EVEMISSLAB

ClaimCLM-2026-0102v0.1

F2 — FLOPs sufficiency

If FLOPs suffice to describe physical computational cost, then with operations controlled, wall time, energy, memory traffic, interconnect traffic and memory residency should not show large independent variation. If same-FLOPs workloads differ greatly because of memory patterns or topology, a single FLOPs cost model is insufficient.

Research status
PRELIMINARY a first formalisation or observation exists
Evidence level
E0 Concept only
Data basis
THEORY Theoretical reasoning only; no measurement.
Version
0.1
Updated
2026-09-02
Created
2026-09-02
Domain
Evaluation
Program
PRG-2026-0101 Intelligence Physical Metrology (IPM)
Authors
Neo.K (EveMissLab)
AI collaborators
Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)

Recorded fields

falsification_conditions
  • Falsified for FLOPs-sufficiency if T, E, B_M, B_N, V_M vary substantially at fixed FLOPs; supported if they do not.
tags
  • falsifiable proposition
  • IPM v0.1 canonical index §23
  • Paper 10

Relations

SourceRelationTargetStatusID
CLM-2026-0102 F2 — FLOPs sufficiencybelongs_toRES-2026-0101 Execution and physical line — what one answer costs in turns, semantic work, energy and computational spacetimeACTIVEREL-2026-0382
THY-2026-0110 The canonical intelligence event, Pareto comparison and no premature scalarizationcontainsCLM-2026-0102 F2 — FLOPs sufficiencyACTIVEREL-2026-0383
PAP-2026-0111 IPM v0.1 canonical index — series overview, unified notation and the v0.2 experimental entry pointformalizesCLM-2026-0102 F2 — FLOPs sufficiencyACTIVEREL-2026-0437
PAP-2026-0110 Paper 10 — How much physical world does an answer cost? A unified metrology framework for intelligence yieldformalizesCLM-2026-0102 F2 — FLOPs sufficiencyACTIVEREL-2026-0438
EXP-2026-0106 Experiment D — physical trace alignment (declared)testsCLM-2026-0102 F2 — FLOPs sufficiencyACTIVEREL-2026-0496
EXP-2026-0107 Experiment E — token / FLOPs proxy failure test (declared)testsCLM-2026-0102 F2 — FLOPs sufficiencyACTIVEREL-2026-0500

History and provenance

Canonical URL
https://evemisslab.com/ai/claims/CLM-2026-0102/
Machine-readable
/ai/claims/CLM-2026-0102/index.json
Snapshot
AI-SNAPSHOT-v0.1-fe85b9694a45
Provenance
source
EveMissLab research collection: Intelligence Physical Metrology (真本體論13)
extracted_by
Splice (Claude Code), reading the canonical UTF-8 sources and each package's own reports
extracted_at
2026-09-11
generator
tools/extract_all.py
claim_boundary
status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports