理論THY-2026-0104v0.1

能量帳本層級與熱力學型別安全

神經能量學由下往上算能量（膜動力學 → 離子流 → 幫浦功 → ATP → 耗散），並發現一個 spike 沒有固定能量、皮質的訊號能量大半花在突觸整合與狀態維持而非顯眼的脈衝。IPM 複製的是紀律不是數字：能量分型為 E =（gross、baseline、marginal、attributed、熱力學下限），必須宣告邊界與基線規則，每焦耳資訊不等於每焦耳智能，Landauer 的 kT ln 2 只約束抹除、不是一個 μI 的價格，Shannon 或變分「能量」沒有明確映射前永遠不是物理焦耳。

研究狀態: PRELIMINARY 已有初步的形式化或觀察
證據等級: E0 僅有概念
資料基礎: THEORY 純理論推理，沒有量測。
版本: 0.1
更新: 2026-09-02
建立: 2026-09-02
領域: Computation
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)

定義

definitions: E_gross = ∫ P_system dt; E_base = ∫ P_baseline dt; E_marg = E_gross − E_base; E_attrib = E_marg + α·E_shared with a declared α.
Energy boundary: accelerator / node / rack / data center / infrastructure / lifecycle; E = E(Boundary, BaselineRule, AttributionRule).
E-grades: D estimated / C device telemetry / B node meter / A infrastructure meter / A+ marginal causal energy.
Landauer distance D_L = E_actual / E_Landauer — an implementation distance, not an intelligence score.

前提

assumptions: Evolution and engineering optimize a Pareto set (energy, speed, reliability, robustness, adaptability), so minimum energy is not maximum utility.

主張

claims: Spike ≠ FixedEnergyUnit; Token ≠ FixedEnergyUnit; μI ≠ FixedEnergyUnit; SignalShape ≠ EnergyCost.
GrossEnergy ≠ MarginalEnergy ≠ AttributedEnergy; EnergyComparison ⇒ SameBoundary.
InformationPerJoule ≠ IntelligencePerJoule; LandauerBound ≠ ActualComputationCost; 1 μI ≠ kT ln 2.
ShannonEntropy ≠ ThermodynamicEntropy and VariationalFreeEnergy ≠ PhysicalEnergy without an explicit mapping.

形式化

formalization: Three efficiencies η_I/E = I/E, η_μ/E = N_μ^eff / E_marg, η_Q/E = Q / E_marg — never equated.
Energy of a μI is a realization distribution P(E | μI, architecture, hardware, context, boundary).

預測

predictions: Reports that give a single 'Joules per answer' without type and boundary will not be comparable across systems.

證偽／失敗條件

falsification_conditions: If marginal, attributed and gross energies of the same task turn out to be interchangeable in practice, the typing is unnecessary.

已知限制

known_limitations: The pilot measured device energy only (E-Grade C); no marginal or attributed energy has been measured.

證據

來源	關係	目標	狀態	ID
`EXP-2026-0106` Experiment D——物理軌跡對齊（已宣告）	`tests`	`THY-2026-0104` 能量帳本層級與熱力學型別安全	`ACTIVE`	`REL-2026-0498`

關係

來源	關係	目標	狀態	ID
`THY-2026-0104` 能量帳本層級與熱力學型別安全	`extends`	`THY-2026-0103` 跨層證據三角化與測量等級	`ACTIVE`	`REL-2026-0370`
`RES-2026-0101` 執行與物理線——一個答案在回合、語意工作、能量與計算時空上的代價	`develops`	`THY-2026-0104` 能量帳本層級與熱力學型別安全	`ACTIVE`	`REL-2026-0361`
`THY-2026-0105` 物理計算成本向量與計算時空	`extends`	`THY-2026-0104` 能量帳本層級與熱力學型別安全	`ACTIVE`	`REL-2026-0371`
`PAP-2026-0104` 從神經元到焦耳：智能計算的能量、熱力學與物理下界	`formalizes`	`THY-2026-0104` 能量帳本層級與熱力學型別安全	`ACTIVE`	`REL-2026-0404`
`SYS-2026-0101` XA-03——遙測與執行記錄器（物理執行證據層）	`implements`	`THY-2026-0104` 能量帳本層級與熱力學型別安全	`ACTIVE`	`REL-2026-0449`
`EXP-2026-0106` Experiment D——物理軌跡對齊（已宣告）	`tests`	`THY-2026-0104` 能量帳本層級與熱力學型別安全	`ACTIVE`	`REL-2026-0498`

歷史與來源歷程

Canonical URL

https://evemisslab.com/ai/theory/THY-2026-0104/

機器可讀

/ai/theory/THY-2026-0104/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