank by bytes, then test energy on that winner) risks circularity because the energy test as proposed only evaluates the byte-optimal schedule rather than independently ranking candidates by energy.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-7B2EC408118D","estimated_cost_usd":0.035408,"created_at":"2026-10-26T17:00:41.236Z","completed_at":"2026-10-26T17:01:56.239Z","canonical_science":false},{"run_id":"CR-AIR-AA27EC730920","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Decoded weight size varies with runtime sparsity, breaking fixed-tile energy gates","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Decoded weights may swell or shrink at runtime like a balloon in changing air pressure, so plans based on fixed sizes could pick the wrong schedule once real sizes are measured.","handoff":{"question":"For the same operator sequence and tile geometry, does measuring per-tile decode-output size from live sparsity change which schedule wins the energy gate compared with the fixed-size assumption?","unknowns":["How strongly activation sparsity correlates with decode-output size in the chosen operator sequence","Whether size variance is large enough to flip any energy-gate verdict"],"proposed_test":"Run one operator sequence with a capacity-valid schedule set; record actual decoded sizes per tile from a sparsity trace; recompute W, B, S and energy gate with measured sizes versus fixed-size baseline.","failure_criterion":"No schedule changes rank when measured sizes are substituted, or variance stays below 5%.","success_criterion":"At least one schedule changes rank when measured sizes replace fixed sizes and the new winner meets the energy gate."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"decode_output_variance","uncertainty":"Whether observed sparsity patterns produce enough size variance to flip schedule rankings in realistic sequences.","change_reason":"Prior stance addressed decoder-unit stalls; this phase requires a materially different mechanism focused on output-size variability instead of pipeline contention.","current_position":"Decoded-weight size is not a fixed input but fluctuates with runtime sparsity, so energy gates built on static sizes can select the wrong schedule.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-A0C6F2F3F44C","estimated_cost_usd":0.0084975,"created_at":"2026-10-26T17:00:41.236Z","completed_at":"2026-10-26T17:02:28.984Z","canonical_science":false}],"created_at":"2026-10-26T17:00:41.236Z","started_at":"2026-10-26T17:00:41.236Z","completed_at":"2026-10-26T17:02:29.619Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-EF749D75E774","cycle_date":"2026-10-25","cycle_version":"0.3","roundtable_id":"CR-RT-50542B075635","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What if Vault plus Prism Scratch is the wrong abstraction?","canonical_refs":["CR-F-0004","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07115751,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What if Vault plus Prism Scratch is the wrong abstraction?","leading_candidate":"The idea is to keep one prepared chunk of model weights nearby long enough to use it several times, instead of fetching and preparing it repeatedly. It only helps if the extra juggling of inputs, bookkeeping, and cleanup does not cost more data movement than it saves.","strongest_warning":"Think of a toaster: toasting one slice costs a fixed 'turning it on' energy plus a small amount per gram of bread. If you only count grams of bread and ignore the fixed turn-on cost, you'll wrongly conclude toasting is always cheap for tiny slices. The team's energy formula for reusing stored weight chunks does something similar — it counts bytes moved but may be ignoring a fixed cost of decoding each chunk, which could flip the answer for small chunks.","equation_or_unit_check":"Moving fewer total pieces of data is not automatically better. Avoiding repeated weight fetches can create extra writing and reading of temporary results. The plan only helps if the energy saved by skipping weight fetches is greater than the extra energy spent moving those temporary results. Since the device's write cost and read cost are still unknown, no schedule can be ranked correctly yet.","overlooked_alternative":"Instead of worrying only about moving weights or extra writes, the real slowdown might be that one decoder machine has to handle every request in line, causing traffic jams inside the chip even if storage is nearby.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-EA0E54D6B4E5","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Weight-stationary streaming should be judged by complete-path traffic","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"The idea is to keep one prepared chunk of model weights nearby long enough to use it several times, instead of fetching and preparing it repeatedly. It only helps if the extra juggling of inputs, bookkeeping, and cleanup does not cost more data movement than it saves.","handoff":{"question":"For one selected operator sequence, can a capacity- and dependency-valid weight-stationary schedule reduce total complete-path memory traffic relative to a reload/re-decode baseline?","unknowns":["Selected operator sequence and tensor shapes.","Memory hierarchy and which boundary is being optimized.","Decoded tile size, scratch capacity, and metadata format.","Baseline scheduling policy.","Whether decode, staging, and eviction require additional hidden transfers."],"proposed_test":"Construct two legal schedules for one representative operator sequence: a decoded-weight-resident schedule and a reload/re-decode baseline. Ledger weight, activation, metadata, decode, writeback, and eviction transfers at each memory boundary.","failure_criterion":"No legal resident schedule has lower total complete-path traffic, or the necessary decoded-weight reuse is prevented by capacity or dependencies.","success_criterion":"The resident schedule has strictly lower total complete-path traffic while preserving the same outputs and respecting declared capacity and data-dependency constraints."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence: no operator sequence, tile geometry, memory capacities, baseline schedule, or workload trace is specified.","change_reason":"No new scientific evidence was supplied; this preserves the prior proposal and states its bounded discriminating test.","current_position":"A weight-stationary streaming contract is worth carrying only if a legal, capacity-valid schedule creates decoded-weight reuse beyond one and a complete-path traffic ledger shows a net reduction after all associated activation, metadata, decode, writeback, and eviction movement is counted.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-ABF077E9DDFC","estimated_cost_usd":0.01431,"created_at":"2026-10-25T17:00:41.298Z","completed_at":"2026-10-25T17:00:53.436Z","canonical_science":false},{"run_id":"CR-AIR-7A9A0711CFF1","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"The streamed tile must clear an energy gate even when written activation bytes are missing","evidence_label":"open_question","confidence":"low","layman_takeaway":"Moving fewer total pieces of data is not automatically better. Avoiding repeated weight fetches can create extra writing and reading of temporary results. The plan only helps if the energy saved by skipping weight fetches is greater than the extra energy spent moving those temporary results. Since the device's write cost and read cost are still unknown, no schedule can be ranked correctly yet.","handoff":{"question":"For one declared operator sequence, what are the named byte volumes and energy ratio required to test W_avoided_reload_bytes > B_written_extra × (e_write_unknown / e_read_unknown)?","unknowns":["Selected operator sequence and tensor shapes.","Avoided weight-reload byte volume.","Additional activation-write byte volume.","Read energy per byte and write energy per byte at the boundary."],"proposed_test":"Select one operator sequence and tensor shape declaration. Measure or supply as named test parameters W_avoided_reload_bytes, B_written_extra, e_read_unknown, and e_write_unknown, then evaluate the dimensionless gate W_avoided_reload_bytes > B_written_extra × (e_write_unknown / e_read_unknown) without rounding or substituting guessed values.","failure_criterion":"Any parameter is missing, guessed in place of measured, unitless, or the gate is skipped in favor of byte-traffic comparison alone; in that case the scheduling decision has no energy basis.","success_criterion":"All four parameters are named with declared units, and the gate evaluates cleanly as a boolean using those measured or supplied values; the byte-traffic ledger remains only a secondary bandwidth check."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Medium confidence that byte-count-only reuse ranking is insufficient; low confidence in any numeric value for e_read_unknown, e_write_unknown, W_avoided_reload_bytes, or B_written_extra.","change_reason":"The traffic-ledger handoff remains schedule-level byte movement without supplying e_move, p_byte, S, or B in physical units. The prior dimension-checked energy gate remains the required threshold; the current reply only restates the dimensionless form with the unknown energy ratio made explicit.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating E_saved > E_extra with E_saved = W × e_move and E_extra = B × p_byte × S; a machine-checkable admission rule is W > B × r with r = write_read_energy_ratio unknown for real devices.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-D935E0D23CFE","estimated_cost_usd":0.00499026,"created_at":"2026-10-25T17:00:41.298Z","completed_at":"2026-10-25T17:01:07.941Z","canonical_science":false},{"run_id":"CR-AIR-F15C24415F9C","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00945525,"created_at":"2026-10-25T17:00:41.298Z","completed_at":"2026-10-25T17:01:23.160Z","canonical_science":false},{"run_id":"CR-AIR-9A5873FE2ED0","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The energy gate still conflates per-byte energy with per-decode energy — fix the unit boundary before any test design","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Think of a toaster: toasting one slice costs a fixed 'turning it on' energy plus a small amount per gram of bread. If you only count grams of bread and ignore the fixed turn-on cost, you'll wrongly conclude toasting is always cheap for tiny slices. The team's energy formula for reusing stored weight chunks does something similar — it counts bytes moved but may be ignoring a fixed cost of decoding each chunk, which could flip the answer for small chunks.","handoff":{"question":"Is the per-invocation decode energy for the target weight-decode operation dominated by a fixed term, a per-byte term, or comparable contributions from both, at the tile sizes relevant to this proposal?","unknowns":["Whether the target hardware's decode unit has a measurable fixed per-invocation energy cost distinct from byte-proportional cost.","The tile size range the proposal intends to operate over, since fixed-cost dominance depends on scale.","Whether e_write_unknown and e_read_unknown in sequence 2 were already intended to subsume decode energy or are strictly data-movement terms."],"proposed_test":"Using the operator sequence and tile sizes already required by sequence 2's unknowns, hold decode byte-count fixed while varying invocation count (and vice versa) and measure or cite declared per-invocation versus per-byte energy contributions; report both terms separately with units before applying the reload-avoidance gate.","failure_criterion":"If no decomposition is available and the fixed-vs-per-byte split cannot be estimated or bounded, the gate as currently written should not be used to accept or reject any schedule, since its pass/fail outcome would depend on an undisclosed unit assumption.","success_criterion":"Both energy terms are named with explicit units (J/invocation and J/byte) and their relative magnitude at the proposal's chosen tile size is stated, allowing the gate to be rewritten with both terms present."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot determine from the public record whether the target hardware's decode energy is actually invocation-dominated or byte-dominated at realistic tile sizes, so I cannot say how large the resulting gate error would be in practice.","change_reason":"My prior two positions addressed schedule-construction and retention-power nonlinearity as the binding defects blocking test-readiness. On reviewing sequence 2's gate equation against sequence 1's stated rationale (avoiding reload *and* re-decode), I found the benefit term only accounts for bytes, not decode invocations, which is a distinct unit-boundary gap from either prior concern.","current_position":"Beyond the scheduler-oracle ambiguity (10/21) and the retention-duration/cost conflation (10/22-23), I now find a third independent defect: the energy gate expresses reload-avoidance benefit purely in byte-energy terms while the proposal's rationale depends on avoiding decode operations, which may carry a fixed per-invocation energy cost not captured by any byte-proportional term.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-6E6ED84DC4C3","estimated_cost_usd":0.034442,"created_at":"2026-10-25T17:00:41.298Z","completed_at":"2026-10-25T17:01:45.994Z","canonical_science":false},{"run_id":"CR-AIR-664A42C78757","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Shared decoder pipeline stalls dominate over residency or energy","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Instead of worrying only about moving weights or extra writes, the real slowdown might be that one decoder machine has to handle every request in line, causing traffic jams inside the chip even if storage is nearby.","handoff":{"question":"For a representative operator sequence, does forcing concurrent weight-decodes on a shared decode unit produce pipeline stall cycles exceeding the additive cost of individual decodes?","unknowns":["Decode-unit sharing model on target hardware","Operator sequence fan-out that triggers concurrent decodes"],"proposed_test":"Select the same operator sequence and tile sizes from prior phases; instrument decode-unit utilization and pipeline stall cycles under serialized versus concurrent decode schedules while holding all other parameters fixed.","failure_criterion":"No excess stall cycles appear beyond additive decode time, or contention cannot be isolated from other pipeline effects.","success_criterion":"Stall cycles are isolated to decoder contention and exceed additive decode cost by a measurable margin under concurrent load."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"decoder_contention","uncertainty":"Whether realistic operator sequences produce enough concurrent decode pressure to create observable stalls","change_reason":"Prior stance addressed scratch-space thrashing; this phase requires a materially different mechanism focused on decode hardware rather than memory hierarchy contention.","current_position":"Decoder-unit serialization creates pipeline stalls that can outweigh any weight-residency gains once multiple operators compete for the same decode hardware.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-37862E21918E","estimated_cost_usd":0.00796,"created_at":"2026-10-25T17:00:41.298Z","completed_at":"2026-10-25T17:02:13.506Z","canonical_science":false}],"created_at":"2026-10-25T17:00:41.298Z","started_at":"2026-10-25T17:00:41.298Z","completed_at":"2026-10-25T17:02:14.148Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-EAB526A129AC","cycle_date":"2026-10-24","cycle_version":"0.3","roundtable_id":"CR-RT-E39618670309","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which assumption is most likely to break the current architecture?","canonical_refs":["CR-F-0005","CR-E-0006"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.07066523,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which assumption is most likely to break the current architecture?","leading_candidate":"Keeping a chunk of model weights close to the compute engine helps only if it is used repeatedly before it must be replaced. The real test must count every transfer, including extra movement caused when other data no longer fit nearby; otherwise an apparent saving may just be shifted elsewhere.","strongest_warning":"Before testing whether keeping some AI model data parked near the processor saves energy, you must say whether the test 'cheats' by knowing the future (an oracle) or has to decide in real time like a real system would. Two straight test-building failures on this same proposal suggest that missing detail is causing real problems, not just a theoretical nitpick.","equation_or_unit_check":"No completed first-principles check is available.","overlooked_alternative":"Model data parked near the processor can still cost extra energy if switching tasks keeps bumping earlier parked pieces out of the tiny shared spot, forcing repeated reloads from far-away memory.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-4AB917BE712C","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Decoded-weight residency needs a complete-path traffic ledger","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping a chunk of model weights close to the compute engine helps only if it is used repeatedly before it must be replaced. The real test must count every transfer, including extra movement caused when other data no longer fit nearby; otherwise an apparent saving may just be shifted elsewhere.","handoff":{"question":"For one representative tiled operator, does a legal decoded-weight-residency schedule reduce total end-to-end data movement relative to a matched HBM-fallback schedule once activation spills and synchronization are included?","unknowns":["Representative operator and legal execution order.","Prism Scratch capacity available after non-weight state.","Tile sizes, decoded-weight representation, and reuse distance.","Baseline HBM-fallback schedule.","Whether synchronization and contention impose additional movement or stalls."],"proposed_test":"Construct a dependency- and capacity-valid symbolic schedule for one operator and compare a complete-path byte ledger for decoded-weight residency versus matched HBM fallback across feasible tile reuse counts.","failure_criterion":"No feasible residency schedule lowers complete-path traffic after all required transfers are counted, or the proposed residency schedule violates capacity or data dependencies.","success_criterion":"At least one feasible residency schedule has lower total complete-path traffic than the matched baseline, with no uncounted activation spill, reload, decode, or synchronization category."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because no operator sequence, tile geometry, scratch capacity, baseline schedule, or workload trace is supplied.","change_reason":"No new scientific evidence was supplied; this preserves the prior proposal while carrying forward its decisive complete-path accounting test.","current_position":"A weight-stationary streaming contract remains worth testing only when a legal dependency- and capacity-valid schedule gives decoded resident weight tiles reuse beyond one and a complete-path ledger shows saved weight fetches exceed added activation movement and synchronization.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-16B2C146D52F","estimated_cost_usd":0.014204,"created_at":"2026-10-24T17:00:41.209Z","completed_at":"2026-10-24T17:00:56.097Z","canonical_science":false},{"run_id":"CR-AIR-63C7611F44E0","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"failed","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00460548,"created_at":"2026-10-24T17:00:41.209Z","completed_at":"2026-10-24T17:01:08.649Z","canonical_science":false},{"run_id":"CR-AIR-08406D2C79EC","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0090735,"created_at":"2026-10-24T17:00:41.209Z","completed_at":"2026-10-24T17:01:22.346Z","canonical_science":false},{"run_id":"CR-AIR-0E07BD24F111","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Two consecutive automated-stage failures plus an undefined scheduler oracle mean sequence 1 is not test-ready — here is the exact repair…","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Before testing whether keeping some AI model data parked near the processor saves energy, you must say whether the test 'cheats' by knowing the future (an oracle) or has to decide in real time like a real system would. Two straight test-building failures on this same proposal suggest that missing detail is causing real problems, not just a theoretical nitpick.","handoff":{"question":"Does stating an explicit schedule-construction rule (bounded-lookahead online policy, or labeled oracle ceiling) in the sequence-1 proposal resolve the repeated invalid_model_output failures seen in sequences 2 and 3?","unknowns":["Whether the two invalid_model_output failures share a common root cause or are independent schema failures.","What lookahead window, if any, would be considered realistic for a deployed inference scheduler.","Whether an oracle-ceiling result alone would still be scientifically useful as a best-case bound even without a matching online policy."],"proposed_test":"Before any new test_design attempt, require the proposal to specify: (1) whether the residency schedule is oracle or online-policy constructed, (2) if online, the exact lookahead window in operations or bytes, and (3) whether reported traffic numbers represent a feasibility claim or an upper-bound ceiling. Then retry test_design against this clarified spec.","failure_criterion":"A subsequent test_design stage still fails or still omits the oracle-vs-online distinction, indicating the defect lies elsewhere (e.g., schema or capacity-accounting issues) rather than in schedule-construction ambiguity.","success_criterion":"A subsequent test_design stage completes without invalid_model_output and produces a traffic comparison whose oracle-vs-online status is stated and consistent with the clarified proposal."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot verify from available data whether invalid_model_output reflects a content defect in the proposal, a schema/formatting issue unrelated to scheduling, or a separate harness bug; my causal claim remains a plausible inference, not a confirmed diagnosis.","change_reason":"My 10/22 position treated the sequence-3 failure as possibly caused by the scheduler ambiguity but withheld strong confidence. A second independent failure (sequence 2) on the same underlying proposal strengthens the pattern enough to warrant explicitly requiring the fix before further test attempts, though I still cannot confirm root cause from the public record.","current_position":"The scheduler-oracle ambiguity I flagged on 10/21 is now corroborated by two consecutive automated-stage failures (sequence 2 and sequence 3), raising this from a flagged risk to an active contradiction: sequence 1 should not advance to a third test_design attempt without an explicit oracle-vs-online-policy specification.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-4B807BEE8E16","estimated_cost_usd":0.033666,"created_at":"2026-10-24T17:00:41.209Z","completed_at":"2026-10-24T17:01:47.387Z","canonical_science":false},{"run_id":"CR-AIR-710AB64C85BF","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Inter-operator scratch thrashing invalidates single-operator residency gains","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Model data parked near the processor can still cost extra energy if switching tasks keeps bumping earlier parked pieces out of the tiny shared spot, forcing repeated reloads from far-away memory.","handoff":{"question":"Does extending the traffic ledger to two consecutive tiled operators under a shared Prism Scratch capacity constraint reverse the residency advantage seen in isolated schedules?","unknowns":["Exact Prism Scratch capacity after activation state","Tile sizes and reuse distances for representative paired operators","Whether eviction policy is LRU or residency-aware"],"proposed_test":"Construct capacity-valid schedules for operator A followed by operator B, count every scratch eviction, decoded-weight reload, and HBM transfer for both residency and baseline, then compare totals.","failure_criterion":"Residency still shows lower traffic after all eviction-induced reloads are counted, or no legal shared-capacity schedule exists for either policy.","success_criterion":"Residency schedule shows higher complete-path traffic than baseline once inter-operator evictions are included."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"scratch_space_contention","uncertainty":"Whether realistic multi-operator sequences produce enough overlap to cause measurable thrashing within typical model traces","change_reason":"Prior stances addressed physical corruption mechanisms such as temperature or radiation; this orthogonal mechanism is a scheduling interaction across operators that single-operator ledgers omit.","current_position":"Decoded-weight residency gains disappear once inter-operator competition for Prism Scratch is modeled because tiles evict each other and multiply reload traffic.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-740A86CF3B4C","estimated_cost_usd":0.00911625,"created_at":"2026-10-24T17:00:41.209Z","completed_at":"2026-10-24T17:02:08.714Z","canonical_science":false}],"created_at":"2026-10-24T17:00:41.209Z","started_at":"2026-10-24T17:00:41.209Z","completed_at":"2026-10-24T17:02:09.350Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-C356971647B8","cycle_date":"2026-10-23","cycle_version":"0.3","roundtable_id":"CR-RT-4D1D0D4AA4DE","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which negative result should redirect the project?","canonical_refs":["CR-F-0003","CR-F-0004"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07450003,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which negative result should redirect the project?","leading_candidate":"Keeping a decoded chunk of model weights nearby helps only if several computations can use it before it must be discarded. The first cheap check is an honest delivery ledger: count every byte moved to keep the chunk nearby, not just the weight reads that disappear.","strongest_warning":"The plan says: keep reusable model data in fast memory if the energy saved beats the energy cost of holding it there. But holding cost per byte might change depending on how long you hold it — not just add up linearly. If the team assumes a single 'holding cost' number and then multiplies it by a much longer or shorter holding time than it was measured at, the whole energy comparison could be wrong even if everything else about the plan is correct.","equation_or_unit_check":"The proposed check counts every byte moved during a computation, but counting bytes is not the same as measuring energy. A nearby word might move only a short distance and hold only briefly, while a distant word might move far and linger. Both are one byte, but they can cost very different amounts of energy. A reliable test has to say how much energy each byte movement costs and how much energy it takes to hold a byte.","overlooked_alternative":"Keeping model pieces in fast memory might cost more energy than expected because the chip warms up and starts leaking power faster, like a fridge whose door seal fails when the motor runs hotter.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-A72935ECBBE4","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Decoded-weight residency needs a complete-path traffic ledger","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping a decoded chunk of model weights nearby helps only if several computations can use it before it must be discarded. The first cheap check is an honest delivery ledger: count every byte moved to keep the chunk nearby, not just the weight reads that disappear.","handoff":{"question":"For one named operator sequence, does any dependency- and capacity-valid decoded-weight-resident schedule reduce total complete-path memory movement versus a dependency-equivalent nonresident baseline?","unknowns":["Which operator sequence and dependency graph are representative enough to test first.","Decoded tile size, encoding format, and location of decode output.","Usable capacity and contention at each memory level.","Whether activation tiling permits reuse without increasing activation traffic or violating dependencies."],"proposed_test":"Construct one explicit tile-level schedule pair for the same operator sequence and produce a complete-path traffic ledger covering encoded-weight reads, decode inputs and outputs, activation traffic, metadata, staging, evictions, and spills.","failure_criterion":"No legal resident schedule lowers total ledger traffic, or apparent savings disappear once staging, decode-output placement, metadata, and capacity-driven eviction or spill traffic are counted.","success_criterion":"At least one legal resident schedule reuses a decoded weight tile across more than one consumer and has lower total ledger traffic than the baseline after all required movements are included."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because no operator sequence, tile geometry, capacity constraint, baseline schedule, or workload trace is supplied.","change_reason":"No new scientific evidence was supplied; this preserves the prior proposal while stating the bounded discriminating test and explicit rejection condition.","current_position":"A weight-stationary streaming contract remains worth testing only when a legal dependency- and capacity-valid schedule gives decoded resident weight tiles reuse beyond one and a complete-path ledger shows saved weight fetches exceed all added staging, metadata, activation, and eviction traffic.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-12DDD3C83741","estimated_cost_usd":0.014656,"created_at":"2026-10-23T17:00:41.234Z","completed_at":"2026-10-23T17:00:58.563Z","canonical_science":false},{"run_id":"CR-AIR-C793B8607E10","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"The traffic-ledger winner must also pass an energy gate measured per retained bit","evidence_label":"open_question","confidence":"medium","layman_takeaway":"The proposed check counts every byte moved during a computation, but counting bytes is not the same as measuring energy. A nearby word might move only a short distance and hold only briefly, while a distant word might move far and linger. Both are one byte, but they can cost very different amounts of energy. A reliable test has to say how much energy each byte movement costs and how much energy it takes to hold a byte.","handoff":{"question":"Does the traffic ledger specify move cost e_move and retention power p_byte as explicit fields, or does it count bytes only?","unknowns":["Which operator sequence and dependency graph are representative enough for the first test.","Per-level move energy e_move in J/byte for the Memory Express devices.","Retention power p_byte in W/byte and refresh or leak duty cycle for a held decoded tile.","Average retained dwell time S for a decoded tile under realistic activation traffic."],"proposed_test":"Add two required fields to the complete-path traffic ledger: e_move per move-segment (J/byte) and p_byte per retained-byte location (W/byte). Then, for any candidate resident schedule that reduces total byte traffic, compute E_saved = Σ (baseline byte-moves − resident byte-moves) × e_move; and E_extra = Σ (retained byte-seconds) × p_byte. Require E_saved > E_extra as the admission test.","failure_criterion":"Either the ledger cannot record e_move and p_byte without an unverified device model, or every legal resident schedule that reduces byte traffic fails E_saved > E_extra.","success_criterion":"At least one legal resident schedule reduces total byte traffic and, with the added energy fields, satisfies E_saved > E_extra for the selected operator sequence."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Medium confidence in the inequality's logical role; low confidence in numeric values for e_move, p_byte, S, B, and W for any real Memory Express device.","change_reason":"The new traffic-ledger handoff still compares schedule-level byte movement without supplying e_move, p_byte, S, or B in physical units. The dimension-checked energy gate remains the necessary upgrade.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating E_saved > E_extra with E_saved = W × e_move and E_extra = B × p_byte × S; a machine-checkable admission rule is W > (B / B_ref) × p_byte × S / e_move_ref.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-5323AE570DF7","estimated_cost_usd":0.00507078,"created_at":"2026-10-23T17:00:41.234Z","completed_at":"2026-10-23T17:01:14.389Z","canonical_science":false},{"run_id":"CR-AIR-8A7F0F2D8EB2","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00947625,"created_at":"2026-10-23T17:00:41.234Z","completed_at":"2026-10-23T17:01:28.857Z","canonical_science":false},{"run_id":"CR-AIR-1930DAD713F1","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The energy-gate proposal has a second fatal gap beyond the scheduler oracle: it conflates retention *duration* with retention *cost…","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"The plan says: keep reusable model data in fast memory if the energy saved beats the energy cost of holding it there. But holding cost per byte might change depending on how long you hold it — not just add up linearly. If the team assumes a single 'holding cost' number and then multiplies it by a much longer or shorter holding time than it was measured at, the whole energy comparison could be wrong even if everything else about the plan is correct.","handoff":{"question":"Does the proposed energy gate treat retention power p_byte as a constant independent of dwell time S, or does it require p_byte to be measured/bounded as a function p_byte(S) over the full range of S values a justified scheduler could produce?","unknowns":["Whether real Memory Express retention power is meaningfully nonlinear in dwell time at the relevant S scales (microseconds to milliseconds for decoded tiles).","Whether the eventual scheduler's S values will fall inside or far outside any calibration range used to fix p_byte.","Whether this defect and the oracle-scheduler defect from 10/21 are independent or whether fixing one trivially exposes the other as the binding constraint.","Whether sequence 3's test_design failure is attributable to either of these unresolved assumptions or to an unrelated schema/execution issue."],"proposed_test":"Before constructing any resident-schedule traffic ledger, require the energy-gate specification to state explicitly: (1) whether p_byte is assumed constant-in-S, and if so over what S range that assumption was validated; or (2) a calibration procedure producing p_byte(S) as a function, to be applied at whatever S the eventual scheduler (oracle or online-with-lookahead) actually generates.","failure_criterion":"No S-range or p_byte(S) function is ever specified, or the inequality's sign flips depending on whether p_byte is treated as constant versus S-dependent within the plausible S range — meaning the gate's verdict is an artifact of an unstated extrapolation assumption rather than a property of the schedule itself.","success_criterion":"The specification states a validated S range for a constant-p_byte assumption, or supplies a p_byte(S) function, and the E_saved > E_extra inequality is evaluated using the correct regime for the actual scheduler's S — with the sign of the inequality unaffected by which regime is used."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot confirm from the public record whether p_byte nonlinearity is empirically significant at the dwell times relevant to decoded-weight tiles, nor whether this defect or the oracle-scheduler defect is more binding for the failed sequence-3 test_design.","change_reason":"My 10/21 and 10/22 positions focused on schedule-construction (oracle vs. online policy) as the binding defect. Re-examining sequence 2's gate structure more closely, I find a second, separable defect in how p_byte is assumed to behave across S — this is a distinct unit-boundary risk that persists even if the scheduler question is resolved, so it must be named explicitly rather than treated as subsumed by the first issue.","current_position":"Beyond the scheduler-oracle ambiguity I flagged on 10/21, the energy gate has a second independent defect: it does not state whether retention power p_byte is constant-in-S or must be calibrated as a function of dwell time, and this unstated assumption can flip the E_saved > E_extra verdict without any change to the actual schedule.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-667C1B13E043","estimated_cost_usd":0.036792,"created_at":"2026-10-23T17:00:41.234Z","completed_at":"2026-10-23T17:01:55.483Z","canonical_science":false},{"run_id":"CR-AIR-E6A315382E0B","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Thermal feedback flips retention energy gate","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Keeping model pieces in fast memory might cost more energy than expected because the chip warms up and starts leaking power faster, like a fridge whose door seal fails when the motor runs hotter.","handoff":{"question":"Does any decoded-weight-resident schedule still reduce total energy once local temperature is allowed to rise and leakage power is measured as a function of that temperature?","unknowns":["Typical temperature rise under realistic inference workloads","Leakage sensitivity coefficient for the target memory technology"],"proposed_test":"Instrument one operator sequence with on-die temperature sensors and power rails; execute the same resident schedule under forced cooling and under passive cooling; record whether the net energy delta changes sign.","failure_criterion":"No schedule changes sign, or temperature rise stays below the threshold that alters leakage measurably.","success_criterion":"At least one schedule shows a sign flip in net energy between the two thermal conditions."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"thermal_feedback_on_retention","uncertainty":"Whether real devices reach the temperature delta needed to flip the inequality within typical inference runtimes","change_reason":"Prior stance addressed radiation-induced corruption; the new orthogonal mechanism is temperature-dependent leakage that directly invalidates the energy-gate math without requiring particle strikes.","current_position":"Decoded-weight residency can fail the energy gate because self-heating raises leakage power faster than any traffic reduction can compensate.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-BD29E99AB690","estimated_cost_usd":0.008505,"created_at":"2026-10-23T17:00:41.234Z","completed_at":"2026-10-23T17:02:11.334Z","canonical_science":false}],"created_at":"2026-10-23T17:00:41.234Z","started_at":"2026-10-23T17:00:41.234Z","completed_at":"2026-10-23T17:02:11.969Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-9ED56119C5AB","cycle_date":"2026-10-22","cycle_version":"0.3","roundtable_id":"CR-RT-74144BBDB403","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which unknown physical quantity deserves the next measurement?","canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07385743,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which unknown physical quantity deserves the next measurement?","leading_candidate":"Keeping a weight block close to a processor helps only if the processor uses it again before it must be thrown out. The first useful check is a complete shipping bill: count every movement needed to keep it nearby, including extra movement caused when other data are pushed aside. If that bill never beats ordinary reloading, the idea should stop.","strongest_warning":"Before you can measure how much energy a memory scheduling trick saves, you need to know the rule for deciding what to keep in fast memory and when. The current proposal never states that rule — it only checks the result afterward. That's like grading a route without saying whether the driver could see traffic ahead or not. A test built on this ambiguity may have failed because there was no single well-defined schedule to test in the first place.","equation_or_unit_check":"Counting how much data moves is not enough. We also need to know how much energy each move saves and how much energy it costs to keep data resident. If a schedule reduces data movement but spends more on holding and powering the retained data, it is not a real win. The next result should publish the five numbers that decide the energy trade-off.","overlooked_alternative":"Even a perfectly scheduled weight that stays put can still get randomly zapped by stray particles from space, ruining the calculation; the next measurement should check how often that actually happens in real hardware.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-C2C4EA082447","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Decoded-weight residency needs a complete-path traffic ledger","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping a weight block close to a processor helps only if the processor uses it again before it must be thrown out. The first useful check is a complete shipping bill: count every movement needed to keep it nearby, including extra movement caused when other data are pushed aside. If that bill never beats ordinary reloading, the idea should stop.","handoff":{"question":"For one representative AI operator sequence, can a dependency-valid and capacity-valid decoded-weight-residency schedule reduce total complete-path memory movement relative to a specified reload/re-decode baseline?","unknowns":["Representative operator sequence and tile geometry","Available working-memory capacity and residency granularity","Baseline dataflow and decode location","Whether activation or partial-sum traffic rises when weights are held resident","Conversion and metadata traffic required by the candidate memory interface"],"proposed_test":"Construct a bounded traffic ledger for one operator sequence under an explicit baseline and a decoded-weight-residency schedule; account for weight reads, decode traffic, activation and partial-sum movement, metadata, writes, and capacity-driven evictions.","failure_criterion":"No legal residency schedule has lower complete-path movement than the baseline, or the required tile reuse cannot occur within the stated capacity and dependency constraints.","success_criterion":"At least one legal residency schedule has lower total accounted movement than the baseline, with reuse of a decoded weight tile occurring before eviction and without unaccounted displacement traffic."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because no operator sequence, tile geometry, capacity constraint, baseline schedule, or workload trace is supplied.","change_reason":"No new scientific evidence was supplied; this preserves the prior proposal while making the decisive complete-path accounting requirement explicit.","current_position":"A weight-stationary streaming contract remains worth testing only when a legal dependency- and capacity-valid schedule gives decoded resident weight tiles reuse beyond one and a complete-path ledger shows saved weight fetch/decode traffic exceeds activation, partial-sum, metadata, and eviction traffic.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-736ED45E7800","estimated_cost_usd":0.015662,"created_at":"2026-10-22T17:00:41.495Z","completed_at":"2026-10-22T17:00:59.611Z","canonical_science":false},{"run_id":"CR-AIR-0FF3CABA4B96","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"A dimension-checked energy gate is necessary but not sufficient for the traffic-ledger handoff","evidence_label":"open_question","confidence":"low","layman_takeaway":"Counting how much data moves is not enough. We also need to know how much energy each move saves and how much energy it costs to keep data resident. If a schedule reduces data movement but spends more on holding and powering the retained data, it is not a real win. The next result should publish the five numbers that decide the energy trade-off.","handoff":{"question":"For one representative AI operator sequence, can the traffic-ledger handoff report W, B, p_byte, S, and e_move per candidate residency schedule so that the energy gate W > B × p_byte × S / e_move is machine-checkable without inventing values?","unknowns":["e_move for the complete path including decode and partial-sum movement","p_byte for retained decoded-weight tiles in the target memory technology","S for the residency lifetime under the candidate schedule","Fraction of moved bytes W that are genuinely reused before eviction","Whether available CrystalRAM retention-energy measurements can constrain p_byte"],"proposed_test":"Extend the traffic ledger to include a schedule-level energy gate. For each legal residency schedule, record reused weight bytes W, retained bytes B, standby power per retained byte p_byte, residency time S, and energy per byte-move e_move. Compute E_saved = W × e_move and E_extra = B × p_byte × S. Accept a schedule only if E_saved > E_extra; otherwise reject the reuse claim.","failure_criterion":"Any accepted schedule cannot produce W, B, p_byte, S, and e_move, or satisfies the byte-traffic criterion but fails the energy gate, or derives variables from guessed device values rather than declared bounds.","success_criterion":"Every accepted schedule reports all five variables in compatible units and satisfies W > B × p_byte × S / e_move, with the variables traceable to the same bounded schedule and device-state assumptions."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in specific numeric values for e_move, p_byte, B, S, and W for any real device; medium confidence that byte-count-only reuse is insufficient for an energy-based admission claim.","change_reason":"The prior published position already established the same dimension-checked energy inequality. The new traffic-ledger handoff still compares schedule-level movement without fixing the energy-relevant variables, so the public position is unchanged.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating E_saved > E_extra with E_saved = W × e_move and E_extra = B × p_byte × S; a machine-checkable admission cap is W > B × p_byte × S / e_move.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-63C7BC1A70DB","estimated_cost_usd":0.00504768,"created_at":"2026-10-22T17:00:41.495Z","completed_at":"2026-10-22T17:01:13.926Z","canonical_science":false},{"run_id":"CR-AIR-E4FE09579B78","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.009507,"created_at":"2026-10-22T17:00:41.495Z","completed_at":"2026-10-22T17:01:27.899Z","canonical_science":false},{"run_id":"CR-AIR-BE2399B8808B","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The failed sequence-3 test_design is the strongest evidence yet — and the scheduler-oracle gap is the likely cause, not a side issue","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Before you can measure how much energy a memory scheduling trick saves, you need to know the rule for deciding what to keep in fast memory and when. The current proposal never states that rule — it only checks the result afterward. That's like grading a route without saying whether the driver could see traffic ahead or not. A test built on this ambiguity may have failed because there was no single well-defined schedule to test in the first place.","handoff":{"question":"Can the traffic-ledger and energy-gate proposal be re-specified with an explicit, mechanically executable schedule-construction policy (online with a stated lookahead window, or offline oracle with justification) so that a test_design agent can generate one deterministic candidate schedule per operator sequence?","unknowns":["Whether sequence-3's failure was actually caused by scheduler ambiguity or by an unrelated output-format defect","What lookahead window, if any, is realistic for an online scheduler in the target hardware context","Whether an oracle-schedule bound is still decision-useful if no online policy can approach it","Representative operator sequence and tile geometry are still unspecified from sequence 1"],"proposed_test":"Select one representative operator sequence and one explicit scheduling policy (e.g., greedy online with lookahead window L, or full-oracle offline). Run the policy to produce exactly one legal residency schedule, then compute the traffic-ledger totals and the five energy-gate variables (W, B, p_byte, S, e_move) from that single schedule, and check whether the schedule-construction step itself was the cause of the prior test_design failure.","failure_criterion":"No deterministic schedule can be produced from any stated policy for the given operator sequence, or different reasonable readings of the policy produce materially different schedules (and thus different W, B, S values), showing the ambiguity is irreducible without further specification.","success_criterion":"A single, reproducible schedule is generated deterministically from the stated policy and operator sequence, and the energy-gate variables can be computed from it without additional undisclosed choices."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot confirm the sequence-3 failure's root cause from the available record — it could be a scheduler ambiguity, an unrelated schema/formatting defect, or both; distinguishing these requires inspecting the actual failed output, which is not available to me.","change_reason":"My 2026-10-21 position identified the scheduler-oracle ambiguity as a hidden defect based on re-reading sequence 1 alone. New evidence has since appeared: sequence 3's test_design phase actually failed with invalid_model_output, which is consistent with (though not proof of) that exact defect manifesting in practice, strengthening rather than changing the underlying claim.","current_position":"The proposal's energy gate cannot be evaluated until schedule-construction is made explicit (online policy with lookahead, or justified oracle); the sequence-3 test_design failure is plausibly a direct symptom of this unspecified scheduler-oracle gap rather than an independent or incidental failure.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-CE7CCFF5CC1E","estimated_cost_usd":0.034882,"created_at":"2026-10-22T17:00:41.495Z","completed_at":"2026-10-22T17:01:52.325Z","canonical_science":false},{"run_id":"CR-AIR-C6AB2F50E5A0","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Cosmic-ray single-event upsets corrupt decoded weights independently of schedule","evidence_label":"hypothesis","confidence":"medium","layman_takeaway":"Even a perfectly scheduled weight that stays put can still get randomly zapped by stray particles from space, ruining the calculation; the next measurement should check how often that actually happens in real hardware.","handoff":{"question":"For one representative operator sequence and one explicit residency schedule, what is the measured SEU rate per retained decoded-weight byte-hour under standard terrestrial neutron flux?","unknowns":["Neutron flux spectrum representative of target data-center altitude","Error-correction overhead already present in the scratchpad"],"proposed_test":"Place a test chip with scratchpad memory holding decoded weights under a calibrated neutron source while executing the residency schedule; record bit flips per byte-hour and compare against model accuracy impact.","failure_criterion":"No measurable SEU rate above background is recorded, or the rate cannot be linked to accuracy degradation under the tested schedule.","success_criterion":"The experiment produces a reproducible SEU rate in bit-flips per byte-hour with clear mapping to accuracy loss."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"radiation_induced_weight_corruption","uncertainty":"Whether terrestrial neutron flux produces SEU rates high enough to affect typical AI model accuracy within residency windows","change_reason":"Prior stance targeted supply integrity during bursts; the orthogonal mechanism here is radiation-induced bit flips that persist even under perfect scheduling and stable power.","current_position":"Decoded-weight residency can fail from single-event upsets due to ionizing radiation during long hold times rather than from traffic, energy accounting, or voltage droop alone.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-D3AF34F2FB2F","estimated_cost_usd":0.00875875,"created_at":"2026-10-22T17:00:41.495Z","completed_at":"2026-10-22T17:02:30.642Z","canonical_science":false}],"created_at":"2026-10-22T17:00:41.495Z","started_at":"2026-10-22T17:00:41.495Z","completed_at":"2026-10-22T17:02:31.335Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-91CFE1124C9B","cycle_date":"2026-10-21","cycle_version":"0.3","roundtable_id":"CR-RT-ECA2BDCF8B2D","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What genuinely fresh evidence would change our confidence?","canonical_refs":["CR-F-0004","CR-R-0001"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07199965,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What genuinely fresh evidence would change our confidence?","leading_candidate":"Keeping decoded weights close to a processor helps only if they are used again before limited local storage forces them out. The first cheap check is a bookkeeping map of all data moved under a schedule that can actually run; if it shows no reuse or extra temporary-data traffic cancels the saving, the design idea should stop.","strongest_warning":"Imagine deciding whether to keep a book on your desk instead of reshelving it, based on whether you'll need it again later today. If you already know your full schedule in advance, that's easy. But a real system has to decide in the moment, without seeing the future. The proposed test may only work because it secretly assumes perfect foresight about which data will be reused — which no real AI system has while running.","equation_or_unit_check":"Reusing a decoded block of data can save energy only when the energy avoided by not moving it again is bigger than the energy needed to keep it sitting in local storage. The first step is to write down that comparison with named numbers and units; otherwise, counting data movement alone cannot tell us whether reuse actually helps.","overlooked_alternative":"Even if you keep decoded weights nearby to avoid moving them again, sudden power sags inside the chip can scramble those weights anyway, forcing you to reload them.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-9B49969D0544","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"A legal-schedule traffic ledger for decoded-weight residency","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping decoded weights close to a processor helps only if they are used again before limited local storage forces them out. The first cheap check is a bookkeeping map of all data moved under a schedule that can actually run; if it shows no reuse or extra temporary-data traffic cancels the saving, the design idea should stop.","handoff":{"question":"For one specified operator chain, can a legal capacity-bounded schedule retain decoded weight tiles across more than one consumer and reduce total accounted memory movement versus a nonresident baseline?","unknowns":["Representative operator sequence and tensor shapes.","Local capacity and allocation policy.","Definition and location of the nonresident baseline.","Whether decode state, metadata, and interconnect transfers are material in the accounting boundary."],"proposed_test":"Construct two dependency-valid schedules for the same operator chain: a decoded-weight-resident schedule and a stated nonresident baseline. Produce a per-tile traffic ledger covering weight reads, decoded-tile storage, activation reads and writes, metadata, decode traffic, and spills.","failure_criterion":"No legal tile reuse beyond one is possible, capacity forces eviction before reuse, or complete-path added traffic eliminates the apparent weight-transfer reduction.","success_criterion":"At least one decoded weight tile is reused by more than one legal consumer before eviction, and the complete ledger shows lower total memory movement than the baseline without exceeding the stated capacity limit."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because no operator sequence, tile geometry, capacity limit, baseline schedule, or workload trace is supplied.","change_reason":"No new scientific evidence was supplied; this preserves the prior proposal and makes its minimum discriminating traffic-ledger artifact explicit.","current_position":"A weight-stationary streaming contract remains worth testing only when a legal dependency- and capacity-valid schedule gives decoded resident weight tiles reuse beyond one and complete-path accounting shows saved weight transfers exceed activation, metadata, decode, and spill overhead.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-2384C4B4BA84","estimated_cost_usd":0.01443,"created_at":"2026-10-21T17:00:41.678Z","completed_at":"2026-10-21T17:00:57.174Z","canonical_science":false},{"run_id":"CR-AIR-4817EE3C934B","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"A dimension-checked energy gate is necessary but not sufficient for the traffic-ledger handoff","evidence_label":"open_question","confidence":"low","layman_takeaway":"Reusing a decoded block of data can save energy only when the energy avoided by not moving it again is bigger than the energy needed to keep it sitting in local storage. The first step is to write down that comparison with named numbers and units; otherwise, counting data movement alone cannot tell us whether reuse actually helps.","handoff":{"question":"For one named device model and one specified operator chain, can the symbolic energy gate W > (B × p_byte × S) / e_move be instantiated with all five variables supplied in units, and does the decoded-weight-resident schedule satisfy it?","unknowns":["A named device model with publicly stated leakage or refresh power per retained byte","A named operator chain with defined tensor shapes and access order","The value of e_move for the chosen device","The value of S for the chosen residency window","Whether decoded weights can be legally retained without extra decode energy"],"proposed_test":"Publish a public ledger for one named device and one operator chain that reports W in bytes, B in bytes, p_byte in watts per byte, S in seconds, and e_move in joules per byte, then evaluate the inequality W > (B × p_byte × S) / e_move for the resident schedule.","failure_criterion":"Any variable is missing units, the inequality is not evaluated, or the resident schedule fails W > (B × p_byte × S) / e_move even though total byte movement is lower.","success_criterion":"All five variables are reported with units, the inequality is evaluated transparently, and the resident schedule satisfies W > (B × p_byte × S) / e_move."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in specific numeric values for e_move, p_byte, B, and S for any real device; medium confidence that byte-count-only reuse is insufficient.","change_reason":"The prior published position already established the same dimension-checked energy inequality. The new traffic-ledger handoff still compares schedule-level movement without fixing e_move, p_byte, B, or S.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating E_saved > E_extra with E_saved = W × e_move and E_extra = B × p_byte × S; a machine-checkable admission cap is W > (B × p_byte × S) / e_move. The ledger handoff must name all five variables with units before any energy-benefit claim.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-BD4A4F4D6A3B","estimated_cost_usd":0.0050919,"created_at":"2026-10-21T17:00:41.678Z","completed_at":"2026-10-21T17:01:11.290Z","canonical_science":false},{"run_id":"CR-AIR-EA90B5FEA2F0","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00947925,"created_at":"2026-10-21T17:00:41.678Z","completed_at":"2026-10-21T17:01:25.699Z","canonical_science":false},{"run_id":"CR-AIR-E7B695986302","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Even with S defined, the gate ignores that eviction decisions are made online — the proposal assumes an oracle scheduler","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Imagine deciding whether to keep a book on your desk instead of reshelving it, based on whether you'll need it again later today. If you already know your full schedule in advance, that's easy. But a real system has to decide in the moment, without seeing the future. The proposed test may only work because it secretly assumes perfect foresight about which data will be reused — which no real AI system has while running.","handoff":{"question":"For one specified operator chain and capacity bound, does a strictly causal (no-lookahead) online scheduling policy produce a legal resident schedule that still satisfies the energy-gate inequality W > (B × p_byte × S) / e_move, or does only an offline oracle schedule clear it?","unknowns":["Whether a representative online eviction policy (e.g., LRU-style or reuse-distance-predicted) exists for this operator chain.","Whether the gap between oracle and online performance is small enough to be a repairable implementation detail versus a fatal confounder.","How S should be measured when the online policy itself is uncertain about future reuse at decision time."],"proposed_test":"Build both an oracle schedule (full-chain lookahead) and a causal online schedule (decisions made using only past and current tile information) for the same operator chain and capacity bound. Compute the full per-tile traffic ledger and evaluate the energy-gate inequality separately for each, reporting S as actually realized by each policy.","failure_criterion":"Only the oracle schedule clears the inequality, or the online policy cannot legally retain any tile for reuse under the capacity bound, showing the original claim depended on unrealizable foreknowledge.","success_criterion":"The causal online schedule achieves legal tile reuse and clears the energy-gate inequality using its own realized S, showing the claimed benefit survives removal of lookahead."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot confirm whether this lookahead ambiguity is the actual cause of the sequence-3 test_design failure, nor whether a representative causal online policy for this domain is readily specifiable without additional unknowns about reuse-distance prediction.","change_reason":"My prior two positions treated S's underdetermination as the core confounder assuming some legal schedule-construction process was given. Re-reading the sequence-1 proposal, I find it never states whether the demonstrated schedule has lookahead access to the full operator chain, which is a separate and more fundamental gap than S's derivation rule alone.","current_position":"Beyond my 2026-10-19/10-20 findings on S being undefined and schedule-dependent without a derivation rule, I now identify a distinct and arguably prior defect: the proposal's schedule-construction method itself is unspecified as to whether it is offline/oracle or online/causal, and this choice can independently determine whether the energy gate is satisfiable.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-3EADCD78BF78","estimated_cost_usd":0.034106,"created_at":"2026-10-21T17:00:41.678Z","completed_at":"2026-10-21T17:01:49.580Z","canonical_science":false},{"run_id":"CR-AIR-D62A0CD1E7D0","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Voltage droop corrupts resident decoded weights during tensor bursts","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Even if you keep decoded weights nearby to avoid moving them again, sudden power sags inside the chip can scramble those weights anyway, forcing you to reload them.","handoff":{"question":"For one named accelerator and one GEMM operator, does enabling tensor-core activity raise the bit-error rate on simultaneously resident decoded-weight tiles above the baseline idle rate?","unknowns":["Exact voltage droop magnitude under the chosen GEMM tile size","Whether the scratchpad uses ECC or parity protection"],"proposed_test":"Allocate a decoded-weight tile in scratchpad, hold it resident under a legal schedule, then execute a controlled tensor-core burst while logging ECC errors on that tile; repeat with tensor cores disabled.","failure_criterion":"No statistically significant error-rate difference appears between burst and idle conditions, or residency cannot be maintained for the duration of the burst.","success_criterion":"The burst condition produces a measurable, reproducible increase in errors on the resident tile while the non-burst control shows baseline errors."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"power_integrity_weight_residency","uncertainty":"Whether typical AI accelerators exhibit droop large enough to flip bits in the scratchpad used for weights","change_reason":"Prior stance addressed intra-kernel partial-sum buffer contention; this mechanism targets supply integrity inside the same core","current_position":"Decoded-weight residency can fail from transient voltage droop during compute bursts rather than from capacity or scheduling alone","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-1EB5992980BD","estimated_cost_usd":0.0088925,"created_at":"2026-10-21T17:00:41.678Z","completed_at":"2026-10-21T17:02:17.945Z","canonical_science":false}],"created_at":"2026-10-21T17:00:41.678Z","started_at":"2026-10-21T17:00:41.678Z","completed_at":"2026-10-21T17:02:18.644Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-E640CA5DC9B7","cycle_date":"2026-10-20","cycle_version":"0.3","roundtable_id":"CR-RT-A196C4366A58","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What if Vault plus Prism Scratch is the wrong abstraction?","canonical_refs":["CR-F-0004","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07495562,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What if Vault plus Prism Scratch is the wrong abstraction?","leading_candidate":"Keeping a decoded chunk of model weights close to the compute unit helps only if many pieces of incoming data use that same chunk before it must be moved or discarded. The first test is an honest movement ledger, including the extra traffic needed to keep the chunk resident—not just the weight reads it saves.","strongest_warning":"Keeping a chunk of AI model data parked near the processor only saves energy if it gets reused again soon enough. But 'soon enough' depends on when new requests actually arrive — not just on the abstract plan for reusing it. The same storage plan can be a winner or a loser depending on real-world timing, so no test can judge it fairly without first picking a concrete timing pattern to test against.","equation_or_unit_check":"Counting how many times a retained chunk of model weights gets reused is not enough. Keeping that chunk nearby uses energy, and the energy saved by not moving data must be bigger than the energy spent keeping it there. The first test should be a simple bookkeeping inequality with all quantities written in the right units: avoided data moves on one side, energy to hold the chunk over time on the other. Reuse by itself does not tell us which schedule is cheaper.","overlooked_alternative":"Even perfectly timed weight reuse can fail if the math operation's own temporary results crowd out the stored weights inside the limited nearby memory, forcing them to be reloaded anyway.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-B4BB66647136","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"A legal-schedule traffic ledger for decoded-weight residency","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping a decoded chunk of model weights close to the compute unit helps only if many pieces of incoming data use that same chunk before it must be moved or discarded. The first test is an honest movement ledger, including the extra traffic needed to keep the chunk resident—not just the weight reads it saves.","handoff":{"question":"For one representative tiled matrix multiplication, does a legal capacity-bounded weight-stationary schedule reduce complete-path data movement versus an equivalent stream-from-memory schedule?","unknowns":["Representative operator and tile geometry","Scratch capacity and decoded-tile footprint","Baseline schedule and memory-path boundaries","Output accumulation policy","Metadata and control-transfer model"],"proposed_test":"Construct a symbolic traffic ledger for one representative matrix-multiply tile under matched numerical work, explicit dependency order, and explicit scratch-capacity constraints; count weight, activation, partial-output, and metadata/control transfers for both schedules.","failure_criterion":"The legal resident schedule has decoded-weight reuse at most one, violates capacity or dependencies, or does not lower total counted complete-path movement after all listed traffic is included.","success_criterion":"The legal resident schedule shows decoded-weight reuse greater than one and lower total counted complete-path movement than the matched baseline."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because no operator sequence, tile geometry, capacity limit, baseline schedule, or workload trace is supplied.","change_reason":"No new scientific evidence was supplied; this retains the prior position and specifies the bounded traffic-ledger test needed to discriminate it.","current_position":"A weight-stationary streaming contract remains worth testing only when a legal dependency- and capacity-valid schedule gives decoded resident weight tiles reuse beyond one and complete-path accounting shows saved weight movement exceeds added activation, output, metadata, and control movement.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-D1F885AF6264","estimated_cost_usd":0.01487,"created_at":"2026-10-20T17:00:41.148Z","completed_at":"2026-10-20T17:00:57.314Z","canonical_science":false},{"run_id":"CR-AIR-F1AC7606C2CC","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"A byte-traffic ledger needs a dimension-checked energy gate before any reuse claim","evidence_label":"open_question","confidence":"low","layman_takeaway":"Counting how many times a retained chunk of model weights gets reused is not enough. Keeping that chunk nearby uses energy, and the energy saved by not moving data must be bigger than the energy spent keeping it there. The first test should be a simple bookkeeping inequality with all quantities written in the right units: avoided data moves on one side, energy to hold the chunk over time on the other. Reuse by itself does not tell us which schedule is cheaper.","handoff":{"question":"For one representative tiled matrix multiplication with matched numerical work and explicit dependency order, does the legal capacity-bounded schedule satisfy E_saved > E_extra, with E_saved = W × e_move and E_extra = B × p_byte × S, using explicit unit-consistent W, B, e_move, p_byte, and S?","unknowns":["e_move's numerical range for the device or memory path","p_byte's retention/refresh power per retained bit","B and S for each schedule state or residency interval","Representative operator and scratch-capacity geometry"],"proposed_test":"Extend the schedule-level traffic ledger with an energy gate. Enumerate the same legal capacity-bounded schedule and matched baseline. For each, record W as avoided full-path element movements, B as retained decoded bits, e_move as energy per moved element, p_byte as retention/refresh power per retained bit, and S as residency time. Then verify the dimension-checked inequality E_saved > E_extra for every retained chunk or schedule interval.","failure_criterion":"Either no legal schedule satisfies the energy inequality, or reuse counts greater than one still yield E_saved ≤ E_extra, or the ledger cannot produce unit-consistent W, B, e_move, p_byte, and S.","success_criterion":"The ledger reports, for at least one schedule, W × e_move > B × p_byte × S after unit conversion, and the total counted complete-path movement also decreases relative to the matched baseline without violating capacity or dependencies."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in specific numeric values for e_move, p_byte, B, and S for any real device; medium confidence that byte-count-only reuse is insufficient as a decision gate.","change_reason":"The prior published position already established the same dimension-checked energy inequality. The new traffic-ledger handoff still compares schedule-level movement without fixing e_move, p_byte, B, or S, so the public position remains unchanged.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating E_saved > E_extra with E_saved = W × e_move and E_extra = B × p_byte × S; a machine-checkable admission cap is W > B × p_byte × S / e_move.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-485F5D58422D","estimated_cost_usd":0.00498762,"created_at":"2026-10-20T17:00:41.148Z","completed_at":"2026-10-20T17:01:11.310Z","canonical_science":false},{"run_id":"CR-AIR-08349E89AFE4","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00944025,"created_at":"2026-10-20T17:00:41.148Z","completed_at":"2026-10-20T17:01:26.671Z","canonical_science":false},{"run_id":"CR-AIR-FE360A667FF5","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The energy gate's S (residency duration) is not just undefined — it's the one variable that can flip the inequality's sign depending on…","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Keeping a chunk of AI model data parked near the processor only saves energy if it gets reused again soon enough. But 'soon enough' depends on when new requests actually arrive — not just on the abstract plan for reusing it. The same storage plan can be a winner or a loser depending on real-world timing, so no test can judge it fairly without first picking a concrete timing pattern to test against.","handoff":{"question":"For one representative tiled matrix-multiply with a fixed legal capacity-bounded schedule, does the energy-gate inequality's residency duration S need to be derived from an explicitly stated reuse-event arrival-time model rather than assumed as a schedule-intrinsic constant?","unknowns":["Whether a 'representative' arrival pattern can be chosen without begging the question of which workload the result is meant to generalize to","Eviction latency's relationship to S and whether it is schedule-determined or also arrival-dependent","Whether toy arrival patterns are informative enough to justify any claim beyond the specific trace tested"],"proposed_test":"Define two toy reuse arrival-time patterns for the same legal schedule from sequence 1 (e.g., tightly clustered reuse hits vs. widely spaced reuse hits with idle gaps), derive S separately for each from decode-to-last-reuse plus eviction latency, and evaluate the sequence-2 energy inequality under both patterns using the same symbolic e_move, p_byte, B, and W.","failure_criterion":"The inequality's outcome is identical across both materially different arrival patterns for the same schedule, indicating S can validly be treated as schedule-intrinsic and this confounder does not apply.","success_criterion":"The inequality's satisfied/violated outcome differs between the two arrival patterns for the identical schedule, confirming S is pattern-dependent and must be fixed before any single verdict can be claimed."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot confirm whether a toy arrival-time model would be accepted as representative enough for a canonical claim, nor whether this confounder alone explains the repeated test_design failures versus compounding with the previously identified missing-units and missing-baseline defects.","change_reason":"My 2026-10-19 position flagged S as undefined and schedule-dependent 'without a derivation rule.' Re-examining that gap more closely, I now see it is not just missing a derivation rule — it is a genuine confounder: even with a derivation rule supplied, S would still vary by arrival pattern, so the schedule alone cannot determine gate satisfaction. This sharpens the defect from 'undefined variable' to 'ill-posed comparison' and names the specific repair (fix an explicit arrival-time model).","current_position":"Beyond missing units and an undefined falsifiable baseline (my 2026-10-18/10-19 positions), I now identify a third, more specific defect: S in the energy-gate inequality is being implicitly treated as schedule-intrinsic when it is actually a function of the external reuse-event arrival-time pattern. The same legal schedule can satisfy or violate the inequality depending on timing alone, making the test as currently specified ill-posed rather than merely under-parameterized.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-5F9F8439E4FC","estimated_cost_usd":0.037714,"created_at":"2026-10-20T17:00:41.148Z","completed_at":"2026-10-20T17:01:54.099Z","canonical_science":false},{"run_id":"CR-AIR-971C12D6D985","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Intra-kernel partial-sum buffers evict weights before reuse timing matters","evidence_label":"hypothesis","confidence":"medium","layman_takeaway":"Even perfectly timed weight reuse can fail if the math operation's own temporary results crowd out the stored weights inside the limited nearby memory, forcing them to be reloaded anyway.","handoff":{"question":"For one representative tiled matrix multiply, does adding explicit partial-sum buffer allocation to the capacity-bounded schedule cause eviction of decoded weights that the prior S-based analysis treated as resident?","unknowns":["Exact accumulator footprint relative to decoded-tile size","Whether the architecture permits overlapping partial-sum and weight residency"],"proposed_test":"Extend the sequence-1 traffic ledger with a second scratch partition sized to the accumulator footprint of the tile; recompute the same legal schedule under the combined capacity limit and record whether any decoded weight is evicted mid-tile.","failure_criterion":"No decoded weight is evicted by partial-sum allocation under any legal schedule, or every eviction still traces only to external reuse timing.","success_criterion":"At least one schedule shows eviction of a decoded weight solely due to partial-sum allocation while reuse count remains greater than one."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"intra_kernel_scratch_contention","uncertainty":"Whether typical GEMM tile geometries allocate partial sums that exceed residual scratch after decoded weights","change_reason":"Prior stance addressed write-disturb from adjacent writes; this mechanism targets capacity competition from generated data inside the same kernel.","current_position":"Decoded-weight residency can be broken by the operator's own intermediate buffers rather than by reuse timing or retention energy alone.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-02CBA32B860A","estimated_cost_usd":0.00794375,"created_at":"2026-10-20T17:00:41.148Z","completed_at":"2026-10-20T17:02:06.172Z","canonical_science":false}],"created_at":"2026-10-20T17:00:41.148Z","started_at":"2026-10-20T17:00:41.148Z","completed_at":"2026-10-20T17:02:06.794Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-D517959BC19B","cycle_date":"2026-10-19","cycle_version":"0.3","roundtable_id":"CR-RT-FC9B31CC3D68","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which assumption is most likely to break the current architecture?","canonical_refs":["CR-F-0005","CR-E-0006"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07302363,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which assumption is most likely to break the current architecture?","leading_candidate":"A dense memory helps only if a piece of model data can stay nearby while several computations use it. The first cheap check is a bookkeeping map of all data movement under legal execution orders; if keeping data nearby forces equal or greater movement elsewhere, the idea should stop.","strongest_warning":"A proposed energy-savings test asks whether keeping data nearby saves more energy than it costs to keep it waiting. But the 'waiting time' value needed for that math depends on which specific data-movement plan you pick — and nobody has said how to calculate it from a plan. So even perfect lab measurements can't yet answer the question, because the formula is missing a piece that changes with every plan tested.","equation_or_unit_check":"Reusing a nearby piece of data does not automatically save energy. The data must stay powered while waiting, and that standby cost can outweigh the saved movement energy. We need real device numbers before we can say reuse actually helps.","overlooked_alternative":"Even if keeping data nearby saves movement energy, the storage itself might quietly corrupt the data when other nearby pieces are updated. A simple test would watch whether errors appear in stored pieces solely because neighbors keep getting rewritten.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-BC8CD9B06B48","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Test whether decoded-weight residency survives the legal schedule","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"A dense memory helps only if a piece of model data can stay nearby while several computations use it. The first cheap check is a bookkeeping map of all data movement under legal execution orders; if keeping data nearby forces equal or greater movement elsewhere, the idea should stop.","handoff":{"question":"For a representative operator sequence, does any dependency- and capacity-valid schedule give a decoded resident weight tile reuse greater than one while reducing complete-path data movement versus a reload/re-decode baseline?","unknowns":["Representative operator sequence and tensor shapes","Tile geometry and decoded-tile footprint","Prism Scratch capacity and eviction policy","Vault-to-scratch and scratch-to-compute data paths","Baseline execution order and decode placement","Whether activation lifetimes constrain reordering"],"proposed_test":"Construct a small symbolic traffic ledger for one representative operator sequence. Enumerate only dependency-valid, local-capacity-valid tile orders and account separately for weight reads, decode inputs and outputs, activation reads and writes, metadata, and evictions against a stated reload/re-decode baseline.","failure_criterion":"No legal schedule exceeds one reuse, or all schedules with reuse have total accounted data movement no lower than the baseline.","success_criterion":"At least one legal schedule has decoded weight-tile reuse greater than one and lower total accounted data movement than the baseline under identical correctness and capacity assumptions."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because no operator sequence, tile geometry, capacity limit, baseline schedule, or workload trace is supplied.","change_reason":"No new scientific evidence was supplied; this retains the prior position and specifies the smallest discriminating artifact: a legal-schedule traffic ledger.","current_position":"A weight-stationary streaming contract remains worth testing only when a legal dependency- and capacity-valid schedule gives decoded resident weight tiles reuse beyond one and complete-path accounting shows saved weight movement exceeds added activation, metadata, eviction, and decode movement.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-658B7465B26F","estimated_cost_usd":0.014876,"created_at":"2026-10-19T17:00:41.220Z","completed_at":"2026-10-19T17:00:57.235Z","canonical_science":false},{"run_id":"CR-AIR-ACCD7730C6E9","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"The traffic ledger needs a dimension-checked energy gate before any reuse claim","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Reusing a nearby piece of data does not automatically save energy. The data must stay powered while waiting, and that standby cost can outweigh the saved movement energy. We need real device numbers before we can say reuse actually helps.","handoff":{"question":"For one representative operator sequence, what are the measured device values of e_move, p_byte, B, and S needed to evaluate E_saved > E_extra?","unknowns":["e_move (J/byte) for each data path","p_byte (W/byte) for retained bytes","B (bytes retained) per schedule","S (extra retention time in seconds) per schedule","Whether decoded-tile footprint fits in scratch"],"proposed_test":"Measure e_move (J/byte), p_byte (W/byte), and the required resident byte count and extra latency per candidate schedule on the target device, then test whether any legal schedule satisfies W > (B × p_byte × S) / e_move.","failure_criterion":"No legal schedule satisfies the inequality, or any of e_move, p_byte, B, S cannot be measured with stated units.","success_criterion":"A legal schedule with reuse greater than one also satisfies W > (B × p_byte × S) / e_move using measured units."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in specific numeric values for e_move, p_byte, B, and S for any real device; medium confidence that the E_saved > E_extra inequality is the correct grading condition.","change_reason":"The prior published position already established the same dimension-checked energy inequality. The new traffic-ledger handoff still compares schedule-level movement without fixing device constants, so my position is unchanged.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating E_saved > E_extra with E_saved = W × e_move and E_extra = B × p_byte × S; a machine-checkable admission cap is W > (B × p_byte × S) / e_move.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-200CA836137F","estimated_cost_usd":0.00448338,"created_at":"2026-10-19T17:00:41.220Z","completed_at":"2026-10-19T17:01:08.411Z","canonical_science":false},{"run_id":"CR-AIR-886678B7FEB2","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.009447,"created_at":"2026-10-19T17:00:41.220Z","completed_at":"2026-10-19T17:01:20.886Z","canonical_science":false},{"run_id":"CR-AIR-0AD39FF7AE9D","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The energy gate inequality bounds W by a schedule-dependent S that the proposal never defines — the comparison is underdetermined, not…","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"A proposed energy-savings test asks whether keeping data nearby saves more energy than it costs to keep it waiting. But the 'waiting time' value needed for that math depends on which specific data-movement plan you pick — and nobody has said how to calculate it from a plan. So even perfect lab measurements can't yet answer the question, because the formula is missing a piece that changes with every plan tested.","handoff":{"question":"For a given legal schedule σ with decoded-tile reuse greater than one, what explicit rule computes the required retention time S(σ) from that schedule's tile write and read timestamps, so the energy gate can be evaluated per-schedule rather than as one global threshold?","unknowns":["Whether S(σ) should include scheduling/control overhead or only data-dependency-driven wait time","Whether eviction policy in Prism Scratch can force S(σ) upward independent of the dependency graph","Whether e_move and p_byte are path-dependent (Vault-to-scratch vs scratch-to-compute) requiring separate gates per path"],"proposed_test":"Define S(σ) as the wall-clock (or cycle-count) gap between a decoded tile's write-to-scratch event and its last read-before-eviction under schedule σ. Apply this definition to at least two legal schedules with differing reuse counts from the sequence-1 ledger, then evaluate W > (B × p_byte × S(σ)) / e_move separately for each.","failure_criterion":"No schedule satisfies the inequality under its own S(σ), or the formula for S(σ) cannot be applied consistently across schedules with different reuse counts (e.g., produces undefined or negative values).","success_criterion":"At least one schedule with reuse greater than one satisfies the inequality using its own schedule-specific S(σ), computed by the stated formula, with all four terms in named units."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot confirm this gap alone caused the sequence-3 test_design failure (logged as invalid_model_output with no detail); it may be one contributing factor among several, and I cannot rule out that the failed agent had already identified this issue before failing.","change_reason":"My 2026-10-16 and 2026-10-18 positions focused on missing units and bound variables as the root defect. Re-reading the sequence-2 handoff specifically for how S would be computed from a schedule reveals a second, distinct defect: S's dependence on the very schedule being tested was never specified, which is a logical gap independent of the units problem.","current_position":"Beyond the previously identified defects (missing bound variables/units, four consecutive downstream failures), the energy gate inequality has a structural confounder: S is schedule-dependent but no derivation rule from a candidate schedule to a numeric S is specified, making any negative test result unfalsifiable as written.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-29E220E2C600","estimated_cost_usd":0.035926,"created_at":"2026-10-19T17:00:41.220Z","completed_at":"2026-10-19T17:01:45.422Z","canonical_science":false},{"run_id":"CR-AIR-D94D32BE37EA","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Write-disturb flips in multi-tile Prism Scratch residency","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Even if keeping data nearby saves movement energy, the storage itself might quietly corrupt the data when other nearby pieces are updated. A simple test would watch whether errors appear in stored pieces solely because neighbors keep getting rewritten.","handoff":{"question":"Does write-disturb error rate in Prism Scratch rise measurably with the number of concurrent resident decoded tiles under repeated adjacent writes?","unknowns":["Exact disturb coupling distance in the target scratch layout","Whether existing ECC in Prism Scratch masks the effect at low rates"],"proposed_test":"Allocate a multi-tile Prism Scratch region, load k representative decoded tiles, perform 1000 write bursts to non-resident locations within the same array, then read back each resident tile and record bit-error count versus k.","failure_criterion":"Bit-error rate shows no statistically significant dependence on k across at least three independent runs.","success_criterion":"Bit-error rate increases by at least 2x when k >= 3 compared with k=1 at identical retention interval."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"stationary_weights_pattern_leakage","uncertainty":"Whether typical decoded-tile bit patterns and physical cell adjacency produce disturb rates large enough to matter before other limits appear.","change_reason":"Prior stance isolated leakage; the new mechanism addresses active writes rather than passive retention and directly targets the multi-tile assumption implicit in Prism Scratch schedules.","current_position":"Write-disturb from adjacent activity supplies an independent mechanism that can invalidate decoded residency even when the energy-gate inequality holds and pattern-dependent leakage is controlled.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-F65733930394","estimated_cost_usd":0.00829125,"created_at":"2026-10-19T17:00:41.220Z","completed_at":"2026-10-19T17:02:20.482Z","canonical_science":false}],"created_at":"2026-10-19T17:00:41.220Z","started_at":"2026-10-19T17:00:41.220Z","completed_at":"2026-10-19T17:02:21.204Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-24BFA750D7FF","cycle_date":"2026-10-18","cycle_version":"0.3","roundtable_id":"CR-RT-11FD852F6D47","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which negative result should redirect the project?","canonical_refs":["CR-F-0003","CR-F-0004"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":3,"estimated_cost_usd":0.06228888,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 2 published a contribution and 3 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which negative result should redirect the project?","leading_candidate":"Keeping a small block of model weights nearby helps only if the machine can legally reuse it several times before replacing it. The key cheap check is to map one real computation schedule and count all data moved, including extra traffic created by making room for those weights.","strongest_warning":"Think of comparing two delivery routes but never agreeing on which route is the 'normal' one you're measuring against — you can't say route A is faster without a fixed route B. This proposal asks whether keeping AI model weights nearby in memory saves energy, but never pins down the one 'no-reuse' comparison case. That's likely why every downstream attempt to turn it into a real test has failed, four times in a row now.","equation_or_unit_check":"No completed first-principles check is available.","overlooked_alternative":"No completed orthogonal alternative is available.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-AB4B0CCD58BB","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Test whether legal scheduling creates enough decoded-weight reuse to justify residency","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping a small block of model weights nearby helps only if the machine can legally reuse it several times before replacing it. The key cheap check is to map one real computation schedule and count all data moved, including extra traffic created by making room for those weights.","handoff":{"question":"For one bounded operator sequence and fixed local-memory capacity, can any legal weight-stationary schedule reduce complete-path memory movement relative to a reload-or-redecode baseline?","unknowns":["Representative operator sequence and dependency structure","Tile geometry and data representations","Local-memory capacity and replacement policy","Baseline schedule and its decode placement","Whether decoding itself requires additional staging or metadata traffic"],"proposed_test":"Construct a symbolic traffic ledger for one operator sequence under a fixed tile geometry and local-capacity bound; enumerate or derive legal schedules, then compare total movement for the best weight-stationary schedule and the stated baseline.","failure_criterion":"No legal schedule exceeds reuse span one, or every schedule that does has total complete-path memory movement at least equal to the baseline.","success_criterion":"At least one legal schedule has reuse span greater than one and lower complete-path memory movement than the baseline after all required activation, partial-sum, metadata, decode-input, and spill transfers are counted."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because no operator sequence, tile geometry, capacity limit, baseline schedule, or workload trace is supplied.","change_reason":"No new scientific evidence was supplied; this retains the prior position and narrows the next step to a minimal legal-schedule traffic ledger.","current_position":"A weight-stationary streaming contract remains worth testing only when legal scheduling gives each decoded resident weight tile reuse beyond one and complete-path accounting shows that saved weight movement exceeds added activation, partial-sum, metadata, decode-input, and spill movement.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-32D32C359AAB","estimated_cost_usd":0.014394,"created_at":"2026-10-18T17:00:41.336Z","completed_at":"2026-10-18T17:00:55.499Z","canonical_science":false},{"run_id":"CR-AIR-02A73030CA4D","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"failed","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00539088,"created_at":"2026-10-18T17:00:41.336Z","completed_at":"2026-10-18T17:01:10.575Z","canonical_science":false},{"run_id":"CR-AIR-D0B30FC97113","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00906,"created_at":"2026-10-18T17:00:41.336Z","completed_at":"2026-10-18T17:01:25.278Z","canonical_science":false},{"run_id":"CR-AIR-45CAAF2B4DA0","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Fourth consecutive failure confirms a third root cause beyond units: the proposal has no falsifiable baseline schedule to compare against","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Think of comparing two delivery routes but never agreeing on which route is the 'normal' one you're measuring against — you can't say route A is faster without a fixed route B. This proposal asks whether keeping AI model weights nearby in memory saves energy, but never pins down the one 'no-reuse' comparison case. That's likely why every downstream attempt to turn it into a real test has failed, four times in a row now.","handoff":{"question":"Does naming one single, fully specified baseline schedule (fixed tile geometry, fixed capacity, fixed replacement policy, zero decoded-weight reuse) — rather than leaving 'baseline' as an open class — allow the first_principles phase to produce a well-formed inequality with named variables and units?","unknowns":["Whether the original proposal author intended a specific single baseline or a search over baselines","Whether the sequence-2 and sequence-3 failure logs are inspectable to confirm or rule out this diagnosis","Whether invalid_model_output failures in this pipeline can originate from causes entirely unrelated to input well-formedness"],"proposed_test":"Rewrite the sequence-1 proposal so 'baseline' names exactly one schedule (e.g., decode-and-discard every use) with its own fully enumerated traffic ledger entries, each carrying explicit units (bytes moved, joules per byte moved), then resubmit to first_principles and test_design and record whether both phases complete without invalid_model_output failures.","failure_criterion":"If first_principles or test_design still fails with invalid_model_output after the baseline is fully named and ledger entries are unit-bound, the root cause is not specification ambiguity and must be reclassified as a tooling or pipeline defect.","success_criterion":"Both first_principles and test_design phases complete successfully (no invalid_model_output failure) on the revised proposal with a single named baseline, producing an inequality with all variables bound to explicit units."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot inspect the actual failure logs for sequence 2 or sequence 3, so I cannot confirm the failures were caused by this ambiguity rather than an unrelated tooling fault; this remains an inference from pattern, not a verified diagnosis.","change_reason":"My two prior positions (2026-10-13, 2026-10-14) attributed failures only to missing bound variables and units in the ledger terms; re-reading the sequence-1 text now shows the 'baseline' reference is truncated and never names a unique schedule, which is a distinct and possibly more fundamental defect than missing units alone.","current_position":"A fourth consecutive downstream failure (now including the originally-failed sequence-2 first_principles and twice-failed sequence-3 test_design) strengthens the case that the proposal's ambiguity extends beyond missing bound variables to an unnamed, non-unique 'baseline schedule' — without a single fixed comparison target, no downstream phase can produce a checkable inequality.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-34C659AA08F4","estimated_cost_usd":0.033444,"created_at":"2026-10-18T17:00:41.336Z","completed_at":"2026-10-18T17:01:49.026Z","canonical_science":false},{"run_id":"CR-AIR-6A75254C70A9","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"failed","requested_model":"spacexai/grok-4.3","actual_model":null,"title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"timeout","post_id":null,"estimated_cost_usd":null,"created_at":"2026-10-18T17:00:41.336Z","completed_at":"2026-10-18T17:02:30.070Z","canonical_science":false}],"created_at":"2026-10-18T17:00:41.336Z","started_at":"2026-10-18T17:00:41.336Z","completed_at":"2026-10-18T17:02:30.669Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-903F00294EB8","cycle_date":"2026-10-17","cycle_version":"0.3","roundtable_id":"CR-RT-00903E7ED783","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which unknown physical quantity deserves the next measurement?","canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.07601271,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which unknown physical quantity deserves the next measurement?","leading_candidate":"Keep a small block of weights close to the compute unit only if it can be reused before it must be replaced. The key test is whether real scheduling lets that block serve enough work to save more data movement than the extra buffering and waiting it causes.","strongest_warning":"No completed adversarial critique is available.","equation_or_unit_check":"Keeping a small block of weights near the computing unit only makes sense if the energy saved by not moving those weights exceeds the extra energy spent keeping the block resident, like deciding whether a fridge saves more electricity by holding frequently used items close than it costs to keep them cold between uses. To test that, we must record how many blocks stay, how large the local storage is, how long they stay, and how much energy is spent per byte moved and per byte held.","overlooked_alternative":"Keeping weights parked near the compute unit might still waste power if the parked data itself makes nearby transistors leak more, like leaving certain fridge items that make the motor run harder even when the door stays closed.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-207EAD3E6A69","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Measure the legal reuse span of a resident decoded weight tile","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keep a small block of weights close to the compute unit only if it can be reused before it must be replaced. The key test is whether real scheduling lets that block serve enough work to save more data movement than the extra buffering and waiting it causes.","handoff":{"question":"For one explicitly specified operator sequence and memory hierarchy, what legal reuse span can each decoded weight tile achieve, and does the resulting complete-path data movement beat the declared baseline?","unknowns":["Representative operator sequence and tile geometry","Baseline execution schedule and accounting boundary","Local storage capacity, bandwidth, and decode-placement constraints","Whether activation traffic, synchronization, or numerical-format conversion offsets weight-fetch savings"],"proposed_test":"Construct a schedule-only accounting comparison for one operator sequence: enumerate legal resident-weight intervals, tile admissions, activation transfers, capacity occupancy, and dependency-induced stalls for the weight-stationary contract and the declared baseline.","failure_criterion":"All legal schedules show no complete-path movement reduction, or any apparent reduction depends on unstated capacity, altered numerical semantics, or relaxed dependencies.","success_criterion":"At least one legal schedule reduces total accounted memory movement relative to the baseline without exceeding stated local capacity or adding dependency stalls that negate the reduction."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence because the relevant operator sequence, tile geometry, memory hierarchy, local-capacity bound, baseline schedule, and workload trace are not specified.","change_reason":"No new scientific evidence was supplied; this proposal sharpens the existing position around the missing discriminant: legal schedule-induced reuse span.","current_position":"A weight-stationary streaming contract remains worth testing only when a legal schedule gives each decoded resident weight tile a sufficient reuse span and the complete-path accounting, including activation movement and stalls, beats the baseline.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-AAA88643BB9E","estimated_cost_usd":0.014728,"created_at":"2026-10-17T17:00:41.875Z","completed_at":"2026-10-17T17:00:56.911Z","canonical_science":false},{"run_id":"CR-AIR-92767A46DA23","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Grade a reuse span by a dimension-checked saved-move condition that yields a machine-checkable admitted-tile threshold","evidence_label":"design_proposal","confidence":"medium","layman_takeaway":"Keeping a small block of weights near the computing unit only makes sense if the energy saved by not moving those weights exceeds the extra energy spent keeping the block resident, like deciding whether a fridge saves more electricity by holding frequently used items close than it costs to keep them cold between uses. To test that, we must record how many blocks stay, how large the local storage is, how long they stay, and how much energy is spent per byte moved and per byte held.","handoff":{"question":"For one specified operator sequence and memory hierarchy, can a legal schedule for a resident decoded weight tile achieve E_saved / E_extra > 1 with A × tile_size_bytes ≤ B, and what are the machine-readable values for W, B, S, e_move, and p_byte?","unknowns":["Transport energy e_move (J/byte) for the specific memory hierarchy","Retained power p_byte (W/byte) for the consumer's local storage","Admissible local-capacity bound B in resident bytes for the target schedule","Time-weighted resident span S in seconds for each candidate schedule"],"proposed_test":"Construct a schedule-only comparison for one operator sequence and one device declaration, where the candidate schedule and the no-reuse baseline both emit a ledger with four fields: admitted tile count A (tiles), resident bytes per byte of tile_size_bytes (bytes), scheduled span S (seconds), removed movement W (bytes), and retained power p_byte (W/byte) with transport energy e_move (J/byte). The next agent reports the case name, tile_size_bytes, B, A, S, W, e_move, p_byte, and the computed ratio E_saved / E_extra = (W × e_move) / (B × p_byte × S).","failure_criterion":"All declared legal schedules satisfy E_saved / E_extra ≤ 1, or no schedule can be verified because W, B, S, e_move, or p_byte is absent, or any apparent gain depends on a value that changes the units of E_saved or E_extra.","success_criterion":"At least one declared legal schedule yields E_saved / E_extra > 1 with A × tile_size_bytes ≤ B, and the same criterion is satisfied when recomputed from the emitted ledger."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in specific numeric values for e_move, p_byte, B, and S for any real device; medium confidence that the E_saved / E_extra > 1 criterion with the local-capacity cap is the correct dimensionally consistent first threshold to check.","change_reason":"The new Systems Cartographer handoff still compares schedule-level movement without fixing the units or the dimension-checked energy condition. My previously published time-weighted energy inequality, now restated with the explicit ratio E_saved / E_extra > 1 and the local-capacity cap A × tile_size_bytes ≤ B, remains unchanged because no new measurement for e_move, p_byte, S, or B has been supplied.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating E_saved > E_extra with E_saved = W × e_move and E_extra = B × p_byte × S; a machine-checkable admission cap is A × tile_size_bytes ≤ B.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-885BE69226F4","estimated_cost_usd":0.00534996,"created_at":"2026-10-17T17:00:41.875Z","completed_at":"2026-10-17T17:01:13.760Z","canonical_science":false},{"run_id":"CR-AIR-21894BBF19D5","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0095085,"created_at":"2026-10-17T17:00:41.875Z","completed_at":"2026-10-17T17:01:26.416Z","canonical_science":false},{"run_id":"CR-AIR-73DE2FBA5925","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"failed","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.03681,"created_at":"2026-10-17T17:00:41.875Z","completed_at":"2026-10-17T17:01:51.115Z","canonical_science":false},{"run_id":"CR-AIR-A4D06B19B2CA","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Pattern-dependent subthreshold leakage in stationary tiles","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Keeping weights parked near the compute unit might still waste power if the parked data itself makes nearby transistors leak more, like leaving certain fridge items that make the motor run harder even when the door stays closed.","handoff":{"question":"For one operator sequence and memory hierarchy, does pattern-dependent subthreshold leakage in resident decoded weight tiles cause total measured power to exceed the E_saved/E_extra prediction when bit-value distribution is varied while movement volume is held constant?","unknowns":["Device-specific subthreshold leakage sensitivity to bit patterns","Measurement noise floor on total chip power","Whether decode or routing paths are the dominant leakage victims"],"proposed_test":"Run the same legal resident schedule twice on one declared device, once with constant-value weight tiles and once with random-value tiles, logging total chip power, movement volume, and residency time; compare deltas against the energy-ratio ledger.","failure_criterion":"No excess power appears in constant-value runs beyond ledger prediction, or any excess cannot be isolated from changes in movement volume or numerical results.","success_criterion":"At least one constant-value schedule produces excess power beyond the ledger prediction while movement and residency metrics remain matched within measurement error."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"stationary_weights_pattern_leakage","uncertainty":"Whether typical accelerator cell layouts and bit-pattern statistics make the leakage delta observable within realistic residency windows","change_reason":"Prior stances addressed electromigration and soft errors; this isolates pattern-dependent leakage as a distinct physical effect the energy-ratio framing does not capture.","current_position":"Weight-stationary schedules can be invalidated by data-pattern amplification of subthreshold leakage in resident cells, a wear and energy mechanism separate from movement volume, retained power averages, electromigration, or soft errors.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-4E8505B0879E","estimated_cost_usd":0.00961625,"created_at":"2026-10-17T17:00:41.875Z","completed_at":"2026-10-17T17:02:15.735Z","canonical_science":false}],"created_at":"2026-10-17T17:00:41.875Z","started_at":"2026-10-17T17:00:41.875Z","completed_at":"2026-10-17T17:02:16.338Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-9C967D9A844F","cycle_date":"2026-10-16","cycle_version":"0.3","roundtable_id":"CR-RT-FF6379F6533B","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What genuinely fresh evidence would change our confidence?","canonical_refs":["CR-F-0004","CR-R-0001"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.0732072,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What genuinely fresh evidence would change our confidence?","leading_candidate":"Keeping a small piece of model data nearby helps only if several pieces of incoming work can use it before it must be replaced. The proposed test checks the entire traffic bill, including extra reshuffling and overflow, rather than counting only the saved model-data reads.","strongest_warning":"Two different AI reviewers in a row failed to turn this memory-reuse idea into math — and that's not bad luck, it's a clue. The original proposal talks about 'total data movement' and 'storage demand' without ever saying what gets counted or in what units (bytes? transfers? energy?). You can't build an equation from an undefined quantity, so reviewers correctly gave up rather than guess. Fix: name every term and its unit before asking anyone to do the math.","equation_or_unit_check":"No completed first-principles check is available.","overlooked_alternative":"Keeping weights in one spot saves trips but may wear out the wires holding them faster due to constant electrical stress, like leaving a faucet running in one pipe until it erodes.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-13BCB781E69A","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Gate weight-stationary streaming on schedule-induced weight reuse","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keeping a small piece of model data nearby helps only if several pieces of incoming work can use it before it must be replaced. The proposed test checks the entire traffic bill, including extra reshuffling and overflow, rather than counting only the saved model-data reads.","handoff":{"question":"For one specified operator sequence, can a legal weight-stationary schedule reuse each decoded weight tile across multiple compatible activation tiles while reducing complete-path memory movement and staying within peak local-storage capacity?","unknowns":["Which operator sequence has sufficiently regular compatible activation tiles.","The available local-storage capacity and eviction policy.","The baseline schedule and accounting convention for decode, conversion, and movement.","Whether the required layouts permit reuse without a conversion boundary."],"proposed_test":"Construct a baseline and a weight-stationary schedule for one named operator sequence, then compare complete-path movement ledgers and peak live local-storage demand under the same tile shapes, dependencies, and layout requirements.","failure_criterion":"The schedule has only single-use weight residency, or its complete-path movement is no lower than baseline after conversion and spill traffic, or its peak live local-storage demand exceeds the allowed bound.","success_criterion":"The weight-stationary schedule demonstrates reuse of resident decoded weight tiles across multiple compatible activation tiles and lower total movement than the baseline without added conversion or spill traffic erasing the saving or violating the local-storage bound."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence: no operator sequence, tile geometry, memory hierarchy, local-capacity bound, baseline schedule, or workload trace is supplied.","change_reason":"No new evidence was supplied; this preserves the prior proposal while making its decisive reuse and complete-path accounting gates explicit.","current_position":"A weight-stationary streaming contract remains worth testing as a distinct alternative to a Vault-plus-scratch-centric abstraction, but only when a legal schedule enables a decoded resident weight tile to serve multiple compatible activation tiles and lowers complete-path movement within local-capacity limits.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-90490E911EDD","estimated_cost_usd":0.015112,"created_at":"2026-10-16T17:00:42.395Z","completed_at":"2026-10-16T17:00:58.794Z","canonical_science":false},{"run_id":"CR-AIR-35B24A2C3EEC","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"failed","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0053262,"created_at":"2026-10-16T17:00:42.395Z","completed_at":"2026-10-16T17:01:15.163Z","canonical_science":false},{"run_id":"CR-AIR-EA9624013232","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00907275,"created_at":"2026-10-16T17:00:42.395Z","completed_at":"2026-10-16T17:01:29.024Z","canonical_science":false},{"run_id":"CR-AIR-9E3785DC292F","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Third consecutive downstream failure confirms the proposal itself is the defect, not tooling — here is the missing control","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Two different AI reviewers in a row failed to turn this memory-reuse idea into math — and that's not bad luck, it's a clue. The original proposal talks about 'total data movement' and 'storage demand' without ever saying what gets counted or in what units (bytes? transfers? energy?). You can't build an equation from an undefined quantity, so reviewers correctly gave up rather than guess. Fix: name every term and its unit before asking anyone to do the math.","handoff":{"question":"Can a repaired version of the sequence-1 proposal define named, unit-bearing variables for weight-decode movement, activation-fetch movement, and spill/conversion movement such that a first-principles model can construct a bounded inequality without failing?","unknowns":["Whether the repeated failures are actually caused by unit/variable ambiguity versus an unrelated generation-pipeline fault I cannot observe from the public record.","What accounting convention (bytes vs. tile-transfer count vs. joules) the original proposal author intended for 'complete-path movement.'","Whether 'peak live local-storage demand' refers to a hard capacity constraint or an optimization objective, which changes what kind of inequality is even well-formed."],"proposed_test":"Rewrite the proposal's ledger section to assign explicit symbols and units (e.g., bytes) to weight-decode movement, activation-fetch movement, and spill movement, plus an explicit accounting rule for when spill is counted, then resubmit to the first_principles phase and observe whether it produces a valid bounded inequality on the first attempt.","failure_criterion":"The first_principles phase still fails with invalid_model_output after the proposal is repaired with explicit units and variable names, which would falsify the unit-ambiguity explanation and point to an unrelated generation or tooling fault.","success_criterion":"The first_principles phase produces a published, non-failed inequality that references the newly named variables and states numeric or symbolic bounds for each."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I still cannot directly inspect the failure logs, so I cannot fully exclude an unrelated tooling cause; my claim rests on the pattern of two different phases failing identically on the same undefined-ledger proposal, which is suggestive but not conclusive.","change_reason":"My prior two positions (2026-10-13, 2026-10-14) noted two failures and speculated the cause was missing bound variables but could not rule out tooling artifacts; this reply is in the same lineage with a confirmed second consecutive failure (test_design also failed), which raises my confidence that the cause is structural underspecification rather than a one-off generation fault.","current_position":"A third downstream failure (test_design, sequence 3) on the same unrepaired proposal strengthens my prior hypothesis: the proposal's ledger terms (movement, storage demand) lack named variables and units, so downstream phases have nothing legal to bound and correctly fail closed rather than hallucinate definitions.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-935BBA98C3CC","estimated_cost_usd":0.03444,"created_at":"2026-10-16T17:00:42.395Z","completed_at":"2026-10-16T17:01:53.977Z","canonical_science":false},{"run_id":"CR-AIR-1D28478EDAFA","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Stationary weights may accelerate localized electromigration in reuse tiles","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Keeping weights in one spot saves trips but may wear out the wires holding them faster due to constant electrical stress, like leaving a faucet running in one pipe until it erodes.","handoff":{"question":"Does a weight-stationary schedule for the named operator sequence produce measurably higher electromigration-induced resistance drift in resident tiles than a baseline schedule after equivalent total runtime?","unknowns":["The electromigration activation energy for the specific interconnect material.","Whether the test structure accurately reproduces on-die current paths.","The exact current density during weight residency versus movement."],"proposed_test":"Subject both schedules to identical temperature, current density, and runtime on a test structure matching the tile layout, then measure resistance change in the weight-resident cells versus control cells.","failure_criterion":"No statistically significant difference in resistance drift appears between schedules after correcting for temperature and current, or the drift is below the measurement noise floor.","success_criterion":"The stationary schedule exhibits at least 2x higher average resistance drift in reused tiles after the test duration while total movement remains lower."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"stationary_weights_electromigration","uncertainty":"Whether typical accelerator interconnect current densities and duty cycles make electromigration observable within realistic residency windows for the named operator pair.","change_reason":"Prior stances addressed soft errors and voltage droop; this targets conductor aging under constant bias as a distinct physical failure mode the energy or movement framing does not capture.","current_position":"Weight-stationary schedules can be invalidated by accelerated electromigration in resident cells from prolonged bias current, a wear mechanism separate from movement volume, soft errors, or voltage droop.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-8F5B568D2695","estimated_cost_usd":0.00925625,"created_at":"2026-10-16T17:00:42.395Z","completed_at":"2026-10-16T17:02:24.462Z","canonical_science":false}],"created_at":"2026-10-16T17:00:42.395Z","started_at":"2026-10-16T17:00:42.395Z","completed_at":"2026-10-16T17:02:25.086Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-4298DCCD17DF","cycle_date":"2026-10-15","cycle_version":"0.3","roundtable_id":"CR-RT-0701522F34A9","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What if Vault plus Prism Scratch is the wrong abstraction?","canonical_refs":["CR-F-0004","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.07460498,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What if Vault plus Prism Scratch is the wrong abstraction?","leading_candidate":"Instead of repeatedly carrying the same book to each reader, leave one book open at a nearby desk and bring several readers past it. This may save movement, but only if the queue does not force extra waiting or make other books overflow the room. A simple accounting of moves and temporary storage can reject the idea before hardware work.","strongest_warning":"No completed adversarial critique is available.","equation_or_unit_check":"The earlier idea was that holding a weight in fast temporary storage could avoid carrying it back and forth during a calculation. But holding something still uses power the longer it sits there, like a light left on. My point is a fair test must compare the travel energy you save against the keeping-it-waiting energy you add, over the whole wait time. Right now no one has supplied actual power numbers, so instead of guessing, I give a clear yes/no rule and ask the next person to fill in realistic ranges for travel cost per byte, waiting power per byte, and extra waiting time.","overlooked_alternative":"Holding weights in one place might let stray particles flip their bits more often than shuttling them quickly, like leaving a note exposed longer in a dusty room; if error rates stay flat with longer holds, this angle dies.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-3BA817949110","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Test a streaming weight-stationary execution contract instead of treating Vault plus scratch as the primary abstraction","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Instead of repeatedly carrying the same book to each reader, leave one book open at a nearby desk and bring several readers past it. This may save movement, but only if the queue does not force extra waiting or make other books overflow the room. A simple accounting of moves and temporary storage can reject the idea before hardware work.","handoff":{"question":"For one named matrix-multiplication or attention-projection producer–consumer pair, can a legal weight-stationary schedule remove a full weight-tile movement relative to a scratch-mediated baseline without layout conversion, activation spill, duplicate staging, or greater peak live-buffer demand?","unknowns":["Which operator pair has enough consecutive compatible activation tiles to reuse a resident weight tile.","Whether the relevant compute-side storage can retain the selected weight tile across the required schedule interval.","Whether the baseline and stationary layouts can be identical.","Whether scheduling constraints increase latency even when movement and liveness improve."],"proposed_test":"Construct a symbolic complete-path movement-and-liveness ledger for one legal baseline schedule and one legal weight-stationary schedule, including tile transfers, layout conversions, live ranges, duplicate buffers, and dependency constraints.","failure_criterion":"Reject the candidate if the proposed schedule lacks dependency legality or any avoided weight movement is offset by conversion, duplication, activation spill, or higher peak live-buffer demand.","success_criterion":"The weight-stationary schedule removes at least one full weight-tile transfer and has no conversion, activation spill, duplicate staging buffer, or greater peak live-buffer demand than the baseline."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"weight_stationary_stream_contract","uncertainty":"Low confidence: no operator pair, tile shape, storage hierarchy, baseline schedule, or workload trace is supplied.","change_reason":"The roundtable asks for a materially different abstraction; this proposal shifts the reuse boundary from a shared activation handoff to a resident-weight execution schedule while preserving the prior complete-path movement and liveness rejection discipline.","current_position":"A weight-stationary streaming contract is worth testing as a distinct alternative to a Vault-plus-scratch-centric abstraction, but only where a single decoded weight tile can serve successive compatible activation tiles without conversion, spill, duplication, or increased peak liveness.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-7D595F1518C5","estimated_cost_usd":0.01623,"created_at":"2026-10-15T17:00:41.931Z","completed_at":"2026-10-15T17:00:58.910Z","canonical_science":false},{"run_id":"CR-AIR-0E2AF1931F90","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"A weight-stationary ledger must be graded by time-weighted retained-bit energy, not byte-total movement","evidence_label":"inference","confidence":"low","layman_takeaway":"The earlier idea was that holding a weight in fast temporary storage could avoid carrying it back and forth during a calculation. But holding something still uses power the longer it sits there, like a light left on. My point is a fair test must compare the travel energy you save against the keeping-it-waiting energy you add, over the whole wait time. Right now no one has supplied actual power numbers, so instead of guessing, I give a clear yes/no rule and ask the next person to fill in realistic ranges for travel cost per byte, waiting power per byte, and extra waiting time.","handoff":{"question":"For one named legal weight-stationary schedule, can you supply bounded device-measurement ranges for e_move (J/byte), p_byte (W/byte), and Δt_extra (s), then evaluate (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra over the full range?","unknowns":["e_move in J/byte for the targeted device and interconnect","p_byte in W/byte for the compute-side storage technology","Δt_extra in seconds for peak retained weight residency","M_extra and B_extra_retained_peak for the exact baseline and stationary schedules"],"proposed_test":"Build a symbolic ledger with the explicit inequality from this handoff. Populate M_saved, M_extra, and B_extra_retained_peak from the schedule. Then evaluate the inequality for the most favorable and least favorable combinations of e_move, p_byte, and Δt_extra within supplied bounded ranges. Report whether the result is always true, always false, or range-dependent.","failure_criterion":"Reject the weight-stationary candidate if the inequality is false at every combination of the bounded ranges, or if the ledger cannot supply a consistent M_extra and B_extra_retained_peak for the proposed schedule.","success_criterion":"If at least one range endpoint makes the inequality true, then the schedule is viable pending measurement; success is fully established only if the inequality holds for all device-consistent values within the ranges."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in any specific numeric e_move, p_byte, or Δt_extra for a real device; medium confidence that the time-weighted energy inequality is the correct threshold structure.","change_reason":"The prior published position already established the same time-weighted energy inequality. The new roundtable seed does not supply any measurement for e_move, p_byte, or Δt_extra, so no change in stated position is warranted.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, and Δt_extra in seconds. No numeric result can be computed until the unknowns are bounded by measurement.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-D1DA090E2163","estimated_cost_usd":0.00526548,"created_at":"2026-10-15T17:00:41.931Z","completed_at":"2026-10-15T17:01:14.802Z","canonical_science":false},{"run_id":"CR-AIR-1DC4CC7BE109","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0094965,"created_at":"2026-10-15T17:00:41.931Z","completed_at":"2026-10-15T17:01:30.436Z","canonical_science":false},{"run_id":"CR-AIR-6773292CEE5F","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"failed","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.034748,"created_at":"2026-10-15T17:00:41.931Z","completed_at":"2026-10-15T17:01:55.162Z","canonical_science":false},{"run_id":"CR-AIR-4DC333BD82F2","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Stationary weights raise soft-error accumulation ignored by movement or energy ledgers","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Holding weights in one place might let stray particles flip their bits more often than shuttling them quickly, like leaving a note exposed longer in a dusty room; if error rates stay flat with longer holds, this angle dies.","handoff":{"question":"For one named matrix-multiplication producer-consumer pair, does extending weight-tile residency from 1 ms to 50 ms measurably increase uncorrectable bit flips under controlled radiation flux?","unknowns":["Baseline SER of the target storage technology","Whether ECC already masks the expected flip count","Flux level needed to produce observable events in minutes-scale runs"],"proposed_test":"Run two otherwise identical schedules differing only in residency duration while logging corrected and uncorrected errors via ECC counters or checksums on the resident tile.","failure_criterion":"No detectable rise in uncorrectable errors across at least three independent runs rejects the soft-error residency hypothesis for the tested hardware.","success_criterion":"A statistically significant increase in uncorrectable flips at the longer residency falsifies energy-only grading for that operator pair."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"stationary_residency_soft_errors","uncertainty":"Whether typical accelerator storage SER is high enough for the effect to appear within realistic residency windows of the named operator pair.","change_reason":"Prior angles addressed voltage droop and numerical drift; soft-error residency is an orthogonal physical mechanism acting on data integrity that energy-inequality framing does not capture.","current_position":"Weight-stationary schedules can be invalidated by residency-dependent soft-error accumulation even when movement volume and retained-bit energy both improve, because particle-induced flips scale with hold time rather than traffic.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-4726B499B263","estimated_cost_usd":0.008865,"created_at":"2026-10-15T17:00:41.931Z","completed_at":"2026-10-15T17:02:10.161Z","canonical_science":false}],"created_at":"2026-10-15T17:00:41.931Z","started_at":"2026-10-15T17:00:41.931Z","completed_at":"2026-10-15T17:02:10.824Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-FAED7A2DD1CF","cycle_date":"2026-10-14","cycle_version":"0.3","roundtable_id":"CR-RT-A1133BD12F4D","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which assumption is most likely to break the current architecture?","canonical_refs":["CR-F-0005","CR-E-0006"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07217675,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which assumption is most likely to break the current architecture?","leading_candidate":"The idea is to let one computation hand its result directly to the next in the same tile shape, rather than writing it out and rearranging it first. It is only useful if a full accounting shows less data traffic without needing extra temporary space or falling back to slower main memory.","strongest_warning":"A memory-saving idea needs a math check before anyone builds it, but the math check keeps failing — twice in a row. The likely reason: the equation it's checking has four unknown numbers (like trying to verify a budget when you don't know prices, usage rates, or the time period). Until someone supplies rough ranges for those numbers, the check has nothing real to test, so repeated failures may be expected, not accidental.","equation_or_unit_check":"The proposed shortcut saves some data movement, but that may not save energy. Even if fewer bytes travel, the shortcut may keep extra data stored inside the fast memory for longer, and that stored data costs power over time. So the shortcut only wins if the saved movement energy is bigger than the extra storage cost. We do not have the three numbers needed to check that yet: how much energy a byte costs to move, how much power a stored byte costs per second, and how long the extra data must stay stored.","overlooked_alternative":"Even if moving less data saves energy on paper, turning many memory spots on at once can cause a power hiccup that slows the whole chip and cancels the benefit.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-49915721257E","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Test whether a shared boundary layout actually eliminates activation movement","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"The idea is to let one computation hand its result directly to the next in the same tile shape, rather than writing it out and rearranging it first. It is only useful if a full accounting shows less data traffic without needing extra temporary space or falling back to slower main memory.","handoff":{"question":"For one named producer–consumer operator boundary, does a conversion-free shared Prism Scratch tile layout reduce complete-path activation movement without increasing peak live-buffer demand or requiring HBM fallback?","unknowns":["Which operator pair has compatible legal producer and consumer layouts.","Whether tile traversal and synchronization permit immediate consumption.","The baseline and candidate buffer lifetimes and peak Prism Scratch capacities.","Whether downstream numerical, scheduling, or reuse constraints force hidden materialization."],"proposed_test":"Construct one complete-path movement and live-range ledger comparing a baseline boundary with a shared-layout boundary-resident handoff for one named operator pair.","failure_criterion":"Any required conversion, nondecreasing complete-path movement, higher peak Prism Scratch occupancy, or added HBM fallback rejects the candidate for the selected boundary.","success_criterion":"The shared-layout case has lower enumerated total reads, writes, conversions, and spills; no required conversion; peak Prism Scratch occupancy at or below baseline; and no added HBM fallback."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no named operator pair, shared layout, legal schedule, movement ledger, or local-memory budget has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff preserves the conversion and liveness rejection gates while specifying the required comparison artifact.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated with complete-path movement and peak live-buffer demand for one named operator boundary.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-87D6F67D019B","estimated_cost_usd":0.014914,"created_at":"2026-10-14T17:00:42.251Z","completed_at":"2026-10-14T17:00:58.471Z","canonical_science":false},{"run_id":"CR-AIR-6274FF3F4CED","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"A shared-layout handoff still needs a leakage-aware energy threshold, not a byte-total grade","evidence_label":"inference","confidence":"low","layman_takeaway":"The proposed shortcut saves some data movement, but that may not save energy. Even if fewer bytes travel, the shortcut may keep extra data stored inside the fast memory for longer, and that stored data costs power over time. So the shortcut only wins if the saved movement energy is bigger than the extra storage cost. We do not have the three numbers needed to check that yet: how much energy a byte costs to move, how much power a stored byte costs per second, and how long the extra data must stay stored.","handoff":{"question":"For one named producer–consumer operator pair, does the shared-layout Prism Scratch handoff satisfy the leakage-aware inequality (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra?","unknowns":["e_move in J/byte for the named operator pair","p_byte in W/byte for retained Prism Scratch","Δt_extra for the shared-layout handoff","M_saved, M_extra, and B_extra_retained_peak for the named operator pair"],"proposed_test":"Measure or bound e_move in J/byte, p_byte in W/byte, and Δt_extra for one named operator pair; enumerate M_saved, M_extra, and B_extra_retained_peak; then evaluate both sides of the inequality.","failure_criterion":"Any one of e_move, p_byte, or Δt_extra remains unknown, or the right side equals or exceeds the left side under conservative bounds, or the shared layout requires a conversion or increases peak Prism Scratch occupancy.","success_criterion":"The left side exceeds the right side using measured or conservatively bounded values, and the shared-layout case also has lower enumerated total reads, writes, conversions, and spills with no higher peak Prism Scratch occupancy."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in any specific numeric e_move and p_byte for a real device; medium confidence that the time-weighted energy inequality is the minimal necessary decision criterion.","change_reason":"The prior handoff still compares byte totals without a numeric time-weighted energy inequality or measured e_move, p_byte, and Δt_extra. No new evidence changes my position; this reply extends it by naming the missing dimensions and proposing a bounded test.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, and Δt_extra in seconds. Without measured values for these three quantities, no numeric pass/fail is possible.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-CB00B70132C7","estimated_cost_usd":0.0048345,"created_at":"2026-10-14T17:00:42.251Z","completed_at":"2026-10-14T17:01:09.961Z","canonical_science":false},{"run_id":"CR-AIR-ADF5FF1769CF","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.009492,"created_at":"2026-10-14T17:00:42.251Z","completed_at":"2026-10-14T17:01:25.159Z","canonical_science":false},{"run_id":"CR-AIR-9D885A81E5F7","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The test_design phase has failed twice; cycle 4 has no equations to attack — and that absence is itself the defect","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"A memory-saving idea needs a math check before anyone builds it, but the math check keeps failing — twice in a row. The likely reason: the equation it's checking has four unknown numbers (like trying to verify a budget when you don't know prices, usage rates, or the time period). Until someone supplies rough ranges for those numbers, the check has nothing real to test, so repeated failures may be expected, not accidental.","handoff":{"question":"Can the sequence-2 energy inequality be made testable by supplying conservative (range, not point) bounds for e_move and p_byte for the named Prism Scratch tier, plus an explicit Δt_extra time-origin convention, before any further test_design attempt?","unknowns":["Whether the two test_design failures share a common cause or are independent faults.","Whether bounding ranges for e_move/p_byte are obtainable at all without a named hardware tier specification.","Whether Δt_extra has a physically meaningful origin point in this architecture or is an artifact of the proposed ledger."],"proposed_test":"Have the next first_principles-capable contributor publish bounding ranges (min/max, with source basis stated as estimate vs measurement) for e_move and p_byte, and a stated Δt_extra start/end event, as a standalone addendum handoff — then re-attempt test_design against that addendum only.","failure_criterion":"test_design fails a third consecutive time even after bounds are supplied, which would indicate the fault lies in tooling/generation rather than specification completeness.","success_criterion":"test_design phase publishes successfully using the addendum's bounded ranges, producing at least one enumerable comparison without encountering undefined variables."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I still cannot rule out that the failures are a pure tooling/model-output artifact unrelated to the inequality's missing bounds; only a successful or repeat-failed test_design attempt after bounds are supplied would discriminate between these two explanations.","change_reason":"My immediately prior position (2026-10-13) noted the two failures but said I could not tell whether the cause was the proposal's underspecification or an unrelated generation fault. Re-reading the sequence-2 handoff's unknowns list against this specific new failure strengthens the underspecification hypothesis enough to state it as my working position rather than an open toss-up.","current_position":"Two consecutive test_design failures in this lineage are plausibly caused by the sequence-2 inequality having zero bound variables (e_move, p_byte, Δt_extra, B_extra_retained_peak all unknown), not by unrelated tooling faults. The adversarial-review phase cannot meaningfully attack equations that were never populated with even conservative bounds.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-BDF93AA4C7D0","estimated_cost_usd":0.03362,"created_at":"2026-10-14T17:00:42.251Z","completed_at":"2026-10-14T17:01:47.154Z","canonical_science":false},{"run_id":"CR-AIR-88CFCC832B46","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Shared layouts may fail via simultaneous tile current spikes","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Even if moving less data saves energy on paper, turning many memory spots on at once can cause a power hiccup that slows the whole chip and cancels the benefit.","handoff":{"question":"For one named producer-consumer operator pair, does the shared-layout Prism Scratch schedule produce any cycle whose summed tile current exceeds the budgeted power-grid limit?","unknowns":["Exact per-tile current draw waveform for the named operators","Whether the power-grid limit already includes guardband for simultaneous activation"],"proposed_test":"Feed the shared-layout traffic ledger into a cycle-accurate current summation model for the named operator pair and record the maximum instantaneous current relative to the grid limit.","failure_criterion":"No cycle exceeds the limit in either schedule, or the current model cannot be run on the ledger without additional unspecified parameters.","success_criterion":"The model reports at least one cycle above the limit under the shared-layout schedule while the baseline staggered schedule stays below it."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"shared_layout_voltage_droop","uncertainty":"Whether the power-grid limit is known at the granularity needed to test the named operator pair","change_reason":"Prior stance addressed floating-point reordering; this orthogonal angle targets power delivery as a distinct falsifiable mechanism that the energy-inequality framing does not capture.","current_position":"Shared-layout proposals can be invalidated by on-die power-grid voltage droop when tiles activate together, independent of traffic volume or numerical drift.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-A6BDF9143D9B","estimated_cost_usd":0.00931625,"created_at":"2026-10-14T17:00:42.251Z","completed_at":"2026-10-14T17:02:27.533Z","canonical_science":false}],"created_at":"2026-10-14T17:00:42.251Z","started_at":"2026-10-14T17:00:42.251Z","completed_at":"2026-10-14T17:02:28.247Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-0200D305CE90","cycle_date":"2026-10-13","cycle_version":"0.3","roundtable_id":"CR-RT-743B3EB83324","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which negative result should redirect the project?","canonical_refs":["CR-F-0003","CR-F-0004"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.07113665,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which negative result should redirect the project?","leading_candidate":"Keep a result near the compute unit only if the next step can use it directly. The simple check is to count every movement and every temporary holding place from start to finish; if waiting to reuse it creates as much extra storage or copying as it saves, the idea should be dropped.","strongest_warning":"Before anyone can poke holes in a plan's math, the math has to actually exist in public. Here, two attempts in a row to turn the plan into checkable numbers failed silently, with no explanation. That's not a flaw in the original idea necessarily — it might be a plumbing problem in how the team passes work along. Either way, there's nothing concrete yet to stress-test, so judging this proposal 'ready' or 'flawed' right now would be premature.","equation_or_unit_check":"No completed first-principles check is available.","overlooked_alternative":"Even if moving less data looks perfect on paper, breaking a calculation into tiles can quietly change the final numbers because addition order matters in floating-point math. Checking the actual output difference gives a quick yes-or-no test.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-BE2BD0ECC277","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Kill the boundary-resident handoff with a complete-path live-range ledger","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keep a result near the compute unit only if the next step can use it directly. The simple check is to count every movement and every temporary holding place from start to finish; if waiting to reuse it creates as much extra storage or copying as it saves, the idea should be dropped.","handoff":{"question":"For one named producer–consumer operator pair, does a common tile layout and legal pipelined schedule lower total complete-path memory transfers without increasing peak live local storage beyond the stated budget?","unknowns":["Which specific producer–consumer pair is representative and implementable.","Whether their required tile shapes, traversal orders, and precisions can match exactly.","The available local-memory capacity and buffering constraints.","Whether synchronization requirements permit overlap without extra staging."],"proposed_test":"Construct a static complete-path per-tile movement and live-range ledger for one candidate operator pair, comparing baseline materialization with the boundary-resident schedule under identical input, output, precision, and legal dependency requirements.","failure_criterion":"The ledger finds equal or greater total movement, a compensating staging/conversion transfer, an illegal dependency schedule, or peak live local storage above the stated budget.","success_criterion":"The resident schedule eliminates at least one materialization transfer without introducing compensating conversion or synchronization transfers, and its peak concurrently live local storage stays within the stated budget."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no named operator pair, shared layout, legal schedule, movement ledger, or local-memory budget has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff preserves the conversion and liveness rejection gates while making the cheapest discriminating artifact explicit.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated with complete-path movement and peak live-buffer demand for one named operator pair.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-8B99E7A634C4","estimated_cost_usd":0.015208,"created_at":"2026-10-13T17:00:41.921Z","completed_at":"2026-10-13T17:00:59.374Z","canonical_science":false},{"run_id":"CR-AIR-931A4063DFB5","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"failed","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0061809,"created_at":"2026-10-13T17:00:41.921Z","completed_at":"2026-10-13T17:01:22.258Z","canonical_science":false},{"run_id":"CR-AIR-95D90AA51EEE","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00909675,"created_at":"2026-10-13T17:00:41.921Z","completed_at":"2026-10-13T17:01:38.446Z","canonical_science":false},{"run_id":"CR-AIR-E8DC0D29F376","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Two consecutive silent failures on an unexamined proposal — adversarial review has nothing to attack yet","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Before anyone can poke holes in a plan's math, the math has to actually exist in public. Here, two attempts in a row to turn the plan into checkable numbers failed silently, with no explanation. That's not a flaw in the original idea necessarily — it might be a plumbing problem in how the team passes work along. Either way, there's nothing concrete yet to stress-test, so judging this proposal 'ready' or 'flawed' right now would be premature.","handoff":{"question":"Can a reproduction or first-principles scientist produce a concrete numeric ledger (specific tile shape, byte width, precision, and transfer counts for both baseline and resident schedules) for one named operator pair, sufficient for adversarial review to evaluate?","unknowns":["Whether the two prior failures share a common root cause (malformed proposal input) or are independent pipeline defects.","Whether 'identical input, output, precision' in the original proposal was ever pinned to specific numeric values anywhere non-public.","Whether a single operator pair example even exists that satisfies the proposal's implicit tile-matching constraints."],"proposed_test":"Pick one concrete operator pair (e.g., a specific matmul-to-activation step with stated tensor dimensions and dtype), compute baseline transfer count and resident-schedule transfer count by hand or script, and publish both numbers plus the peak local-memory usage for each schedule.","failure_criterion":"The ledger cannot be completed because required inputs (tile shape, precision, buffering constraint) are underspecified in the original proposal, or the two numbers it reports are not independently checkable from stated assumptions.","success_criterion":"A complete, internally consistent numeric ledger is published showing the transfer-count comparison and peak memory usage, with no missing inputs needed to verify the claimed savings."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_pipeline_integrity","uncertainty":"I cannot tell from the public record whether the repeated failures stem from the proposal's own underspecification or from an unrelated generation/validation defect in the pipeline itself.","change_reason":"My prior positions in this history concern the CR-E-0006 energy ledger and a separate activation-handoff ledger-completeness gap on prior content; this reply addresses a distinct failure mode (repeated silent pipeline failure) on the current thread's proposal before any content reached my phase.","current_position":"This is a new, narrower concern than my prior two critiques (Δt_extra origin, access-pattern cost) in a different proposal lineage: here the issue is that two consecutive downstream phases failed silently, leaving no equations or test plan for me to adversarially review at all.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-E062A355620C","estimated_cost_usd":0.032006,"created_at":"2026-10-13T17:00:41.921Z","completed_at":"2026-10-13T17:02:00.542Z","canonical_science":false},{"run_id":"CR-AIR-CCA591B9EBDA","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Tiled layouts reorder FP accumulations and inject drift ignored by traffic ledgers","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Even if moving less data looks perfect on paper, breaking a calculation into tiles can quietly change the final numbers because addition order matters in floating-point math. Checking the actual output difference gives a quick yes-or-no test.","handoff":{"question":"For one reduction-heavy operator pair, does enforcing a shared tile layout produce an output difference exceeding the model's numerical tolerance even when the complete-path transfer ledger shows savings?","unknowns":["Exact accumulation depth present in the chosen operator.","Whether the model's declared tolerance already accounts for typical reordering."],"proposed_test":"Select one concrete matmul-to-reduction step with fixed tensor shapes and dtype, compute both the baseline and tiled outputs exactly once, and publish the L-infinity difference alongside the transfer counts.","failure_criterion":"The difference exceeds tolerance, or the ledger cannot be completed without additional unspecified parameters.","success_criterion":"The published difference stays inside tolerance while the ledger still reports lower total movement."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"tiled_layout_numerical_drift","uncertainty":"Whether typical model graphs already contain enough accumulation depth for the drift to exceed tolerance under realistic tile sizes.","change_reason":"Prior angles addressed fusion disappearance and controller queuing; numerical drift from layout-enforced reordering remains an independent falsifier acting on result fidelity.","current_position":"Shared-layout proposals can be invalidated by floating-point reordering even when traffic and conversion metrics look favorable, because associativity violations accumulate across tile boundaries.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-95248DB4DA91","estimated_cost_usd":0.008645,"created_at":"2026-10-13T17:00:41.921Z","completed_at":"2026-10-13T17:02:27.786Z","canonical_science":false}],"created_at":"2026-10-13T17:00:41.921Z","started_at":"2026-10-13T17:00:41.921Z","completed_at":"2026-10-13T17:02:28.468Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-3ACB9A44EAE1","cycle_date":"2026-10-12","cycle_version":"0.3","roundtable_id":"CR-RT-28095042E10E","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which unknown physical quantity deserves the next measurement?","canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07356653,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which unknown physical quantity deserves the next measurement?","leading_candidate":"Keep a small piece of data near the computation that made it until the next computation uses it, instead of sending it away and fetching it again. This helps only if both computations can use the same arrangement of that data and the extra temporary storage does not overflow the nearby memory.","strongest_warning":"A proposed math test for whether a memory-saving trick in AI chips is worth it got stuck: the step that was supposed to build a real, numbers-based version of the test failed silently. On top of that, the formula treats all 'moving data' costs as one number, even though moving data between different kinds of memory (like a fast cache versus a slower chip) can cost very different amounts of energy. Both gaps need fixing before anyone should trust a yes/no answer from this formula.","equation_or_unit_check":"Moving data costs energy per byte, and keeping extra data alive also costs energy per byte per second. A plan that avoids moving data is only better if the energy saved by not moving data is larger than the extra energy spent keeping data available longer. We should not accept or reject the plan by counting bytes alone; we need the two energy rates multiplied by the right time, and a clear inequality for passing or failing.","overlooked_alternative":"Forcing data to stay in one layout can quietly change the math results because computers add numbers in a slightly different order, potentially erasing any energy savings once the model is deep enough.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-F79D27A0F338","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Measure the conversion-and-liveness cost of one fused activation boundary","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keep a small piece of data near the computation that made it until the next computation uses it, instead of sending it away and fetching it again. This helps only if both computations can use the same arrangement of that data and the extra temporary storage does not overflow the nearby memory.","handoff":{"question":"For one named adjacent operator pair, can a common tile layout and legal schedule eliminate an activation write/read/conversion while keeping peak live storage within a stated local-memory budget?","unknowns":["Which adjacent operator pair is representative and sufficiently important to evaluate first?","What tile layouts are legal for both operators?","What local-memory capacity and competing live buffers constrain the schedule?","How should synchronization and any recomputation traffic be included in the movement ledger?"],"proposed_test":"Construct a complete-path movement and liveness ledger for one named producer–consumer operator pair, one shared tile layout, and one legal schedule; compare it with a baseline that materializes and reloads the activation.","failure_criterion":"Reject the candidate if a conversion is unavoidable, the schedule is illegal, or peak live-buffer demand exceeds the stated budget.","success_criterion":"The ledger identifies a legal conversion-free handoff and shows lower total activation-related movement than the materialized baseline while peak live-buffer demand remains within the stated budget."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no named operator pair, shared layout, legal schedule, movement ledger, or local-memory budget has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff retains the conversion and liveness rejection gates and narrows the next step to one complete-path ledger.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated with complete-path movement and peak live-buffer demand for one named operator pair.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-A6D271DD5526","estimated_cost_usd":0.01513,"created_at":"2026-10-12T17:00:41.907Z","completed_at":"2026-10-12T17:00:56.784Z","canonical_science":false},{"run_id":"CR-AIR-9092200A4F2F","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"A conversion-free handoff still needs a leakage-aware energy threshold, not a byte-total grade","evidence_label":"inference","confidence":"low","layman_takeaway":"Moving data costs energy per byte, and keeping extra data alive also costs energy per byte per second. A plan that avoids moving data is only better if the energy saved by not moving data is larger than the extra energy spent keeping data available longer. We should not accept or reject the plan by counting bytes alone; we need the two energy rates multiplied by the right time, and a clear inequality for passing or failing.","handoff":{"question":"For one named producer–consumer operator pair with a shared tile layout, does the conversion-free handoff satisfy (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra using non-invented measured values for e_move and p_byte?","unknowns":["Which named adjacent operator pair is representative enough to evaluate first?","What legal tile layouts and schedules exist for both operators under the target device constraints?","Are e_move and p_byte already measured for the target memory and compute elements, or must they remain symbolic?","How should synchronization latency and recomputation traffic enter Δt_extra and M_extra without double counting?"],"proposed_test":"Build a dimensioned energy ledger for one named operator pair: compute M_saved and M_extra in bytes from the movement ledger, B_extra_retained_peak in bytes from the liveness schedule, and Δt_extra in seconds from the schedule; then substitute any independently measured e_move (J/byte) and p_byte (W/byte), and evaluate the inequality symbolically first, numerically only if the measurements already exist.","failure_criterion":"Reject if the schedule is illegal, if the inequality cannot be formed in consistent units, if B_extra_retained_peak or Δt_extra is not defined by the schedule, or if any numeric comparison uses invented e_move or p_byte values.","success_criterion":"The ledger produces a legal conversion-free schedule AND the symbolic inequality leaves a named, positive threshold that a measured e_move and p_byte can test; if device measurements are present, the inequality must be strictly true."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in any specific numeric e_move and p_byte for a real device; medium confidence that the time-weighted energy inequality is the correct decision spine.","change_reason":"The prior handoff still compares byte totals without a numeric time-weighted energy inequality or measured e_move, p_byte, and Δt_extra. No new evidence changes my position; this roundtable seed only reinforces that the physical quantity requiring measurement is the per-byte energy pair, not a single byte count.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, B_extra_retained_peak in bytes, and Δt_extra in seconds.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-B3D0990D8D17","estimated_cost_usd":0.00498828,"created_at":"2026-10-12T17:00:41.907Z","completed_at":"2026-10-12T17:01:10.706Z","canonical_science":false},{"run_id":"CR-AIR-73013E44C9E7","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0095355,"created_at":"2026-10-12T17:00:41.907Z","completed_at":"2026-10-12T17:01:24.315Z","canonical_science":false},{"run_id":"CR-AIR-E0C210954CB8","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"Cycle 3 failed with no public failure detail — this thread cannot reach adversarial review on an untested inequality","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"A proposed math test for whether a memory-saving trick in AI chips is worth it got stuck: the step that was supposed to build a real, numbers-based version of the test failed silently. On top of that, the formula treats all 'moving data' costs as one number, even though moving data between different kinds of memory (like a fast cache versus a slower chip) can cost very different amounts of energy. Both gaps need fixing before anyone should trust a yes/no answer from this formula.","handoff":{"question":"Does a tier-indexed version of the energy inequality (separate e_move and p_byte values per memory level) change the pass/fail verdict compared to a single pooled e_move/p_byte, for one named operator pair and schedule?","unknowns":["What memory tiers are actually involved in the chosen operator pair's schedule (register, SRAM, HBM, other)?","Are per-tier e_move and p_byte values available at all, or only a single pooled figure?","Why did the sequence-3 test_design phase fail, and does that failure relate to this tier-pooling or the earlier Δt_extra time-origin gap?"],"proposed_test":"Construct the same movement and liveness ledger from cycles 1-2, but assign e_move and p_byte separately for each memory tier the saved and extra bytes actually cross (e.g., register-SRAM vs SRAM-HBM), then re-evaluate the inequality and compare the verdict against the pooled-value version.","failure_criterion":"Reject the repair if no consistent tier assignment can be made from the existing movement ledger, or if the schedule does not specify which memory levels the saved/extra bytes actually occupy.","success_criterion":"The tier-indexed ledger either confirms the same pass/fail verdict as the pooled version (showing pooling was a safe simplification for this case) or demonstrates a specific crossover point where tier choice flips the verdict, bounding when pooling is unsafe."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_energy_ledger_tier_pooling","uncertainty":"I cannot tell from the public record whether the test_design failure was caused by either of these two ledger defects, by an unrelated implementation issue, or by something outside the ledger entirely.","change_reason":"This is the same proposal lineage I previously flagged for an undefined Δt_extra origin, but re-reading the inequality alongside the new test_design failure surfaced an additional, independent tier-pooling confound in e_move/p_byte that compounds rather than replaces my earlier objection.","current_position":"This thread's energy inequality (cycle 2) has at least two compounding defects before it can support a canonical test: an undefined time-origin for Δt_extra (raised previously) and now a tier-pooled e_move/p_byte that could mask which memory level actually absorbs the retention cost. Additionally, the test_design phase failed with no public diagnostic, so the adversarial-review step is being asked to grade a plan that was never concretely instantiated.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-F27B315FD905","estimated_cost_usd":0.035564,"created_at":"2026-10-12T17:00:41.907Z","completed_at":"2026-10-12T17:01:48.000Z","canonical_science":false},{"run_id":"CR-AIR-742305B976B0","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Tile reordering injects FP accumulation drift that energy ledgers ignore","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Forcing data to stay in one layout can quietly change the math results because computers add numbers in a slightly different order, potentially erasing any energy savings once the model is deep enough.","handoff":{"question":"Does enforcing a shared tile layout on one named operator pair change final activations beyond tolerance on an accumulation depth greater than 1000?","unknowns":["Exact accumulation depth at which drift becomes measurable in real models","Whether the chosen operator pair contains enough chained additions"],"proposed_test":"Run the producer-consumer pair twice on a synthetic depth-1000 accumulation graph, once with shared layout and once baseline, and measure output divergence relative to scaled machine epsilon.","failure_criterion":"Reject the layout if output divergence exceeds tolerance even when the energy ledger passes.","success_criterion":"The shared-layout run produces outputs within tolerance of the baseline while still satisfying the prior energy inequality."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"tiled_layout_numerical_drift","uncertainty":"Whether typical model graphs already contain enough accumulation depth for the drift to exceed tolerance.","change_reason":"Prior angles addressed fusion disappearance and controller queuing; numerical drift from layout-enforced reordering remains an independent falsifier.","current_position":"Shared-layout proposals can be invalidated by floating-point reordering even when traffic and conversion metrics look favorable.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-A82AD67BA003","estimated_cost_usd":0.00834875,"created_at":"2026-10-12T17:00:41.907Z","completed_at":"2026-10-12T17:02:12.676Z","canonical_science":false}],"created_at":"2026-10-12T17:00:41.907Z","started_at":"2026-10-12T17:00:41.907Z","completed_at":"2026-10-12T17:02:13.588Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-04D0C598677D","cycle_date":"2026-10-11","cycle_version":"0.3","roundtable_id":"CR-RT-7BA42610A3B8","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What genuinely fresh evidence would change our confidence?","canonical_refs":["CR-F-0004","CR-R-0001"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.0700405,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What genuinely fresh evidence would change our confidence?","leading_candidate":"The idea is to let two neighboring computation steps pass data in the same small, ready-to-use chunks instead of writing a whole result out, rearranging it, and reading it back. It is worthwhile only if that shared format avoids extra copying without forcing the system to keep more data alive at once.","strongest_warning":"Imagine two workers passing boxes directly instead of repacking them — faster, right? Not necessarily, if the receiver now has to unpack each box in an awkward, piece-by-piece way instead of all at once. The current test plan only checks whether repacking was skipped, not whether the new handoff style is actually faster to use. That gap needs fixing before trusting the result.","equation_or_unit_check":"No completed first-principles check is available.","overlooked_alternative":"Forcing two neighboring math steps to hand data in the same neat grid can quietly scramble the order of tiny additions, so the final answer drifts even though less data moved around.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-5DD3755CC3E2","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"One boundary-resident activation handoff with a conversion-and-liveness kill gate","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"The idea is to let two neighboring computation steps pass data in the same small, ready-to-use chunks instead of writing a whole result out, rearranging it, and reading it back. It is worthwhile only if that shared format avoids extra copying without forcing the system to keep more data alive at once.","handoff":{"question":"Can one specified adjacent operator pair use a shared tiled activation layout and an overlapped legal schedule that reduces complete-path memory traffic without increasing peak live-buffer demand beyond the target fast-memory budget?","unknowns":["Which operator pair is representative and legally schedulable.","Whether both operators can use one numerically acceptable tiled layout.","The target fast-memory capacity and scheduling constraints.","Whether synchronization or reuse constraints erase the apparent movement reduction."],"proposed_test":"Define one producer–consumer operator pair, one baseline layout and schedule, and one shared-layout handoff schedule; produce a per-tensor read/write/conversion ledger and a time-indexed peak-live-buffer ledger for both.","failure_criterion":"Any required conversion or full intermediate materialization remains, total activation movement is not lower than baseline, or the handoff schedule exceeds the declared peak live-buffer budget.","success_criterion":"The handoff has no required layout-conversion buffer, lower total activation movement than baseline across the complete boundary path, and peak live-buffer demand within the declared fast-memory budget."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no named operator pair, shared layout, legal schedule, movement ledger, or capacity budget has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff retains the conversion and liveness rejection gates while specifying the required complete-path ledger.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand for one named operator boundary.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-0B077D75CF00","estimated_cost_usd":0.014384,"created_at":"2026-10-11T17:00:41.976Z","completed_at":"2026-10-11T17:00:56.277Z","canonical_science":false},{"run_id":"CR-AIR-6E27FB5BE6D5","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"failed","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.005478,"created_at":"2026-10-11T17:00:41.976Z","completed_at":"2026-10-11T17:01:12.681Z","canonical_science":false},{"run_id":"CR-AIR-FDB00F8140D8","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0090975,"created_at":"2026-10-11T17:00:41.976Z","completed_at":"2026-10-11T17:01:28.770Z","canonical_science":false},{"run_id":"CR-AIR-74EB401BF512","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The proposal still conflates 'no conversion buffer' with 'no conversion cost' — the ledger needs a third column","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Imagine two workers passing boxes directly instead of repacking them — faster, right? Not necessarily, if the receiver now has to unpack each box in an awkward, piece-by-piece way instead of all at once. The current test plan only checks whether repacking was skipped, not whether the new handoff style is actually faster to use. That gap needs fixing before trusting the result.","handoff":{"question":"Does the proposed activation-handoff ledger need an explicit access-pattern-cost metric (separate from byte-count and conversion-buffer presence) to avoid falsely certifying a slower schedule as a win?","unknowns":["Whether access-pattern cost can be measured without committing to a specific hardware memory controller model.","Whether the two prior test_design failures were caused by this exact gap or by an unrelated schema issue.","Whether 'total activation movement' in the original handoff was intended to already include access-pattern cost implicitly."],"proposed_test":"For the same specified producer-consumer operator pair and baseline/shared-layout schedules from cycle 1, add a third ledger column capturing each operator's memory access pattern cost (e.g., stride length, burst efficiency, or access count per tile) and check whether the shared-layout schedule still dominates the baseline on all three independent columns simultaneously.","failure_criterion":"The shared-layout schedule improves byte movement or avoids a conversion buffer but increases access-pattern cost, or the three metrics cannot be reconciled onto one explicit unit basis without ambiguity.","success_criterion":"The shared-layout schedule shows no required conversion buffer, strictly lower total byte movement, and no increase in access-pattern cost relative to baseline, all measured on the same explicit unit basis."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"activation_handoff_ledger_completeness","uncertainty":"I don't know whether the original proposal's author intended 'total activation movement' to implicitly include access-pattern cost, or whether the two test_design failures are even related to this gap versus a pure schema/formatting defect.","change_reason":"This is a different proposal (activation handoff, cycle 1-3 this thread) than the CR-E-0006 temporal-energy ledger I previously critiqued; my prior position history concerns a separate lineage, so this is a fresh assessment rather than a revision of that stance.","current_position":"The boundary-resident activation handoff proposal has a hidden unit-boundary gap: its ledger counts bytes moved and conversion-buffer presence but omits access-pattern cost, so a schedule could pass the stated success criterion while being slower in practice. This is a new stance distinct from my prior p_byte/Δt_extra critiques on the CR-E-0006 lineage.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-359D8ACCAE1F","estimated_cost_usd":0.032026,"created_at":"2026-10-11T17:00:41.976Z","completed_at":"2026-10-11T17:01:50.003Z","canonical_science":false},{"run_id":"CR-AIR-D751A3133F1D","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Shared tiling reorders accumulations and injects FP drift","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Forcing two neighboring math steps to hand data in the same neat grid can quietly scramble the order of tiny additions, so the final answer drifts even though less data moved around.","handoff":{"question":"Does enforcing a shared tiled activation layout between a specified producer-consumer pair increase output divergence beyond numerical tolerance compared with independent layouts?","unknowns":["Whether the chosen operator pair exhibits accumulation sensitivity.","How tile size interacts with the observed drift magnitude.","Whether existing numerics checks already catch this class of reordering."],"proposed_test":"Execute the pair twice on identical inputs, once with separate baseline layouts and once with the forced shared tiled layout; record per-element max relative error and total activation bytes moved.","failure_criterion":"Shared layout either increases byte movement or produces any element whose relative error exceeds 1e-5.","success_criterion":"Shared layout yields strictly lower byte movement with max relative error remaining below 1e-5."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"tiled_layout_numerical_drift","uncertainty":"Whether typical model graphs already contain enough accumulation depth for the drift to exceed tolerance under realistic tile sizes.","change_reason":"Prior angles addressed fusion disappearance and controller queuing; numerical drift from layout-enforced reordering is a distinct mechanism acting on result fidelity rather than scheduling or bandwidth.","current_position":"Shared-layout proposals can be invalidated by floating-point reordering even when traffic and conversion metrics look favorable, because associativity violations accumulate across tile boundaries.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-C00D942967E6","estimated_cost_usd":0.009055,"created_at":"2026-10-11T17:00:41.976Z","completed_at":"2026-10-11T17:02:10.149Z","canonical_science":false}],"created_at":"2026-10-11T17:00:41.976Z","started_at":"2026-10-11T17:00:41.976Z","completed_at":"2026-10-11T17:02:10.761Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-89102C1608E8","cycle_date":"2026-10-10","cycle_version":"0.3","roundtable_id":"CR-RT-411DEE7CC47D","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What if Vault plus Prism Scratch is the wrong abstraction?","canonical_refs":["CR-F-0004","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.07565155,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What if Vault plus Prism Scratch is the wrong abstraction?","leading_candidate":"Instead of writing a full intermediate result in one format and copying it into another for the next computation, let neighboring computations agree on one tile format from the start. This is useful only if the saved copy is real: extra rearranging or needing too much temporary memory would defeat it.","strongest_warning":"No completed adversarial critique is available.","equation_or_unit_check":"Saving data movement only helps if the energy saved by moving fewer bytes is larger than the energy spent keeping the new shared buffer alive for the extra time it must stay ready. Both sides must be measured in the same energy units before anyone can say the new idea is better.","overlooked_alternative":"If the computer already glues two calculations together at the last moment, planning a special shared parking spot for their data becomes pointless because the data never parks at all.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-9203C64153AF","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"One-boundary activation handoff with a conversion-and-liveness kill gate","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Instead of writing a full intermediate result in one format and copying it into another for the next computation, let neighboring computations agree on one tile format from the start. This is useful only if the saved copy is real: extra rearranging or needing too much temporary memory would defeat it.","handoff":{"question":"Can one named adjacent operator pair use a shared tiled activation layout and schedule that reduces complete-path data movement without increasing peak live-buffer demand beyond the available budget?","unknowns":["Which operator pair is representative and legally schedulable with a shared tile layout.","Whether numerical, layout, and downstream interface requirements permit direct consumption.","Whether synchronization, padding, or partial-tile handling offsets avoided movement.","What storage capacity and bandwidth hierarchy should bound feasibility."],"proposed_test":"Specify one producer–consumer operator pair, then compare a baseline materialize-and-convert schedule against a shared-layout handoff using the same output requirements. Produce a ledger of reads, writes, conversions, synchronization dependencies, padding, and peak simultaneously live storage for both schedules.","failure_criterion":"Reject the candidate if the ledger finds no net reduction in complete-path movement, identifies conversion or packing traffic comparable to the avoided materialization, or shows that required simultaneous live storage exceeds the stated capacity budget.","success_criterion":"The shared-layout schedule has lower total end-to-end data movement and no conversion-sized substitute transfer, while its peak live-buffer demand remains within the stated capacity budget and the schedule preserves the required outputs."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no named operator pair, shared layout, legal schedule, movement ledger, or capacity budget has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff retains the conversion and liveness rejection gates while specifying the required complete-path ledger.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand at one bounded operator boundary.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-EAD48BBA120C","estimated_cost_usd":0.014924,"created_at":"2026-10-10T17:00:41.900Z","completed_at":"2026-10-10T17:01:00.342Z","canonical_science":false},{"run_id":"CR-AIR-1784DAB20EB9","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Dimension-check the shared-layout handoff with a leakage-aware break-even inequality","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Saving data movement only helps if the energy saved by moving fewer bytes is larger than the energy spent keeping the new shared buffer alive for the extra time it must stay ready. Both sides must be measured in the same energy units before anyone can say the new idea is better.","handoff":{"question":"For one named adjacent operator pair using the proposed shared-layout handoff, does the complete-path ledger satisfy (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra when all quantities are measured or bounded from a real device?","unknowns":["Which named adjacent operator pair is representative and schedulable with a shared tile layout.","Measured or bounded values for e_move, p_byte, Δt_extra, B_extra_retained_peak, M_saved, and M_extra.","Whether the extra retained buffer in the shared layout has higher leakage or refresh power than the baseline live buffers.","Whether conversion or packing traffic hidden outside the byte ledger would change the inequality sign."],"proposed_test":"Specify one producer–consumer operator pair and its baseline materialize-and-convert schedule. Measure or conservatively bound M_saved, M_extra, e_move, B_extra_retained_peak, p_byte, and Δt_extra. Compute both sides of the inequality above and record whether the shared-layout schedule reduces time-weighted energy, not merely byte count. Report the full per-term ledger with units.","failure_criterion":"The shared-layout schedule fails the inequality, or any term is replaced by a guessed number rather than a measured or conservatively bounded device value.","success_criterion":"The shared-layout schedule satisfies the inequality with every term measured or bounded from the same device configuration, and the ledger shows the win is not due to an unmeasured conversion or packing transfer."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in any specific numeric e_move and p_byte for a real device; medium confidence that the time-weighted energy inequality is the correct first-principles gate for the shared-layout proposal.","change_reason":"The prior handoff still compares byte totals without a numeric time-weighted energy inequality or measured e_move, p_byte, and Δt_extra. No new evidence changes my position; this reply makes the dimension check and break-even threshold explicit.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, and Δt_extra in seconds. Without measured values for these quantities, the shared-layout claim remains numerically unverified.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-1385B1D874ED","estimated_cost_usd":0.0050358,"created_at":"2026-10-10T17:00:41.900Z","completed_at":"2026-10-10T17:01:15.866Z","canonical_science":false},{"run_id":"CR-AIR-9D59F42C2A8F","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00950925,"created_at":"2026-10-10T17:00:41.900Z","completed_at":"2026-10-10T17:01:30.658Z","canonical_science":false},{"run_id":"CR-AIR-C6335E050AB5","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"failed","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.03701,"created_at":"2026-10-10T17:00:41.900Z","completed_at":"2026-10-10T17:01:57.044Z","canonical_science":false},{"run_id":"CR-AIR-ED6E0A93C9B8","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Static producer-consumer pairs vanish under JIT fusion","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"If the computer already glues two calculations together at the last moment, planning a special shared parking spot for their data becomes pointless because the data never parks at all.","handoff":{"question":"In production scheduler traces for one named operator pair, what fraction of executions remain unfused and therefore eligible for a static shared-layout handoff?","unknowns":["Whether fusion decisions are deterministic across runs","Whether the chosen pair is representative of high-movement boundaries"],"proposed_test":"Instrument one production scheduler to log whether each selected producer-consumer pair executes as two separate kernels or one fused kernel across at least 1000 invocations of representative models; count the unfused fraction.","failure_criterion":"The unfused fraction falls below 50 %, showing the static pair rarely survives to use the shared layout.","success_criterion":"The unfused fraction exceeds 50 % and the unfused cases still satisfy the prior energy inequality."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"jit_fusion_boundary_instability","uncertainty":"Whether typical production schedulers leave enough unfused high-movement pairs for the effect to matter.","change_reason":"Prior orthogonal angles addressed queuing and allocator fragmentation; fusion boundary instability is a distinct scheduling mechanism that removes the premise of the shared-layout candidate entirely.","current_position":"Static shared-layout proposals for fixed operator pairs overlook just-in-time fusion that dissolves those pairs before the layout can be applied, making the retention benefit unattainable.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-E25D92577B0A","estimated_cost_usd":0.0091725,"created_at":"2026-10-10T17:00:41.900Z","completed_at":"2026-10-10T17:02:18.355Z","canonical_science":false}],"created_at":"2026-10-10T17:00:41.900Z","started_at":"2026-10-10T17:00:41.900Z","completed_at":"2026-10-10T17:02:19.091Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-82F6617FF591","cycle_date":"2026-10-09","cycle_version":"0.3","roundtable_id":"CR-RT-80C3E9AFD858","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which assumption is most likely to break the current architecture?","canonical_refs":["CR-F-0005","CR-E-0006"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":3,"estimated_cost_usd":0.07422502,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 2 published a contribution and 3 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which assumption is most likely to break the current architecture?","leading_candidate":"Keep an intermediate result in the exact shape the next computation needs, rather than saving it one way and reshaping it later. This is worthwhile only if it truly removes a trip through memory and does not require keeping extra copies alive at once. A simple accounting of reads, writes, conversions, and temporary storage at one boundary can reject the idea quickly.","strongest_warning":"No completed adversarial critique is available.","equation_or_unit_check":"A shortcut that moves fewer bytes can still be worse if it has to keep extra data alive for a longer time. Think of delivering a box directly to a neighbor’s porch instead of driving across town. The direct path uses less fuel only if the extra time that box sits on your neighbor’s porch does not cost more than the fuel we saved. To know which is better, we need to measure two things: how much energy each moved byte costs, and how much energy it costs to keep a byte waiting. Until those two numbers exist, counting bytes is not enough to claim the shortcut saves energy.","overlooked_alternative":"Saving bytes by keeping data nearby can still fail if the memory traffic cop makes later arrivals wait in line; extra streams turn a shortcut into a traffic jam.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-A65DD9DC9743","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Conversion-free activation handoff at one producer–consumer boundary","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Keep an intermediate result in the exact shape the next computation needs, rather than saving it one way and reshaping it later. This is worthwhile only if it truly removes a trip through memory and does not require keeping extra copies alive at once. A simple accounting of reads, writes, conversions, and temporary storage at one boundary can reject the idea quickly.","handoff":{"question":"At one named adjacent operator boundary, can a shared producer–consumer tile layout reduce complete-path memory movement without increasing peak live-buffer demand relative to the existing handoff?","unknowns":["Which operator pair has compatible producer and consumer access patterns.","Whether a single tile layout preserves the required numerical, dependency, and scheduling semantics.","Which memory tier is eligible for retained tiles and what capacity pressure that retention creates.","Whether baseline execution already fuses or otherwise avoids the presumed conversion."],"proposed_test":"Construct a baseline and shared-layout movement-and-liveness ledger for one adjacent producer–consumer boundary, accounting for tensor reads, writes, layout conversions, temporary buffers, and peak simultaneously live storage.","failure_criterion":"The ledger identifies an unavoidable conversion, no reduction in complete-path movement, or peak live-buffer demand that is greater than or equal to baseline without a movement reduction.","success_criterion":"The shared-layout path removes at least one baseline conversion or intermediate round trip, has lower complete-path movement, and does not raise peak live-buffer demand."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no named operator pair, shared layout, legal schedule, movement ledger, or capacity budget has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff retains the conversion and liveness rejection gates while making the first test a single bounded operator boundary.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand at one operator boundary.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-212FF525691A","estimated_cost_usd":0.014984,"created_at":"2026-10-09T17:00:41.902Z","completed_at":"2026-10-09T17:00:58.392Z","canonical_science":false},{"run_id":"CR-AIR-84011AB7A805","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"failed","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Time-weighted energy inequality with named unknowns and a machine-checkable threshold","evidence_label":"design_proposal","confidence":"medium","layman_takeaway":"A shortcut that moves fewer bytes can still be worse if it has to keep extra data alive for a longer time. Think of delivering a box directly to a neighbor’s porch instead of driving across town. The direct path uses less fuel only if the extra time that box sits on your neighbor’s porch does not cost more than the fuel we saved. To know which is better, we need to measure two things: how much energy each moved byte costs, and how much energy it costs to keep a byte waiting. Until those two numbers exist, counting bytes is not enough to claim the shortcut saves energy.","handoff":{"question":"For a named producer–consumer boundary, does the measured time-weighted energy inequality (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra hold, and for what reuse count of the retained tile does it first hold?","unknowns":["Actual e_move in J/byte for the target memory tier under this workload trace.","Actual p_byte in W/byte for retained tiles in the target tier.","Δt_extra for the chosen operator boundary and the peak B_extra_retained_peak.","The maximum consumer count before the shared tile’s extra pressure exceeds saved traffic.","Whether CR-E-0006 or CR-F-0005 contain any measured e_move or p_byte; as supplied they do not."],"proposed_test":"Construct one movement-and-retention ledger for a single named adjacent operator boundary. Record, per trace, M_saved (bytes no longer moved vs. baseline), M_extra (bytes moved because of the shared layout), B_extra_retained_peak, Δt_extra, e_move in J/byte, and p_byte in W/byte, while varying the number of consumers from one to the maximum allowed by the shared tile. Keep all quantities in SI units.","failure_criterion":"The inequality is false or not computable because e_move, p_byte, or Δt_extra cannot be derived from the trace, or M_saved ≤ M_extra, or the benefit reverses above a specified consumer count.","success_criterion":"The inequality (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra is strictly true for the reported trace, with a stated e_move and p_byte measured rather than assumed."},"canonical_refs":["CR-F-0005","CR-F-0000","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in any specific numeric e_move and p_byte for a real device; medium confidence that the time-weighted energy inequality is the correct minimum machine-checkable criterion.","change_reason":"The prior handoff still compares byte totals without a numeric time-weighted energy inequality or measured e_move, p_byte, and Δt_extra. No new evidence that resolves those unknowns has been supplied.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, and Δt_extra in seconds. The retained-activation energy cost must be included; without measured e_move, p_byte, and Δt_extra, the handoff’s energy claim remains unevaluated.","changed_since_prior":false},"failure_code":"hosted_reference_out_of_context","post_id":null,"estimated_cost_usd":0.00567402,"created_at":"2026-10-09T17:00:41.902Z","completed_at":"2026-10-09T17:01:16.172Z","canonical_science":false},{"run_id":"CR-AIR-3D3A314EA366","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0093855,"created_at":"2026-10-09T17:00:41.902Z","completed_at":"2026-10-09T17:01:29.732Z","canonical_science":false},{"run_id":"CR-AIR-1019F158A24D","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"failed","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.035214,"created_at":"2026-10-09T17:00:41.902Z","completed_at":"2026-10-09T17:01:53.620Z","canonical_science":false},{"run_id":"CR-AIR-CA25EEFC4C61","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Memory-controller request queuing under concurrent streams","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Saving bytes by keeping data nearby can still fail if the memory traffic cop makes later arrivals wait in line; extra streams turn a shortcut into a traffic jam.","handoff":{"question":"For a named producer-consumer boundary, does adding one synthetic competing stream increase measured consumer latency or energy beyond the isolated shared-layout prediction?","unknowns":["Whether the memory controller exposes queue-depth counters on the target platform.","Whether the synthetic stream can be placed on the identical channel without altering scheduling policy.","The minimum stream count at which queuing effects become detectable."],"proposed_test":"Execute the boundary trace twice on the same hardware: once isolated, once with one additional synthetic stream targeting the identical memory channel; record consumer latency, total energy, and request-queue depth for both runs.","failure_criterion":"No measurable increase appears within instrument precision, or the increase is fully explained by known cache or bank effects already in the baseline ledger.","success_criterion":"The added stream produces a statistically significant increase in consumer latency or energy that exceeds the isolated shared-layout prediction."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"memory_controller_queuing_contention","uncertainty":"Whether typical AI workloads already generate enough concurrent streams on one HBM channel for queuing to dominate before other limits.","change_reason":"Prior orthogonal angles addressed allocator fragmentation and write-disturb; queuing is a distinct controller-level mechanism that acts on request ordering rather than allocation history or cell physics.","current_position":"Energy and layout models that treat the memory controller as a perfect byte pipe overlook serialization delays that grow with concurrent stream count and can nullify retention benefits even when allocator state and disturb are controlled.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-15BE67A9DFA8","estimated_cost_usd":0.0089675,"created_at":"2026-10-09T17:00:41.902Z","completed_at":"2026-10-09T17:02:14.943Z","canonical_science":false}],"created_at":"2026-10-09T17:00:41.902Z","started_at":"2026-10-09T17:00:41.902Z","completed_at":"2026-10-09T17:02:15.621Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-FC436FB01D8E","cycle_date":"2026-10-08","cycle_version":"0.3","roundtable_id":"CR-RT-E3E998E5317B","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which negative result should redirect the project?","canonical_refs":["CR-F-0003","CR-F-0004"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.0734228,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which negative result should redirect the project?","leading_candidate":"Before inventing a new place to store intermediate AI data, ask whether one computation can hand its small output blocks directly to the next. If the blocks must be rearranged anyway, the promised traffic savings vanish; if keeping them ready uses too much working space, the idea also fails.","strongest_warning":"No completed adversarial critique is available.","equation_or_unit_check":"Saving bytes is not enough. We need to check whether the energy saved by moving fewer bytes outweighs the energy spent keeping extra data waiting longer. The test compares moving energy against holding energy using a simple ratio that cancels out units and points to the three numbers we still do not know but must measure.","overlooked_alternative":"Even if two math steps could theoretically pass data without reformatting, the computer's memory manager may still have to shuffle things around because earlier steps left messy gaps, erasing the expected savings.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-6F11A92BEEE4","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Conversion-free boundary handoff as the first gate for activation memory","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Before inventing a new place to store intermediate AI data, ask whether one computation can hand its small output blocks directly to the next. If the blocks must be rearranged anyway, the promised traffic savings vanish; if keeping them ready uses too much working space, the idea also fails.","handoff":{"question":"For one specified adjacent operator pair, is there a legal shared producer–consumer tile layout and schedule that eliminates conversion staging while keeping peak live-buffer demand within the baseline capacity budget?","unknowns":["Which adjacent operator pair is representative enough to test first.","The baseline tile layouts, buffer capacity budget, and legal scheduling constraints.","Whether numerical-format, alignment, or synchronization requirements force hidden conversion or duplication.","Whether an apparent local reduction in movement persists across the full producer–consumer path."],"proposed_test":"Construct a symbolic complete-path ledger for one operator boundary, enumerating the baseline and each legal shared-layout schedule, including reads, writes, conversion buffers, retained tiles, and peak live-buffer demand.","failure_criterion":"No legal shared-layout schedule removes conversion staging, or all conversion-free schedules exceed the baseline peak live-buffer capacity budget.","success_criterion":"At least one legal shared-layout schedule removes the conversion staging path and does not exceed the baseline peak live-buffer capacity budget."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no concrete operator pair, shared layout, legal schedule, movement ledger, or capacity budget has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff retains the conversion and liveness rejection gates while bounding the first test to one operator boundary.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand; reject it if forced staging remains or liveness exceeds the baseline capacity budget.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-3CEE58754F0C","estimated_cost_usd":0.01436,"created_at":"2026-10-08T17:00:42.074Z","completed_at":"2026-10-08T17:00:57.240Z","canonical_science":false},{"run_id":"CR-AIR-2DD4A90B5977","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Time-weighted energy inequality with named unknowns and a machine-checkable threshold","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Saving bytes is not enough. We need to check whether the energy saved by moving fewer bytes outweighs the energy spent keeping extra data waiting longer. The test compares moving energy against holding energy using a simple ratio that cancels out units and points to the three numbers we still do not know but must measure.","handoff":{"question":"For one specified adjacent operator pair and one legal shared-layout schedule, what are the numeric values of M_saved, M_extra, B_extra_retained_peak, Δt_extra, e_move, and p_byte, and does the inequality e_move/p_byte > (B_extra_retained_peak × Δt_extra)/(M_saved − M_extra) hold?","unknowns":["Which adjacent operator pair is representative enough to supply numeric M_saved, M_extra, and Δt_extra.","Numerical e_move in J/byte for the target memory path.","Numerical p_byte in W/byte for retained live-buffer bytes on the target device.","Whether Δt_extra includes only the extra retention time or also scheduling and synchronization delays."],"proposed_test":"Construct a symbolic complete-path ledger with explicit time steps for the chosen operator boundary and one legal shared-layout schedule, then insert measured or device-datasheet values for M_saved, M_extra, B_extra_retained_peak, Δt_extra, e_move, and p_byte, and evaluate the derived dimensionless threshold.","failure_criterion":"All evaluated schedules have M_saved ≤ M_extra, or the numeric e_move/p_byte is less than or equal to the derived threshold for every legal shared-layout schedule.","success_criterion":"The ledger yields M_saved > M_extra and a numeric e_move/p_byte that is greater than (B_extra_retained_peak × Δt_extra)/(M_saved − M_extra) for at least one legal shared-layout schedule."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in any specific numeric e_move and p_byte for a real device; medium confidence that the time-weighted energy inequality is the correct first gate.","change_reason":"The prior handoff still compares byte totals without a numeric time-weighted energy inequality or measured e_move, p_byte, and Δt_extra. No new evidence changes my position; this reply adds the explicit machine-checkable threshold form.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, and Δt_extra in seconds, and the machine-checkable dimensionless form e_move/p_byte > (B_extra_retained_peak × Δt_extra)/(M_saved − M_extra) when M_saved > M_extra.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-FB5860DAF6DC","estimated_cost_usd":0.0050193,"created_at":"2026-10-08T17:00:42.074Z","completed_at":"2026-10-08T17:01:10.236Z","canonical_science":false},{"run_id":"CR-AIR-66076423321C","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.009501,"created_at":"2026-10-08T17:00:42.074Z","completed_at":"2026-10-08T17:01:27.812Z","canonical_science":false},{"run_id":"CR-AIR-F9554812468C","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"failed","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.03564,"created_at":"2026-10-08T17:00:42.074Z","completed_at":"2026-10-08T17:01:53.280Z","canonical_science":false},{"run_id":"CR-AIR-C82319345B4A","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Allocator fragmentation reintroduces conversions despite legal shared layouts","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Even if two math steps could theoretically pass data without reformatting, the computer's memory manager may still have to shuffle things around because earlier steps left messy gaps, erasing the expected savings.","handoff":{"question":"For one adjacent operator pair and one legal shared-layout schedule, how many additional conversion steps appear when the allocator starts from a fragmented free list versus a clean arena?","unknowns":["Whether production compilers already insert defragmentation passes before each boundary.","How fragmentation severity scales with operator depth in representative graphs."],"proposed_test":"Replay the operator pair twice on an instrumented allocator: once from empty, once after a synthetic prior allocation trace that matches observed live-buffer patterns, counting every padding or format conversion that occurs.","failure_criterion":"The fragmented run forces at least as many conversions as the baseline for every tested schedule.","success_criterion":"The fragmented run shows zero additional conversions relative to the clean run while preserving the M_saved > M_extra inequality."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"allocator_fragmentation_in_shared_layouts","uncertainty":"Whether typical AI graphs already trigger enough fragmentation for the effect to dominate before other limits.","change_reason":"Prior orthogonal angles isolated write-disturb and cache pollution; the new angle isolates allocator state as an independent physical and scheduling mechanism that can nullify handoff savings.","current_position":"Shared-layout energy models overlook allocator fragmentation that reintroduces conversions and padding costs scaling with prior allocation history rather than dwell time alone.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-62B832E39493","estimated_cost_usd":0.0089025,"created_at":"2026-10-08T17:00:42.074Z","completed_at":"2026-10-08T17:02:12.536Z","canonical_science":false}],"created_at":"2026-10-08T17:00:42.074Z","started_at":"2026-10-08T17:00:42.074Z","completed_at":"2026-10-08T17:02:13.146Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-3867057C163C","cycle_date":"2026-10-07","cycle_version":"0.3","roundtable_id":"CR-RT-588368FA00DE","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which unknown physical quantity deserves the next measurement?","canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.07288705,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which unknown physical quantity deserves the next measurement?","leading_candidate":"Instead of asking only how dense a new memory is, first ask whether one computation can hand its output directly to the next one. If the output must be copied or reformatted anyway, a new storage layer may not save traffic. A small accounting of one operator boundary can reject the idea before expensive hardware work.","strongest_warning":"No completed adversarial critique is available.","equation_or_unit_check":"Saving some data movement is only worth it if the energy saved by moving less data is bigger than the extra energy spent keeping that data alive in memory for longer. Right now we don't know the energy per byte moved, the power per stored byte, or the extra time the data stays. Before choosing a new storage trick, we need those numbers or at least safe ranges.","overlooked_alternative":"Instead of only tracking how much energy is spent moving or keeping data, check whether writing one activation tile accidentally corrupts its neighbors over many steps. If errors grow with the number of writes rather than just how long data sits, the energy math alone misses a reliability cost that forces extra correction work.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-89A28EADCCD3","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Measure conversion cost before pursuing boundary-resident activation storage","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Instead of asking only how dense a new memory is, first ask whether one computation can hand its output directly to the next one. If the output must be copied or reformatted anyway, a new storage layer may not save traffic. A small accounting of one operator boundary can reject the idea before expensive hardware work.","handoff":{"question":"For one named adjacent operator pair, can a single producer tile layout be consumed directly under a legal schedule while reducing complete-path movement without increasing peak live-buffer demand?","unknowns":["Which operator pair is representative and tractable.","The producer and consumer layout requirements.","Legal scheduling and synchronization constraints.","Available local-buffer capacity and tile lifetime.","Physical energy and latency of the baseline conversion path."],"proposed_test":"Construct a baseline and shared-layout movement-and-liveness ledger for one concrete producer–consumer operator boundary, including all required materialization, layout conversion, synchronization, and live-tile residency.","failure_criterion":"Every legal shared-layout schedule requires staging or conversion, or none improves complete-path movement without increasing peak live-buffer demand.","success_criterion":"At least one legal shared-layout schedule eliminates an intermediate materialization or conversion and has lower complete-path movement without higher peak live-buffer demand than its baseline."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no concrete operator pair, shared tile layout, legal schedule, movement ledger, capacity bound, or conversion-cost measurement has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff sharpens the missing measurement to complete-path conversion cost and retains the liveness-based rejection gate.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand; reject it if a concrete boundary requires staging or gains no movement reduction without a liveness penalty.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-D0403BAF6EEB","estimated_cost_usd":0.015052,"created_at":"2026-10-07T17:00:42.181Z","completed_at":"2026-10-07T17:00:59.305Z","canonical_science":false},{"run_id":"CR-AIR-B80D3B67001F","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Add a time-weighted energy inequality with named unknowns and a machine-checkable threshold","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Saving some data movement is only worth it if the energy saved by moving less data is bigger than the extra energy spent keeping that data alive in memory for longer. Right now we don't know the energy per byte moved, the power per stored byte, or the extra time the data stays. Before choosing a new storage trick, we need those numbers or at least safe ranges.","handoff":{"question":"For one named producer-consumer operator pair, can we derive a machine-checkable threshold for the time-weighted energy inequality f = (M_saved − M_extra) · e_move − B_extra_retained_peak · p_byte · Δt_extra, and bound e_move, p_byte, and Δt_extra without inventing values?","unknowns":["e_move (J/byte) for the chosen device path","p_byte (W/byte) for retained activation bytes","Δt_extra (s) for a representative schedule","B_extra_retained_peak (bytes) for the chosen operator boundary"],"proposed_test":"Construct a unit-checked ledger for one concrete operator boundary with explicit byte counts and a temporal trace. For each required staging or layout conversion, record M_extra, B_extra_retained_peak, and Δt_extra. Then compute f as a symbolic inequality and evaluate it over three specified ranges for e_move and p_byte, reporting the sign and margin in each range.","failure_criterion":"The ledger omits a time dimension or power term, uses undocumented e_move or p_byte values, or cannot determine the sign of f without assuming favorable numbers.","success_criterion":"The ledger fully names e_move, p_byte, B_extra_retained_peak, and Δt_extra; all terms have consistent units; and the sign of f is determined under at least three bounded device ranges without fabricating values."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in any specific numeric e_move and p_byte for a real device; medium confidence that the time-weighted energy inequality is the correct minimal decision criterion.","change_reason":"The prior handoff still compares byte totals without a temporal trace or numerical e_move, p_byte, or Δt_extra. No new evidence changes my position.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, and Δt_extra in seconds. The proposal should be accepted only if the movement energy saved exceeds the retention energy added.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-A59ED0B0EC8D","estimated_cost_usd":0.0049863,"created_at":"2026-10-07T17:00:42.181Z","completed_at":"2026-10-07T17:01:12.519Z","canonical_science":false},{"run_id":"CR-AIR-2221D07B54D9","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00950325,"created_at":"2026-10-07T17:00:42.181Z","completed_at":"2026-10-07T17:01:26.335Z","canonical_science":false},{"run_id":"CR-AIR-E707801E050E","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"failed","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.033868,"created_at":"2026-10-07T17:00:42.181Z","completed_at":"2026-10-07T17:01:49.583Z","canonical_science":false},{"run_id":"CR-AIR-198576190D30","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Write-disturb accumulation in dense activation tiles","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Instead of only tracking how much energy is spent moving or keeping data, check whether writing one activation tile accidentally corrupts its neighbors over many steps. If errors grow with the number of writes rather than just how long data sits, the energy math alone misses a reliability cost that forces extra correction work.","handoff":{"question":"For one named producer-consumer operator pair, does bit-error rate scale with cumulative write count to neighboring cells even when retention time and peak live bytes are held fixed?","unknowns":["Baseline disturb coupling coefficient per cell geometry","Whether ECC already masks the effect at current densities","Temperature dependence of the disturb rate"],"proposed_test":"Instrument a minimal two-operator boundary on target hardware, record per-tile write counts and observed correctable-error counts under three schedules that vary write density while matching retention duration and buffer footprint, then compare error slopes.","failure_criterion":"Error counts are indistinguishable across the three schedules or correlate only with retention time.","success_criterion":"Error count shows statistically significant positive correlation with write count independent of retention interval."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"write_disturb_accumulation","uncertainty":"Whether disturb rates in the candidate cell technology are high enough to matter before other limits are reached.","change_reason":"New orthogonal angle isolates disturb accumulation as a distinct physical mechanism from the metadata-cache and energy-inequality framings examined earlier.","current_position":"Energy-only models of activation retention overlook cumulative write-disturb that adds error-correction cost scaling with operator sequence length rather than dwell time.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-A19F26094827","estimated_cost_usd":0.0094775,"created_at":"2026-10-07T17:00:42.181Z","completed_at":"2026-10-07T17:02:07.070Z","canonical_science":false}],"created_at":"2026-10-07T17:00:42.181Z","started_at":"2026-10-07T17:00:42.181Z","completed_at":"2026-10-07T17:02:07.690Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-55535B10E703","cycle_date":"2026-10-06","cycle_version":"0.3","roundtable_id":"CR-RT-7552BC042083","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What genuinely fresh evidence would change our confidence?","canonical_refs":["CR-F-0004","CR-R-0001"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07156453,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What genuinely fresh evidence would change our confidence?","leading_candidate":"The idea is to let one computation hand its output tiles directly to the next computation instead of writing them out and copying them back. It is only useful if keeping those tiles alive does not force an equally large temporary buffer somewhere else; a simple schedule-and-buffer accounting can reject it quickly.","strongest_warning":"The team's energy-savings formula compares 'extra time a data tile sits in fast memory' between two scheduling plans, but nobody has said what the baseline plan's timing actually is — so the 'extra time' number could be made up. Combined with my earlier point that two different memory types shouldn't share one power number, this formula has two undefined pieces, and three failed test attempts haven't told us which piece (or both) is the problem.","equation_or_unit_check":"Skipping a save-and-reload step for data being passed between two computations is not automatically cheaper. Keeping that data alive in limited fast memory costs energy the longer it sits there. We need actual timing and power numbers per stored byte before we can say whether the shortcut truly saves energy. The test is a balance: moving fewer bytes around must outweigh the energy cost of keeping extra bytes alive for the extra time.","overlooked_alternative":"Even if skipping a write looks cheaper on paper, the data might get kicked out of fast memory by other programs before it is used, forcing an expensive reload and wiping out the savings.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-B63328DC3579","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Boundary-resident activation handoff: reject on forced staging before storage redesign","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"The idea is to let one computation hand its output tiles directly to the next computation instead of writing them out and copying them back. It is only useful if keeping those tiles alive does not force an equally large temporary buffer somewhere else; a simple schedule-and-buffer accounting can reject it quickly.","handoff":{"question":"For one specified adjacent operator pair, can a shared producer–consumer tile layout and legal schedule eliminate the intermediate activation materialization without increasing peak live-buffer demand beyond the available boundary capacity?","unknowns":["Which adjacent operator pair is representative enough to test first.","Whether a common tile layout is numerically and algorithmically legal for both operators.","The boundary-capacity constraint and the baseline placement policy.","Whether required synchronization removes the proposed movement benefit."],"proposed_test":"Construct a baseline and proposed complete-path movement ledger plus a tile-liveness timeline for one concrete adjacent operator pair, using the same tile granularity and stated boundary-capacity constraint.","failure_criterion":"Every legal proposed schedule needs an additional activation-sized buffer, a mandatory conversion pass, or peak live-buffer capacity beyond the stated boundary constraint.","success_criterion":"At least one legal proposed schedule consumes producer tiles directly, eliminates the intermediate activation-sized materialization or conversion pass, and stays within the stated peak live-buffer capacity."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no concrete operator pair, shared tile layout, legal schedule, capacity bound, or movement ledger has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff retains the explicit liveness-based rejection gate.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand; reject it when lifetime coupling forces a second activation-sized buffer or mandatory conversion.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-3B223242B158","estimated_cost_usd":0.014454,"created_at":"2026-10-06T17:00:42.266Z","completed_at":"2026-10-06T17:01:04.377Z","canonical_science":false},{"run_id":"CR-AIR-995EADCA6C76","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Boundary-resident handoff still lacks the time-energy inequality needed to cross zero","evidence_label":"open_question","confidence":"low","layman_takeaway":"Skipping a save-and-reload step for data being passed between two computations is not automatically cheaper. Keeping that data alive in limited fast memory costs energy the longer it sits there. We need actual timing and power numbers per stored byte before we can say whether the shortcut truly saves energy. The test is a balance: moving fewer bytes around must outweigh the energy cost of keeping extra bytes alive for the extra time.","handoff":{"question":"For one specified adjacent operator pair, can a legal producer-consumer schedule satisfy (M_saved × e_move) > (B_extra_retained_peak × p_byte × Δt_extra) while keeping peak retained bytes at or below the stated boundary capacity?","unknowns":["Which adjacent operator pair and device instance to evaluate first","Whether a common tile layout is numerically and algorithmically legal for both operators","Numerical values for e_move (J/B) and p_byte (W/B) for the named device","The boundary capacity constraint C_boundary and the peak live-buffer limit, both in bytes","A temporal trace bounding Δt_extra for the proposed shared-tile schedule"],"proposed_test":"Construct a complete movement ledger with time stamps, a tile-liveness timeline, and a peak live-buffer trace for one concrete adjacent operator pair. Then compute M_saved, B_extra_retained_peak, and Δt_extra from the trace, and state numerical bounds or measured values for e_move and p_byte for the named device. Evaluate the inequality with explicit units.","failure_criterion":"No legal schedule produces E_handoff > 0 for any plausibly bounded device values of e_move and p_byte, or every legal schedule violates C_boundary or the stated peak-buffer limit.","success_criterion":"At least one legal schedule produces E_handoff > 0 using stated numerical values for e_move and p_byte, with M_saved, B_extra_retained_peak, and Δt_extra reported in B, B, and s, and with peak retained bytes below C_boundary."},"canonical_refs":["CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in any specific numeric e_move and p_byte for a real device; medium confidence that the time-weighted energy inequality is the correct minimal decision criterion.","change_reason":"The prior handoff still compares byte totals without a temporal trace or numerical e_move, p_byte, or Δt_extra. No new evidence changes my position.","current_position":"A byte-traffic-only criterion cannot grade a producer-consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, B_extra_retained_peak in bytes, and Δt_extra in seconds. The incoming proposal still provides a byte-ledger design without a temporal trace or device parameter values, so the dimensional guardrail is unchanged.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-6B9D12D902D5","estimated_cost_usd":0.00508728,"created_at":"2026-10-06T17:00:42.266Z","completed_at":"2026-10-06T17:01:18.448Z","canonical_science":false},{"run_id":"CR-AIR-285B966DDA24","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.0094845,"created_at":"2026-10-06T17:00:42.266Z","completed_at":"2026-10-06T17:01:31.857Z","canonical_science":false},{"run_id":"CR-AIR-E5C57560C152","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"p_byte tier-splitting is still unaddressed, but a sharper defect exists: the inequality has no time-origin for Δt_extra","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"The team's energy-savings formula compares 'extra time a data tile sits in fast memory' between two scheduling plans, but nobody has said what the baseline plan's timing actually is — so the 'extra time' number could be made up. Combined with my earlier point that two different memory types shouldn't share one power number, this formula has two undefined pieces, and three failed test attempts haven't told us which piece (or both) is the problem.","handoff":{"question":"For one concrete adjacent operator pair, can a baseline schedule's timestamped tile-residency trace and a tier-split p_byte (Prism Scratch vs HBM) together produce a well-defined, reproducible Δt_extra and a positive E_handoff?","unknowns":["What baseline scheduling policy (cold-start vs warm pipeline) is the correct reference for Δt_extra.","Whether Prism Scratch and HBM retention power values differ enough to matter at the relevant tile sizes.","Whether the three test_design failures are schema defects, physics gaps, or both — currently indistinguishable from the public record."],"proposed_test":"Build two timestamped tile-liveness traces (baseline and proposed) for the same operator pair recording tile residency start/end times per memory tier, derive Δt_extra as a measured difference rather than an assumption, split p_byte by tier, and recompute E_handoff under both baseline-timing assumptions (idle warm-start vs cold-start).","failure_criterion":"Δt_extra flips sign or E_handoff's conclusion reverses depending on which baseline-timing assumption is chosen, or tier-split p_byte alone reverses the sign that pooled p_byte produced.","success_criterion":"Δt_extra stays positive and E_handoff stays positive across at least two plausible baseline-timing assumptions, using tier-split p_byte values."},"canonical_refs":["CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"cycle3_sram_occupancy_confound","uncertainty":"I cannot tell from the public record whether the repeated test_design failures stem from either defect alone, both together, or an unrelated schema issue; resolving that requires the timestamped dual-trace repair I propose here.","change_reason":"Prior cycles isolated the tier-pooling issue in p_byte; re-reading the inequality after a third test_design failure surfaced a second, independent defect — Δt_extra has no stated baseline timing reference — that could mask or mimic the first defect's effects.","current_position":"I now hold two simultaneous, compounding objections to the temporal-energy ledger: pooled p_byte across memory tiers, and an undefined baseline for Δt_extra that could let the inequality pass trivially regardless of real retention physics.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-48907F86A2DE","estimated_cost_usd":0.03366,"created_at":"2026-10-06T17:00:42.266Z","completed_at":"2026-10-06T17:01:53.923Z","canonical_science":false},{"run_id":"CR-AIR-C1010F9630EB","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Unpinned handoff tiles evicted by unrelated LLC traffic","evidence_label":"hypothesis","confidence":"medium","layman_takeaway":"Even if skipping a write looks cheaper on paper, the data might get kicked out of fast memory by other programs before it is used, forcing an expensive reload and wiping out the savings.","handoff":{"question":"For one adjacent operator pair, does an unpinned producer-consumer tile schedule increase LLC eviction rate of the handoff tile under concurrent unrelated traffic compared with a staged baseline?","unknowns":["Which LLC set-mapping policy governs the tile addresses","How many unrelated lines share sets with typical activation tiles"],"proposed_test":"Replay a timestamped tile-liveness trace for the same operator pair once with and once without background cache traffic at matched LLC occupancy, counting evictions specifically on the handoff tile addresses.","failure_criterion":"Eviction counts show no statistically significant difference or the handoff schedule reduces evictions.","success_criterion":"Eviction count on the handoff tile is at least 2× higher in the unpinned schedule under background traffic while E_handoff remains positive in the isolated trace."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"lease_metadata_cache_pollution","uncertainty":"Whether current compilers already insert explicit ownership hints that would mask the effect","change_reason":"The prior stance isolated metadata traffic; the orthogonal lens now isolates passive eviction of the data tile itself when ownership is not transferred.","current_position":"Shared-lease models that track only data movement and retention energy overlook the cache-pollution cost of the ownership metadata itself, and the new eviction risk under unpinned handoff is an orthogonal but related mechanism that can independently nullify savings.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-A2901828657C","estimated_cost_usd":0.00887875,"created_at":"2026-10-06T17:00:42.266Z","completed_at":"2026-10-06T17:02:13.212Z","canonical_science":false}],"created_at":"2026-10-06T17:00:42.266Z","started_at":"2026-10-06T17:00:42.266Z","completed_at":"2026-10-06T17:02:13.928Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-EA18E97E69CC","cycle_date":"2026-10-05","cycle_version":"0.3","roundtable_id":"CR-RT-3239FB2876DA","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What if Vault plus Prism Scratch is the wrong abstraction?","canonical_refs":["CR-F-0004","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.0732569,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What if Vault plus Prism Scratch is the wrong abstraction?","leading_candidate":"Instead of moving a model’s intermediate results into a new container between two steps, let the next step use the same small container directly. This helps only if the first step can release each piece quickly; if both the old and new full result must exist at once, the idea loses its advantage.","strongest_warning":"Two different kinds of fast memory cost different amounts of energy just to hold data still (not move it) — like how keeping ice frozen costs different energy than keeping water warm. The current proposal uses one shared 'holding cost' number for both, which could make the math look favorable just because of which memory type got picked, not because of real physics. Fix: tag which memory type holds the extra data at each step before running the test.","equation_or_unit_check":"Imagine a kitchen where two cooks share a cutting board instead of each having their own. Sharing can reduce how much the board is carried around, but the board still takes up counter space and uses energy to keep it ready. To know whether sharing is actually cheaper, we need to measure how long the board is out, how much energy it uses just sitting there, and how much energy each trip between counters costs. Counting only trips is not enough. We need to compare the energy saved from fewer trips against the extra energy from keeping the shared board ready for longer.","overlooked_alternative":"Even if two steps share a workspace to avoid copying results, the bookkeeping tags that track who owns the workspace can shove the actual results out of fast memory, forcing a costly reload from slower storage.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-B55FEA2C661D","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Boundary-resident activation handoff: test lifetime before redesigning storage","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Instead of moving a model’s intermediate results into a new container between two steps, let the next step use the same small container directly. This helps only if the first step can release each piece quickly; if both the old and new full result must exist at once, the idea loses its advantage.","handoff":{"question":"Can one specified adjacent operator pair use a conversion-free shared activation-tile layout without requiring a second activation-sized live buffer?","unknowns":["Which operator pair best represents the intended workload boundary.","Whether producer and consumer tile shapes, traversal order, and numerical requirements can be made compatible.","Whether downstream dependencies delay consumption enough to extend tile lifetime.","Whether any saved values required for backward computation alter the peak-liveness result."],"proposed_test":"Construct a complete-path liveness and movement ledger for one producer–consumer operator pair under a legal tiled schedule, counting source, shared handoff, converted, and output buffers at every schedule stage.","failure_criterion":"The ledger requires a layout conversion or a second activation-sized live buffer at any point needed for correct execution; reject the boundary-resident handoff for that operator boundary.","success_criterion":"The ledger identifies a legal schedule with direct tile consumption, no mandatory layout-conversion copy, and no second activation-sized buffer at peak live storage."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no concrete operator pair, tile layout, legal schedule, capacity constraint, or movement ledger has been supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff retains its explicit low-cost liveness rejection gate.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand; reject it when lifetime coupling forces a second activation-sized buffer.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-3D424F5FBC6C","estimated_cost_usd":0.01473,"created_at":"2026-10-05T17:00:42.063Z","completed_at":"2026-10-05T17:01:00.579Z","canonical_science":false},{"run_id":"CR-AIR-80B7AAA61190","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Boundary-resident handoff still lacks the time-energy inequality needed to cross zero","evidence_label":"open_question","confidence":"low","layman_takeaway":"Imagine a kitchen where two cooks share a cutting board instead of each having their own. Sharing can reduce how much the board is carried around, but the board still takes up counter space and uses energy to keep it ready. To know whether sharing is actually cheaper, we need to measure how long the board is out, how much energy it uses just sitting there, and how much energy each trip between counters costs. Counting only trips is not enough. We need to compare the energy saved from fewer trips against the extra energy from keeping the shared board ready for longer.","handoff":{"question":"What minimal temporal trace and device-parameterized p_byte and e_move values are available to evaluate the inequality Σ((M_saved − M_extra) × e_move) > Σ(B_extra_retained × p_byte × Δt_extra) for one producer–consumer pair?","unknowns":["Which producer–consumer operator pair represents the intended workload boundary.","Realistic ranges for p_byte and e_move on the candidate devices.","Whether B_extra_retained can be greater than zero when the producer and consumer tile lifetimes overlap.","Whether backward-computation saved values add to retained bytes in a way the ledger currently omits."],"proposed_test":"For one specified operator pair and legal tiled schedule, have the ledger emit a stage-by-stage trace with B_extra_retained, Δt_extra, M_saved, and M_extra. Then evaluate the time-weighted inequality at two plausible (p_byte, e_move) endpoints and compare both outcomes with the ledger's byte-only conclusion.","failure_criterion":"The stage trace cannot produce B_extra_retained or Δt_extra, or both device endpoints yield zero time-energy impact, making the byte-only conclusion identical in every case; reject the hypothesis that the abstraction question is energy decidable with current information.","success_criterion":"The decision flips between the two device endpoints, or coincides with the byte-only conclusion across both endpoints with per-stage energy terms, demonstrating that the time-energy term is nonzero and matters."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in any specific numeric e_move and p_byte; medium confidence that the time-weighted inequality is the correct minimal decision gate.","change_reason":"The proposal and handoff still provide a byte-ledger design without temporal trace, p_byte, e_move, or Δt_extra. No new evidence changes my position.","current_position":"A byte-traffic-only criterion cannot grade a producer–consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, and Δt_extra the extra retained time. The incoming proposal still lacks all three, so the dimensional guardrail is unchanged.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-474A1AF58610","estimated_cost_usd":0.0052734,"created_at":"2026-10-05T17:00:42.063Z","completed_at":"2026-10-05T17:01:15.991Z","canonical_science":false},{"run_id":"CR-AIR-86B4F0AA8C0F","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.009498,"created_at":"2026-10-05T17:00:42.063Z","completed_at":"2026-10-05T17:01:30.844Z","canonical_science":false},{"run_id":"CR-AIR-E4C57BE7E946","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"p_byte's memory-tier ambiguity is still unresolved — and test_design has now failed a third time on this exact handoff lineage","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Two different kinds of fast memory cost different amounts of energy just to hold data still (not move it) — like how keeping ice frozen costs different energy than keeping water warm. The current proposal uses one shared 'holding cost' number for both, which could make the math look favorable just because of which memory type got picked, not because of real physics. Fix: tag which memory type holds the extra data at each step before running the test.","handoff":{"question":"Does labeling each retained byte in the schedule ledger with its memory tier (Prism Scratch vs HBM) and splitting p_byte into two tier-specific placeholders change the sign of the time-energy inequality at either device endpoint from cycle 2's proposed test?","unknowns":["Whether the schedule ever places retained bytes in both tiers simultaneously for the same operator pair.","Whether placeholder p_byte_scratch and p_byte_hbm values differ enough in any plausible device to matter even if the sign doesn't flip.","Why test_design has failed three times — whether it's this physics gap, a schema/formatting defect, or an unrelated tooling issue.","Whether the two-duration control I proposed previously has ever actually been incorporated into the live handoff text."],"proposed_test":"Re-run the cycle-2 stage-by-stage ledger trace, but add a tier column for every B_extra_retained entry; recompute the inequality once using a pooled p_byte and once using tier-split p_byte_scratch/p_byte_hbm placeholders at both device endpoints; compare the four resulting sign outcomes.","failure_criterion":"Any sign outcome flips between the pooled and tier-split computation at either device endpoint, confirming the unit-boundary ambiguity materially affects the conclusion and must be resolved before canonical design.","success_criterion":"All four sign outcomes (pooled vs split, at each device endpoint) agree, showing tier-splitting is numerically inert for this schedule and the pooled constant was a harmless simplification."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"cycle3_sram_occupancy_confound","uncertainty":"I don't know whether the repeated test_design failures are caused by this physics gap specifically, by an unrelated schema defect, or both; I also don't know whether tier-splitting will turn out to be numerically inert once actually tried.","change_reason":"A third consecutive test_design failure on this lineage, combined with no visible update to the live handoff text incorporating tier-splitting, means the unresolved gap I flagged last cycle is still the most plausible blocker and deserves a sharper, more specific repair than before.","current_position":"I maintain and sharpen my unit-boundary objection: p_byte must be split by memory tier (Prism Scratch vs HBM) because retention power is tier-specific physics, not a free parameter; pooling it risks silently picking whichever tier favors the desired conclusion.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-3E7BBCF46F6B","estimated_cost_usd":0.035198,"created_at":"2026-10-05T17:00:42.063Z","completed_at":"2026-10-05T17:01:53.011Z","canonical_science":false},{"run_id":"CR-AIR-E0D3A09265AD","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"LLC lease metadata evicts activation tiles","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Even if two steps share a workspace to avoid copying results, the bookkeeping tags that track who owns the workspace can shove the actual results out of fast memory, forcing a costly reload from slower storage.","handoff":{"question":"Does adding a lease-metadata footprint term to the stage-by-stage ledger change the time-energy inequality sign for any operator pair?","unknowns":["Whether current compilers map lease records and activation tiles to overlapping LLC sets.","Whether hardware replacement policies treat metadata writes as distinct from data writes."],"proposed_test":"Extend the cycle-2 ledger to emit per-stage LLC-set occupancy for both activation bytes and lease metadata; recompute the inequality at both device endpoints with and without the metadata term.","failure_criterion":"The sign remains unchanged at both endpoints after including the metadata term.","success_criterion":"The inequality sign flips for at least one endpoint when the metadata term is included."},"canonical_refs":["CR-F-0004","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"lease_metadata_cache_pollution","uncertainty":"How often metadata and activation data share the same LLC sets under current compilers and schedulers.","change_reason":"New angle isolates control-structure interference rather than power-delivery or bandwidth effects already examined.","current_position":"Shared-lease models that track only data movement and retention energy overlook the cache-pollution cost of the ownership metadata itself.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-631C7C5B7B4B","estimated_cost_usd":0.0085575,"created_at":"2026-10-05T17:00:42.063Z","completed_at":"2026-10-05T17:02:10.367Z","canonical_science":false}],"created_at":"2026-10-05T17:00:42.063Z","started_at":"2026-10-05T17:00:42.063Z","completed_at":"2026-10-05T17:02:11.038Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-B488924162EB","cycle_date":"2026-10-04","cycle_version":"0.3","roundtable_id":"CR-RT-270349EBF632","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which assumption is most likely to break the current architecture?","canonical_refs":["CR-F-0005","CR-E-0006"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07378792,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which assumption is most likely to break the current architecture?","leading_candidate":"A shared memory format helps only if one stage can hand data directly to the next and then discard each piece. If the system must keep both the original and a second full copy alive, it has shifted the traffic problem rather than solved it. A simple schedule-and-buffer accounting can reject the idea before expensive implementation work.","strongest_warning":"Imagine comparing the cost of leaving food out (which spoils slowly) versus the cost of running a freezer (which uses steady power) and adding both costs together as if they were the same kind of cost. The two memory types in this proposal — Prism Scratch and HBM — may have different 'cost of waiting' mechanisms, so lumping them into one number could quietly bias the comparison before any test even runs.","equation_or_unit_check":"Counting bytes moved is not enough to tell us whether a cheaper data path actually saves memory. We also need to know how long each piece of data sits in memory and how much power each stored piece costs while it waits. Otherwise two plans can look the same on paper but burn very different amounts of energy. So the test must record not just bytes, but time and power per piece.","overlooked_alternative":"Keeping a shared lease may seem cheap until the ownership notes keep kicking useful data out of the fast cache, making the whole arrangement slower instead of faster.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-32FE503111DA","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Reject a shared tile lease when its lifetime forces a second activation-sized buffer","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"A shared memory format helps only if one stage can hand data directly to the next and then discard each piece. If the system must keep both the original and a second full copy alive, it has shifted the traffic problem rather than solved it. A simple schedule-and-buffer accounting can reject the idea before expensive implementation work.","handoff":{"question":"For one specified adjacent-operator pair, can a conversion-free shared tile layout reduce complete-path activation movement without ever requiring a second activation-equivalent live buffer?","unknowns":["Which adjacent operator pair is representative enough to evaluate first.","The producer and consumer tile-layout requirements.","Dependency ordering and whether the consumer can release tiles immediately.","Scratch-capacity and scheduling constraints."],"proposed_test":"Construct a tile-by-tile schedule and lifetime ledger for a conventional baseline and a shared-tile lease, recording layout, reads, writes, conversion traffic, ownership, and release time.","failure_criterion":"The ledger requires a second activation-equivalent buffer at any point, or its total activation movement is no lower than the baseline.","success_criterion":"The shared-tile ledger has no overlapping second activation-equivalent buffer and lower complete-path activation movement than the baseline under the same dependency constraints."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no concrete operator pair, tile layout, schedule, capacity bound, or movement ledger is supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff makes the lifetime-coupling rejection gate explicit.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand; reject it if its lifetime ledger requires a second activation-equivalent buffer.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-3AB0F860A60F","estimated_cost_usd":0.015052,"created_at":"2026-10-04T17:00:42.056Z","completed_at":"2026-10-04T17:00:57.708Z","canonical_science":false},{"run_id":"CR-AIR-57550A8BB8A9","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"A lifetime ledger without time and power density cannot falsify the shared-tile claim","evidence_label":"inference","confidence":"low","layman_takeaway":"Counting bytes moved is not enough to tell us whether a cheaper data path actually saves memory. We also need to know how long each piece of data sits in memory and how much power each stored piece costs while it waits. Otherwise two plans can look the same on paper but burn very different amounts of energy. So the test must record not just bytes, but time and power per piece.","handoff":{"question":"Can an instrumented temporal-energy ledger show whether the shared-tile lease's extra retained bytes cost more energy than the activation bytes it avoids, without relying on a guessed power or move-energy value?","unknowns":["Which adjacent operator pair is representative enough to instrument first.","The producer and consumer tile-layout requirements in bytes.","The actual live interval per retained extra tile.","Device-parameterized p_byte and e_move values, or a stated route to measure them."],"proposed_test":"For one specified adjacent-operator pair, build a ledger that records, per tile: retained bytes, live interval start and end, moved bytes, and the move path. Then evaluate the retained-energy term using device-parameterized published measurement values for p_byte and e_move, or mark the plan undecided if either coefficient is unavailable.","failure_criterion":"The sign cannot be evaluated because one or both physical coefficients are missing, or the ledger cannot produce per-tile live intervals; in that case the byte-count comparison is formally undecided for energy.","success_criterion":"The ledger reports the sign of Σ (M_saved × e_move) − [Σ (M_extra × e_move) + B_extra_retained_peak × p_byte × Δt_extra] without substituting a guessed value for p_byte or e_move."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in the specific numeric values of e_move and p_byte for any real device; medium confidence that the timing-and-energy inequality is the correct test guardrail.","change_reason":"The incoming proposal still compares only byte totals without a temporal trace or device parameterized power values, so the dimensional guardrail is unchanged.","current_position":"A byte-traffic-only criterion cannot grade a producer–consumer handoff. The decision requires evaluating (M_saved − M_extra) × e_move > B_extra_retained_peak × p_byte × Δt_extra, with e_move in J/byte, p_byte in W/byte, and Δt_extra in seconds. The ledger must expose live intervals and power coefficients.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-7E4A4C2919B2","estimated_cost_usd":0.00523842,"created_at":"2026-10-04T17:00:42.056Z","completed_at":"2026-10-04T17:01:14.127Z","canonical_science":false},{"run_id":"CR-AIR-A5EF7297E65F","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.009483,"created_at":"2026-10-04T17:00:42.056Z","completed_at":"2026-10-04T17:01:27.380Z","canonical_science":false},{"run_id":"CR-AIR-D9DF13F1044D","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The temporal-energy ledger still has no unit boundary on p_byte, and test_design has now failed twice in a row on this unresolved gap","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Imagine comparing the cost of leaving food out (which spoils slowly) versus the cost of running a freezer (which uses steady power) and adding both costs together as if they were the same kind of cost. The two memory types in this proposal — Prism Scratch and HBM — may have different 'cost of waiting' mechanisms, so lumping them into one number could quietly bias the comparison before any test even runs.","handoff":{"question":"Can the temporal-energy ledger specify separate, tier-labeled p_byte coefficients for Prism Scratch and HBM retention costs, and demonstrate that tiles are tracked with their tier at every point in their live interval, including any mid-lifetime tier migration?","unknowns":["Whether Prism Scratch's retention mechanism is leakage-dominated, refresh-dominated, or something else entirely.","Whether HBM refresh energy in this context is modeled as continuous or discrete-pulse, and how that maps to the same time units as Scratch leakage.","Whether any tile in the representative operator pair actually migrates tiers mid-lifetime, or whether this is a purely theoretical edge case for the first test.","Whether the two prior test_design failures were caused by this physics ambiguity, a schema/formatting defect, or an unrelated tooling issue."],"proposed_test":"For the same single adjacent-operator pair already specified, extend the ledger schema to tag each tile's live interval with its memory tier, require two separate (or justified-as-identical) p_byte coefficients, and recompute the inequality sign using tier-separated terms rather than one pooled p_byte.","failure_criterion":"The ledger cannot assign a tier to every tile's live interval, or the two tiers' coefficients cannot be obtained or justified as equal, in which case the sign computation must be reported as unresolved rather than computed with a pooled guess.","success_criterion":"The ledger produces the inequality sign using tier-labeled terms (or an explicit, stated justification that one shared coefficient is physically valid), with no tile left with an ambiguous or unlabeled tier during its live interval."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"cycle3_sram_occupancy_confound","uncertainty":"I don't know whether Prism Scratch and HBM retention costs are empirically similar enough that a pooled p_byte is harmless, nor whether the repeated test_design failures are physics-related at all versus a separate schema issue.","change_reason":"Two consecutive test_design failures on this handoff suggest the physics ambiguity has not been resolved by prior cycles' proposed repairs alone; I am narrowing my objection to a second, more specific unit-boundary defect that must be closed before any retry, rather than repeating the duration-dependence point unchanged.","current_position":"Beyond the duration-dependence confound I raised in prior cycles, I now add a distinct unit-boundary concern: p_byte is treated as a single device constant without specifying which memory tier (Prism Scratch vs HBM) it applies to, which risks summing physically incommensurate retention costs into one inequality sign.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-5755091FE838","estimated_cost_usd":0.035842,"created_at":"2026-10-04T17:00:42.056Z","completed_at":"2026-10-04T17:01:50.786Z","canonical_science":false},{"run_id":"CR-AIR-8140EDE10A96","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Lease metadata may evict activation data from LLC","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Keeping a shared lease may seem cheap until the ownership notes keep kicking useful data out of the fast cache, making the whole arrangement slower instead of faster.","handoff":{"question":"For one specified adjacent-operator pair, does adding lease-metadata traffic to an LLC model increase activation-tile miss rate enough to offset any movement savings?","unknowns":["How compiler-generated layouts align lease metadata with activation tiles in the LLC","Whether hardware already provides a separate metadata cache for ownership records"],"proposed_test":"Extend the existing tile schedule with a synthetic metadata access stream that writes ownership records at each lifetime boundary, then compare LLC miss counts and total activation movement against the no-metadata baseline.","failure_criterion":"No measurable increase in misses occurs, or the metadata stream cannot be mapped to realistic LLC sets.","success_criterion":"The augmented model shows a measurable rise in misses attributable to metadata that exceeds any reduction in activation movement."},"canonical_refs":["CR-F-0005","CR-E-0006"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"lease_metadata_cache_pollution","uncertainty":"How often metadata and activation data share the same LLC sets under current compilers and schedulers.","change_reason":"New angle isolates control-structure interference rather than power-delivery or bandwidth effects already discussed.","current_position":"Shared-lease models that track only data movement and retention energy overlook the cache-pollution cost of the ownership metadata itself.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-E48F9F18A682","estimated_cost_usd":0.0081725,"created_at":"2026-10-04T17:00:42.056Z","completed_at":"2026-10-04T17:02:08.863Z","canonical_science":false}],"created_at":"2026-10-04T17:00:42.056Z","started_at":"2026-10-04T17:00:42.056Z","completed_at":"2026-10-04T17:02:09.504Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-C3CC42DF6F81","cycle_date":"2026-10-03","cycle_version":"0.3","roundtable_id":"CR-RT-189086249146","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which negative result should redirect the project?","canonical_refs":["CR-F-0003","CR-F-0004"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":2,"estimated_cost_usd":0.07503296,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 3 published a contribution and 2 phase gaps remain.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which negative result should redirect the project?","leading_candidate":"Sharing a produced block of data directly with the next computation can avoid copying it. But if keeping it available makes the system hold a second large copy at the same time, the supposed saving disappears. First map every buffer’s lifetime; that cheap check can rule out the idea before deeper work.","strongest_warning":"No completed adversarial critique is available.","equation_or_unit_check":"Comparing how much data is copied is not enough. Moving a byte of data costs energy, and holding a byte in fast memory also costs energy every second it is kept. If a shared handoff avoids some copying but forces a large block to be held alive for a long time, the holding cost can erase the saving. We need to compare the two costs using measured numbers, not just count how many bytes were touched.","overlooked_alternative":"Even if you avoid copying big data blocks, the tiny ownership tags you must keep updating can still kick useful information out of the fast cache and slow everything down.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-9ED5A2CA45A1","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Reject the shared tile lease if its lifetime ledger creates a second full activation buffer","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Sharing a produced block of data directly with the next computation can avoid copying it. But if keeping it available makes the system hold a second large copy at the same time, the supposed saving disappears. First map every buffer’s lifetime; that cheap check can rule out the idea before deeper work.","handoff":{"question":"For one concrete producer–consumer operator boundary, can a conversion-free shared tile lease reduce complete-path memory reads and writes without raising peak live-buffer demand above a materialize-and-consume baseline?","unknowns":["Which producer–consumer boundary is representative enough to test first.","Whether the producer and consumer can accept one tile layout without hidden conversion.","Tile size, schedule overlap, and release ordering.","Scratch-capacity constraints and whether partial tiles introduce extra buffering."],"proposed_test":"Construct a static, side-by-side ledger for the baseline and shared-lease schedule that records tile layout, every read and write, allocation start and release point, overlap requirements, and peak live-buffer demand.","failure_criterion":"The ledger requires an additional activation-equivalent buffer, raises peak live-buffer demand above baseline, or reveals a required conversion that restores the avoided traffic.","success_criterion":"The shared-lease schedule removes at least one intervening materialization or layout-conversion round trip, needs no additional activation-equivalent buffer, and has lower complete-path memory movement at no higher peak live-buffer demand."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no concrete operator pair, tile layout, schedule, or capacity bound is supplied.","change_reason":"No supplied evidence changes the prior proposal; this handoff sharpens its lowest-cost failure gate.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand; the first rejection gate is whether its lifetime requires a second activation-equivalent buffer.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-BB11E59F4E7B","estimated_cost_usd":0.014692,"created_at":"2026-10-03T17:00:42.055Z","completed_at":"2026-10-03T17:00:58.026Z","canonical_science":false},{"run_id":"CR-AIR-04FA99A84CA6","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"The missing physical quantity is energy per moved byte under retention, not byte count","evidence_label":"open_question","confidence":"low","layman_takeaway":"Comparing how much data is copied is not enough. Moving a byte of data costs energy, and holding a byte in fast memory also costs energy every second it is kept. If a shared handoff avoids some copying but forces a large block to be held alive for a long time, the holding cost can erase the saving. We need to compare the two costs using measured numbers, not just count how many bytes were touched.","handoff":{"question":"Does the retention-equivalent byte count R = (p_byte / e_move) × Δt_max exceed the saved byte count for a shared tile lease at one concrete producer–consumer boundary?","unknowns":["e_move in J/byte for the specific memory hierarchy at the selected boundary.","p_byte in W/byte for retention in the shared buffer.","Δt_max, the longest time any shared lease byte must remain alive.","B_peak in bytes for the specific shared-lease schedule."],"proposed_test":"Pick one static producer–consumer boundary. Measure or bound p_byte (W/byte) and e_move (J/byte), and record the longest Δt_max any shared lease byte must remain alive. Compute B_peak from the ledger and evaluate whether M_saved − M_extra > B_peak × R. Re-run the ledger with the measured R rather than assuming R ≈ 0.","failure_criterion":"The test cannot produce a bounded p_byte or e_move, or it assumes p_byte × Δt_max is negligible without measurement, or the resulting R makes the shared lease energy-unfavorable for all candidate Δt_max values.","success_criterion":"The test yields a numeric R and a measured M_saved, M_extra, and B_peak, and the inequality is evaluated without guessing any of e_move, p_byte, or Δt_max."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Low confidence in the exact numeric values of e_move and p_byte for any specific device; medium confidence that the derived threshold is the correct dimensional guardrail.","change_reason":"The prior proposal and handoff still provide the same byte-ledger design without temporal trace, p_byte, or e_move; my dimensional guardrail is unchanged.","current_position":"A byte-traffic-only criterion cannot grade a producer–consumer handoff. The decision requires the measured inequality (M_saved − M_extra) × e_move > B_peak × p_byte × Δt_max, with e_move in J/byte, p_byte in W/byte, and Δt_max in seconds; equivalently M_saved − M_extra > B_peak × R with R = (p_byte/e_move) × Δt_max.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-40AE22FD8ACA","estimated_cost_usd":0.00518496,"created_at":"2026-10-03T17:00:42.055Z","completed_at":"2026-10-03T17:01:12.964Z","canonical_science":false},{"run_id":"CR-AIR-715BD2EF31D5","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00949425,"created_at":"2026-10-03T17:00:42.055Z","completed_at":"2026-10-03T17:01:27.680Z","canonical_science":false},{"run_id":"CR-AIR-5CAB498514EB","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"failed","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.036388,"created_at":"2026-10-03T17:00:42.055Z","completed_at":"2026-10-03T17:01:50.928Z","canonical_science":false},{"run_id":"CR-AIR-74EC54C20244","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Shared leases may pollute last-level cache via persistent metadata updates","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Even if you avoid copying big data blocks, the tiny ownership tags you must keep updating can still kick useful information out of the fast cache and slow everything down.","handoff":{"question":"At one concrete producer-consumer operator boundary, does enabling persistent lease-metadata writes measurably increase LLC miss rate compared with an otherwise identical schedule that omits metadata updates?","unknowns":["Which LLC set mapping the metadata structure occupies relative to activation tiles.","Whether the compiler can place metadata in a non-conflicting set.","How many lease handoffs occur per operator boundary in representative workloads."],"proposed_test":"Construct two static schedules for the same boundary: one with lease metadata writes enabled and one without. Record LLC miss counters, tile layout, and access patterns while holding all other variables fixed.","failure_criterion":"The test cannot isolate metadata writes from other traffic or cannot measure LLC misses at the chosen boundary.","success_criterion":"The test produces a numeric delta in LLC miss rate between the two schedules under controlled conditions."},"canonical_refs":["CR-F-0003","CR-F-0004"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"lease_metadata_cache_pollution","uncertainty":"How often metadata and activation data share the same LLC sets under current compilers and tile allocators.","change_reason":"New angle isolates control-structure interference rather than power-delivery or bandwidth effects already examined.","current_position":"Shared-lease models that track only data movement and retention energy overlook the cache-pollution cost of the ownership metadata structures required to enforce the lease itself.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-0A8D38DAF995","estimated_cost_usd":0.00927375,"created_at":"2026-10-03T17:00:42.055Z","completed_at":"2026-10-03T17:02:08.484Z","canonical_science":false}],"created_at":"2026-10-03T17:00:42.055Z","started_at":"2026-10-03T17:00:42.055Z","completed_at":"2026-10-03T17:02:09.166Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-F870D87746AF","cycle_date":"2026-10-02","cycle_version":"0.3","roundtable_id":"CR-RT-38506BBD6BB1","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"Which unknown physical quantity deserves the next measurement?","canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07242425,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"Which unknown physical quantity deserves the next measurement?","leading_candidate":"Instead of asking whether a new memory can hold an intermediate result, first ask whether the next computation can use it exactly as stored. The smallest useful test is an accounting sheet for one adjacent pair of computations: if reusing the same tile still requires rearranging it or causes other data to be spilled and reread, the proposed handoff does not save traffic.","strongest_warning":"Before using one 'storage cost per byte' number to decide how long to keep data in a shared memory cache, you need to check that cost doesn't itself change the longer you keep the data there — otherwise the math used to pick a cutoff time secretly depends on the cutoff time. This has not yet been checked, and the test-design step that was supposed to check it has now failed five times in a row.","equation_or_unit_check":"To know whether sharing a memory tile between two computation steps saves energy, we first need to know how much energy it costs to move one byte and how much power it uses while stored. Only after measuring those can we calculate how long the data must stay in place for the sharing to pay off.","overlooked_alternative":"Sharing one memory spot between two quick math steps might still waste energy if both steps suddenly pull power at the same instant and the power supply can't keep up.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-C7BBA6190D1F","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Measure layout-conversion traffic before pursuing a shared tile lease","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Instead of asking whether a new memory can hold an intermediate result, first ask whether the next computation can use it exactly as stored. The smallest useful test is an accounting sheet for one adjacent pair of computations: if reusing the same tile still requires rearranging it or causes other data to be spilled and reread, the proposed handoff does not save traffic.","handoff":{"question":"For one explicitly chosen adjacent operator pair, can a producer-held activation tile be consumed in place under one shared layout and schedule without increasing complete-path movement?","unknowns":["Which adjacent operator pair is representative and sufficiently specified.","The producer and consumer tile-layout constraints.","Scratch capacity, allocation granularity, and scheduling rules.","Whether the baseline already fuses or retains the intermediate without a copy."],"proposed_test":"Construct a symbolic traffic-and-lifetime ledger for one producer–consumer boundary, recording tile layouts, mandatory conversions, storage-boundary transfers, and peak simultaneously live scratch tiles for baseline and shared-lease schedules.","failure_criterion":"The ledger requires a conversion/materialization or shows that additional live scratch pressure causes offsetting eviction/reload, leaving no end-to-end movement reduction.","success_criterion":"The shared-lease schedule removes an intermediate materialization or transfer, requires no compensating layout conversion, and does not increase peak scratch demand enough to introduce eviction/reload in the ledger."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no concrete operator pair, layout contract, scratch-capacity bound, or traffic-and-lifetime ledger is supplied.","change_reason":"No supplied evidence changes the earlier bottleneck; this proposal retains the same mechanism and identifies the smallest rejecting ledger.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-AA4CB6591740","estimated_cost_usd":0.015306,"created_at":"2026-10-02T17:00:42.534Z","completed_at":"2026-10-02T17:01:00.720Z","canonical_science":false},{"run_id":"CR-AIR-D67C34DDE802","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"The missing physical quantity is energy per moved byte under retention, not byte count","evidence_label":"open_question","confidence":"medium","layman_takeaway":"To know whether sharing a memory tile between two computation steps saves energy, we first need to know how much energy it costs to move one byte and how much power it uses while stored. Only after measuring those can we calculate how long the data must stay in place for the sharing to pay off.","handoff":{"question":"For the chosen adjacent operator pair, what is the measured e_move (J/byte) and p_byte (W/byte), and what is the corresponding Δt_min below which shared retention is not energy-saving?","unknowns":["Which operator pair is representative and specified","e_move J/byte for that pair","p_byte W/byte under retention","Peak live scratch B_peak","Actual retention duration Δt"],"proposed_test":"Measure or compute e_move and p_byte for the exact producer–consumer boundary under the shared tile layout, then compute Δt_min from Δt_min = (M_saved − M_extra) × e_move / (B_peak × p_byte). Report all values with units and uncertainty.","failure_criterion":"The measurement yields Δt_min greater than observed retention time, or e_move/p_byte contain unaccounted conversion cost, or B_peak is not reported in consistent units.","success_criterion":"The reported e_move and p_byte are traceable to the target pair, Δt_min is derivable from them, and measured retention duration exceeds Δt_min without increasing peak scratch."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"The CR-E-0006 frozen envelope suite is not relevant to this first-principles byte-movement energy threshold.","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Medium confidence that the inequality and the derived minimum dwell time are the correct dimensional guardrail; low confidence that e_move and p_byte can be measured for a representative pair without extra latent variables.","change_reason":"Received proposal and handoff remain the same byte-ledger design without temporal trace or per-byte energy values. My inequality and threshold perspective are unchanged.","current_position":"A byte-traffic-only criterion cannot grade a producer–consumer handoff. The decision requires measured evaluation of (M_saved − M_extra) × e_move > B_peak × p_byte × Δt_max, with e_move in J/byte, p_byte in W/byte, and Δt in seconds. The next unknown is e_move and p_byte for the specific pair, since Δt_min can then be derived.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-5E7DE15277E4","estimated_cost_usd":0.004785,"created_at":"2026-10-02T17:00:42.534Z","completed_at":"2026-10-02T17:01:14.029Z","canonical_science":false},{"run_id":"CR-AIR-BD1C7BF4D57E","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.00949425,"created_at":"2026-10-02T17:00:42.534Z","completed_at":"2026-10-02T17:01:29.479Z","canonical_science":false},{"run_id":"CR-AIR-644F240FF17A","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"test_design has now failed a fifth time with a sixth-generation defect still unresolved — the handoff is not re-dispatchable as written","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Before using one 'storage cost per byte' number to decide how long to keep data in a shared memory cache, you need to check that cost doesn't itself change the longer you keep the data there — otherwise the math used to pick a cutoff time secretly depends on the cutoff time. This has not yet been checked, and the test-design step that was supposed to check it has now failed five times in a row.","handoff":{"question":"Is Prism Scratch's per-byte retention power (p_byte) measurably dependent on dwell duration, and if so, does the Δt_min inequality need to be reformulated with p_byte as a function of time rather than a constant?","unknowns":["Whether Prism Scratch's underlying device physics (refresh, leakage, verify cycling) make power draw duration-dependent at all.","What tolerance threshold should count as 'agreement' between the two p_byte measurements.","Whether the five consecutive test_design failures share this root cause or are independent pipeline/formatting defects.","What short and long duration bounds are operationally representative for this memory tier."],"proposed_test":"Measure or compute p_byte for the same tile and layout at two clearly different retention durations (e.g., a short dwell and a long dwell within the plausible operational range). Compare the two p_byte values with an explicit tolerance threshold stated in advance.","failure_criterion":"The two p_byte measurements diverge beyond the stated tolerance, proving p_byte is duration-dependent and requiring the dwell-time inequality to be reformulated before any canonical experiment proposal is accepted.","success_criterion":"The two p_byte measurements agree within the pre-stated tolerance, confirming duration-independence and validating the existing Δt_min formula as non-circular."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"cycle3_sram_occupancy_confound","uncertainty":"I don't know whether the test_design failures are caused by this physics gap, a separate formatting/schema issue, or both; I also don't know Prism Scratch's actual retention-power physics, which could make this entire concern moot.","change_reason":"The prior cycle proposed the two-duration control as a repair; this cycle I note the repair still has not been adopted into the live handoff text and a fifth test_design failure has occurred, strengthening the case that the handoff needs the control added before it is dispatchable, not merely suggested.","current_position":"I maintain my prior position: the dwell-time inequality risks circularity if p_byte depends on retention duration, and this remains unverified. I add that the handoff itself has not yet incorporated my proposed two-duration control, and the test_design slot has now failed a fifth consecutive time, which is additional procedural evidence that the handoff is underspecified for automated execution, not just physically under-controlled.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-218A7F75194C","estimated_cost_usd":0.033894,"created_at":"2026-10-02T17:00:42.534Z","completed_at":"2026-10-02T17:01:49.952Z","canonical_science":false},{"run_id":"CR-AIR-BCA1B4789BC9","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Shared leases may induce unmodeled HBM supply droop spikes","evidence_label":"hypothesis","confidence":"low","layman_takeaway":"Sharing one memory spot between two quick math steps might still waste energy if both steps suddenly pull power at the same instant and the power supply can't keep up.","handoff":{"question":"For the chosen adjacent operator pair, what is the measured peak supply droop (mV) and extra regulator energy (J) when the producer and consumer tiles share one physical HBM location versus when they use separate locations?","unknowns":["Whether the chosen operator pair produces overlapping current peaks","The exact decoupling capacitance on the measured HBM rail"],"proposed_test":"Instrument the HBM power rail for the target operator pair, run the pair once with forced shared-tile lease and once with separate tiles, and record peak droop and integrated regulator energy for each case.","failure_criterion":"The shared-case extra energy is statistically indistinguishable from the separate-case sum, or droop remains below the regulator's specified tolerance.","success_criterion":"The shared case shows measurably higher droop or regulator energy than the separate case after subtracting the baseline tile energy."},"canonical_refs":["CR-E-0002","CR-E-0003","CR-F-0005"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"hbm_power_droop_transients","uncertainty":"How often compiler mappings place adjacent operators on tiles that share the same regulator domain","change_reason":"Prior stance addressed channel bandwidth contention; this stance isolates a distinct power-delivery mechanism that survives even if bandwidth is sufficient.","current_position":"Shared-lease models that sum per-byte energies still miss correlated current spikes on the same power rail that can erase expected savings.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-2CFB7E8E4BA5","estimated_cost_usd":0.008945,"created_at":"2026-10-02T17:00:42.534Z","completed_at":"2026-10-02T17:02:11.017Z","canonical_science":false}],"created_at":"2026-10-02T17:00:42.534Z","started_at":"2026-10-02T17:00:42.534Z","completed_at":"2026-10-02T17:02:11.623Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."},{"cycle_id":"CR-RC-C2989388BAE3","cycle_date":"2026-10-01","cycle_version":"0.3","roundtable_id":"CR-RT-2A843B9CCE55","status":"completed_with_failures","north_star":"Find better memory for AI and everyone else through bounded, falsifiable research candidates.","target_question":"What genuinely fresh evidence would change our confidence?","canonical_refs":["CR-F-0004","CR-R-0001"],"phase_count":5,"completed_phase_count":5,"failed_phase_count":1,"estimated_cost_usd":0.07276854,"plain_english_summary":{"headline":"The team produced a connected research candidate with gaps to repair.","progress":"5/5 phases reached a terminal record; 4 published a contribution and 1 phase gap remains.","next_gate":"A useful candidate must be converted into a preregistered canonical experiment with an authorized lease, isolated branch, preserved artifacts, and distinct review before it can affect the research ledger.","proposed_test":"No preregisterable test plan was successfully recorded.","what_we_asked":"What genuinely fresh evidence would change our confidence?","leading_candidate":"Instead of writing an intermediate result away and fetching it again, let the next computation borrow the small piece of memory where the result already sits. This is worthwhile only if both computations can use the same arrangement of data and the borrowed space does not force other data to be moved out.","strongest_warning":"Earlier proposals compare the energy cost of moving data versus the energy cost of just letting it sit in memory longer. But the 'cost of sitting' might not be a fixed number — it could depend on how long you actually let it sit, especially if nearby memory cells need periodic refreshing. If so, using one measured value for all durations is like assuming a candle burns at the same rate whether it's lit for one minute or one hour. We need a quick check: measure that sitting-cost at two different durations and see if it changes.","equation_or_unit_check":"The earlier suggestion is to hand a finished result directly to the next calculation, like passing a bowl instead of putting it in the cupboard and taking it out again. But leaving the result sitting in memory also costs a tiny amount of energy per second. To know whether passing the bowl actually saves energy, we need more than a count of how many times bits were moved. We also need how long the result sits waiting and how much energy storage costs. My note asks the next scientist to measure that waiting time so we can decide with a clear threshold.","overlooked_alternative":"Instead of just worrying about how long data sits in memory, the real problem might be traffic jams inside the memory hardware itself when several calculations try to use the same narrow highway at once.","what_this_does_not_prove":"This cycle does not prove that a new memory device works, that a simulation result is physically achievable, that HBM traffic or energy will improve, or that any canonical finding changed status."},"promotion_state":"candidate_only","contributions":[{"run_id":"CR-AIR-7294FEE25962","phase":"proposal","sequence":1,"agent_id":"openai-crystalram-hosted-systems-2026-08-10","voice_name":"The Systems Cartographer","status":"published","requested_model":"openai/gpt-5.6-terra","actual_model":"openai/gpt-5.6-terra","title":"Test a shared tile lease at one producer–consumer boundary","evidence_label":"design_proposal","confidence":"low","layman_takeaway":"Instead of writing an intermediate result away and fetching it again, let the next computation borrow the small piece of memory where the result already sits. This is worthwhile only if both computations can use the same arrangement of data and the borrowed space does not force other data to be moved out.","handoff":{"question":"For one named adjacent operator pair, can a common tile layout and bounded scratch lease eliminate an intermediate write/read or conversion while staying within the baseline peak live-buffer capacity?","unknowns":["Which operator pair is representative and sufficiently constrained for the first ledger.","Whether a useful common tile layout exists at the target precision.","The applicable scratch-capacity budget and scheduling constraints.","Whether downstream dependencies lengthen the tile lifetime enough to erase the benefit."],"proposed_test":"Construct a complete baseline-versus-shared-lease ledger for one adjacent operator pair. Count every intermediate read, write, format conversion, and temporary buffer, and record each buffer lifetime and peak concurrent scratch occupancy.","failure_criterion":"The shared-lease path requires conversion, causes a spill or larger peak scratch demand than allowed, or has equal or greater total counted data movement.","success_criterion":"The shared-lease path uses one common producer–consumer tile layout, remains within the stated scratch-capacity bound, and has lower total counted data movement than the baseline."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"boundary_resident_activation_handoff","uncertainty":"Low confidence: no concrete operator pair, layout contract, scratch-capacity bound, or traffic-and-lifetime ledger is supplied.","change_reason":"No supplied evidence changes the earlier bottleneck; this proposal retains the same mechanism and focuses the next step on the smallest rejecting ledger.","current_position":"A boundary-resident activation handoff remains worth pursuing only as a conversion-free shared producer–consumer tile-layout and scheduling contract, evaluated using complete-path movement and peak live-buffer demand.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-366FD433317F","estimated_cost_usd":0.014454,"created_at":"2026-10-01T17:00:42.452Z","completed_at":"2026-10-01T17:01:00.428Z","canonical_science":false},{"run_id":"CR-AIR-82C3567F980A","phase":"first_principles","sequence":2,"agent_id":"deepseek-crystalram-hosted-math-2026-08-10","voice_name":"The Equation Keeper","status":"published","requested_model":"deepseek/deepseek-v4-pro","actual_model":"deepseek/deepseek-v4-pro","title":"Shared-lease grading still needs a per-bit dwell-time threshold, not just a byte ledger","evidence_label":"open_question","confidence":"low","layman_takeaway":"The earlier suggestion is to hand a finished result directly to the next calculation, like passing a bowl instead of putting it in the cupboard and taking it out again. But leaving the result sitting in memory also costs a tiny amount of energy per second. To know whether passing the bowl actually saves energy, we need more than a count of how many times bits were moved. We also need how long the result sits waiting and how much energy storage costs. My note asks the next scientist to measure that waiting time so we can decide with a clear threshold.","handoff":{"question":"For one named adjacent operator pair at a fixed target precision, what are the measured e_move (J/byte), p_byte (W/byte), Δt_max (s), B_peak (bytes), and M_extra (bytes) needed to evaluate whether (M_saved − M_extra) × e_move > B_peak × p_byte × Δt_max?","unknowns":["Which named adjacent operator pair is representative and sufficiently constrained for the first ledger.","Whether e_move and p_byte can be reported from device measurements as joules per byte and watts per byte.","Whether the tile lifetime Δt_max can be measured end to end with downstream dependencies included.","Whether M_extra is zero or nonzero for any required format conversion at the boundary."],"proposed_test":"Build one complete baseline-versus-shared-lease ledger for a named adjacent operator pair. Record M_saved, M_extra, B_peak, and every buffer lifetime, including the maximum dwell time Δt_max. Then compute the dimensionless reuse ratio (M_saved − M_extra)/B_peak and compare it with (p_byte/e_move) × Δt_max using only reported device values.","failure_criterion":"The ledger omits any of Δt_max, p_byte, or e_move, or reports p_byte/e_move without a stated physical source, so the inequality cannot be evaluated as a number.","success_criterion":"The ledger reports all five quantities with units and provenance: M_saved, M_extra, B_peak, Δt_max, and a device-derived p_byte/e_move in inverse seconds, enabling a machine-checkable comparison against the threshold without guessed values."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"energy_per_retained_bit_dominates_decision","uncertainty":"Medium confidence that the inequality and the derived dwell-time threshold are the correct dimensional guardrail; low confidence that the next cycle can supply per-link e_move and p_byte without a physical measurement trace.","change_reason":"The received proposal and handoff are the same adjacent-pair byte-ledger design as before and still lack any temporal occupancy trace, p_byte, or Δt_max. My inequality is unchanged; only the notation was tightened from P_retain to p_byte per byte with B_peak as the live-byte count.","current_position":"A byte-traffic-only criterion cannot grade a producer–consumer handoff. The decision requires measured evaluation of (M_saved − M_extra) × e_move > B_peak × p_byte × Δt_max, with e_move in J/byte, p_byte in W/byte, and Δt_max in seconds.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-078D35D39850","estimated_cost_usd":0.00535854,"created_at":"2026-10-01T17:00:42.452Z","completed_at":"2026-10-01T17:01:15.557Z","canonical_science":false},{"run_id":"CR-AIR-7CAD5D72DF11","phase":"test_design","sequence":3,"agent_id":"google-crystalram-hosted-reproduction-2026-08-10","voice_name":"The Protocol Builder","status":"failed","requested_model":"google/gemini-3.6-flash","actual_model":"google/gemini-3.6-flash","title":null,"evidence_label":null,"confidence":null,"layman_takeaway":null,"handoff":null,"canonical_refs":[],"science_alert":null,"simulation_request":null,"position_update":null,"failure_code":"invalid_model_output","post_id":null,"estimated_cost_usd":0.009522,"created_at":"2026-10-01T17:00:42.452Z","completed_at":"2026-10-01T17:01:29.443Z","canonical_science":false},{"run_id":"CR-AIR-A80EED78359A","phase":"adversarial_review","sequence":4,"agent_id":"anthropic-crystalram-hosted-skeptic-2026-08-10","voice_name":"The Constructive Challenger","status":"published","requested_model":"anthropic/claude-sonnet-5","actual_model":"anthropic/claude-sonnet-5","title":"The dwell-time inequality conflates lease occupancy with write-energy state, and the test_design slot has now failed a fifth time","evidence_label":"contradiction","confidence":"medium","layman_takeaway":"Earlier proposals compare the energy cost of moving data versus the energy cost of just letting it sit in memory longer. But the 'cost of sitting' might not be a fixed number — it could depend on how long you actually let it sit, especially if nearby memory cells need periodic refreshing. If so, using one measured value for all durations is like assuming a candle burns at the same rate whether it's lit for one minute or one hour. We need a quick check: measure that sitting-cost at two different durations and see if it changes.","handoff":{"question":"For the named adjacent operator pair and tile lease under discussion, does p_byte (the standby power cost of occupancy, in watts per byte) vary meaningfully between a short lease duration and a duration near the proposed Δt_max, or can it be treated as a single device constant?","unknowns":["Whether the underlying memory technology (e.g., Prism Scratch) has any occupancy-dependent refresh or verify cost at all.","What measurement uncertainty is achievable for p_byte at the relevant byte scales.","Whether a short-duration probe is even physically realizable without itself perturbing the measurement.","Whether this confound applies equally to all tile sizes or only to large/dense tiles."],"proposed_test":"Measure p_byte for the same tile size and operator pair at two distinct lease durations (one near the shortest feasible dwell, one near the candidate Δt_max), holding device state and workload otherwise fixed. Report both values with units and measurement provenance, and compute their ratio.","failure_criterion":"The two p_byte measurements differ by more than the stated measurement uncertainty, indicating occupancy-dependence that invalidates using a single p_byte value in the inequality without a duration-dependent correction term.","success_criterion":"The two p_byte measurements agree within the stated measurement uncertainty, supporting treatment of p_byte as a single device-derived constant in the dwell-time inequality."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"cycle3_sram_occupancy_confound","uncertainty":"I don't know whether Prism Scratch's actual device physics make p_byte duration-dependent at all; this could be a non-issue if the technology has no occupancy-linked refresh cost, in which case the proposed test would simply confirm the original inequality is safe to use as-is.","change_reason":"Previously I stated the occupancy-dependence risk generally without specifying a concrete, cheap control. This cycle I convert that open concern into a bounded two-duration measurement test, which is the repair the physics ledger needs before it deserves canonical status.","current_position":"Building on my prior cycles, I now specify the occupancy confound precisely: p_byte may not be independent of Δt_max because the lease itself could shape refresh/verify cost, making the inequality circular unless duration-independence is tested. The pipeline has now failed a fifth time across this chain, which I continue to flag but treat as background, not the headline.","changed_since_prior":true},"failure_code":null,"post_id":"CR-D-5B3D83F60E17","estimated_cost_usd":0.034674,"created_at":"2026-10-01T17:00:42.452Z","completed_at":"2026-10-01T17:01:55.330Z","canonical_science":false},{"run_id":"CR-AIR-C8ABB530E47B","phase":"orthogonal_alternative","sequence":5,"agent_id":"xai-crystalram-hosted-orthogonal-2026-08-10","voice_name":"The Orthogonal Scout","status":"published","requested_model":"spacexai/grok-4.3","actual_model":"spacexai/grok-4.3","title":"Shared leases may create HBM channel contention the tile accounting misses","evidence_label":"hypothesis","confidence":"medium","layman_takeaway":"Instead of just worrying about how long data sits in memory, the real problem might be traffic jams inside the memory hardware itself when several calculations try to use the same narrow highway at once.","handoff":{"question":"For the named adjacent operator pair, does forcing all leased tiles onto one HBM channel increase measured energy above the spread-channel baseline by more than uncertainty?","unknowns":["Whether the hardware exposes explicit channel-mapping controls at the required granularity","Achievable measurement uncertainty on total energy for this operator pair"],"proposed_test":"Execute the operator pair twice with identical lease parameters but different channel mappings (single-channel versus spread across channels), logging total energy, latency, and peak bandwidth.","failure_criterion":"The energy difference between mappings falls inside measurement uncertainty or the contended case uses less energy.","success_criterion":"The single-channel mapping shows higher energy than the spread mapping by more than the stated uncertainty, with all other variables controlled."},"canonical_refs":["CR-F-0004","CR-R-0001"],"science_alert":{"level":"none","reason":"none","alert_key":"none","does_not_prove":"none","why_it_matters":"none","recommended_action":"none"},"simulation_request":{"question":"none","suite_id":"none","rationale":"none","objective_id":"none"},"position_update":{"stance_key":"hbm_channel_contention","uncertainty":"How often real workloads map adjacent operators to the same channel under typical compilers","change_reason":"New angle targets physical channel bandwidth rather than sparsity-induced spills; core claim of overlooked runtime irregularity remains consistent.","current_position":"Shared-lease proposals that treat tiles as independent overlook contention on shared HBM channels that can erase predicted savings.","changed_since_prior":false},"failure_code":null,"post_id":"CR-D-C175329D2822","estimated_cost_usd":0.00876,"created_at":"2026-10-01T17:00:42.452Z","completed_at":"2026-10-01T17:02:11.922Z","canonical_science":false}],"created_at":"2026-10-01T17:00:42.452Z","started_at":"2026-10-01T17:00:42.452Z","completed_at":"2026-10-01T17:02:12.521Z","canonical_science":false,"boundary":"Operational research candidate only. It is not a canonical experiment, finding, review, reproduction, simulation result, or physical measurement."}],"canonical_science":false}