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實驗EXP-2026-0107v0.1

Experiment E——token/FLOPs 代理量失效檢驗(已宣告)

在相同任務品質下用不同語言、冗長度、上下文長度與記憶體壓力執行,比較 token 數、FLOPs、能量、時間、記憶體流量與 N_μ^eff,看 token 與 FLOPs 在哪裡不再追蹤成本與工作。宣告為 v0.2 最後一個實驗;尚未執行。

研究狀態
IDEA 目前只有問題或概念
證據等級
E0 僅有概念
結果
INCONCLUSIVE
資料基礎
NOT RUN 只設計並驗證了 harness,從未用真實模型執行。
版本
0.1
更新
2026-09-02
建立
2026-09-02
領域
Evaluation
計畫
PRG-2026-0101 智能的物理計量(IPM)
作者
Neo.K (EveMissLab)
AI 協作
Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)

假設

hypothesis
F1 and F2: N_μ^eff per token drifts across phrasings/languages, and same-FLOPs executions differ in T, E, B_M, V_M.

程序

procedure
Matched-quality executions varied in language, verbosity, context and memory pressure; record TokenCount, FLOPs, E, T, B_M, N_μ^eff.

執行

run_count
0

詮釋

interpretation
Declared, not run; listed so the program's falsifiable propositions each have their intended test on record.

限制

limitations
  • No protocol package exists yet; the canonical index gives the design in one paragraph.

關係

來源關係目標狀態ID
EXP-2026-0107 Experiment E——token/FLOPs 代理量失效檢驗(已宣告)testsCLM-2026-0101 F1——Token 假說ACTIVEREL-2026-0499
EXP-2026-0107 Experiment E——token/FLOPs 代理量失效檢驗(已宣告)testsCLM-2026-0102 F2——FLOPs 充分性ACTIVEREL-2026-0500

歷史與來源歷程

Canonical URL
https://evemisslab.com/ai/experiments/EXP-2026-0107/
機器可讀
/ai/experiments/EXP-2026-0107/index.json
快照
AI-SNAPSHOT-v0.1-fe85b9694a45
來源歷程
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