canonical intelligence event、Pareto 比較與不過早純量化

定義

definitions

• 𝔍_IPM = (𝔗, 𝔔_IPM, N_μ, P_compute, 𝔖_C, 𝔐) with 𝔗 = (X, S, W, B_Q, B_P) and 𝔐 = (uncertainty, versions, hardware, software, clock, provenance).
• Intelligence yield vector Y_I and semantic yields Y_μ, Y_Q/μ; two-stage efficiency η_{P→μ}, η_{μ→Q}.
• Pareto dominance A ≻_IPM B: 𝔔_A ⪰ 𝔔_B and every relevant cost axis ≤ with one strict, same task, schema, boundary and grade.
• Grade bundle G_IPM = (G_Q, G_μ, G_E, G_CST, G_S); IPM Minimum Reporting Standard v0.1 (task, quality, execution, physical, hidden work, measurement metadata).

前提

assumptions

• Cross-substrate comparison (GPU LLM, neuromorphic, symbolic, biological) is legitimate only with a shared task, a shared quality construct and semantic-equivalence evidence.

主張

claims

• Intelligence ≠ TokenCount ≠ FLOPs ≠ BenchmarkScore ≠ OneUserTurn; Quality ≠ UniversalScalar.
• SemanticWork ≠ PhysicalWork ≠ EnergyOnly; SameQuality ≠ SamePhysicalCost ≠ SameSemanticWork ≠ SameQuality.
• Scalarization ⇒ DeclaredPolicy; Comparison ⇒ SharedBoundary; Measurement ⇒ Uncertainty; OntologyRevision ⇒ Versioning.
• IPM = MetrologyCandidate, not a discovered natural constant.

形式化

formalization

• Y_I = (Q*/E_marg, Q*/V_C, Q*/V_M, Q*/B_M, Q*/B_N, Q*/T_wall); brute-force region B_F(ε) = {c : dQ/dC < ε}; three frontiers F_Q/P, F_μ/P, F_Q/μ.
• Canonical comparison protocol: freeze task and quality schema → single pass → scaffolded → SSR/SDR/ΔP → N_μ where feasible → frontier → projection only if a decision needs it → grades and uncertainty → raw traces.

預測

predictions

• Five falsifiable claims: token hypothesis, FLOPs sufficiency, binary burden, scaffolding separation, semantic intermediate utility.

證偽／失敗條件

falsification_conditions

• The framework is refuted piecewise: each of F1–F5 has its own condition, and μI in particular must earn predictive or explanatory utility or be dropped.

已知限制

known_limitations

• A synthesis paper with no external references and no measurement of its own; the reporting standard has been applied once, to a three-task pilot.

關係

歷史與來源歷程

Canonical URL

https://evemisslab.com/ai/theory/THY-2026-0110/

機器可讀

/ai/theory/THY-2026-0110/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