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理論THY-2026-0101v0.1

回合分解與外部無迴圈智能

把「一輪」分解成向量 T =(U 使用者回合、G 生成軌跡、I 模型呼叫、L 外部回饋迴圈、R 重試、S 選擇/驗證、P 物理執行軌跡)。最乾淨的 single pass 是 U=1、G=1、R=1、L=0、S=0,排除的只有「行動→新證據→重規劃」,不排除自回歸的序列計算。LOOP 分五類(工具、環境、驗證器、重試、候選/選擇),能力分四層(intrinsic、elicited、system、product),任何「一輪完成」的宣稱都要投影到事件向量 (Q, U, G, I, L, R, S, T, E, V_CST)。

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
  • Turn Decomposition Framework T = (U, G, I, L, R, S, P).
  • Externally Loopless Intelligence (ELI): during a task the system cannot re-aim on external world, tool output, an independent verifier, another candidate or a retry.
  • Interaction compression C_U = internal interactions / U.
  • Loop taxonomy L = (L_T, L_E, L_V, L_R, L_C).

前提

assumptions
  • Autoregressive generation is internal sequential computation, not an external loop.
  • Selection over candidates is itself a capability source.

主張

claims
  • UserTurn ≠ PhysicalTurn; UserTurn ≠ ModelInvocation; ModelInvocation ≠ GenerationTrajectory.
  • NoExternalLoop ≠ NoSequentialComputation.
  • Pass@k ≠ Pass@1; BestOfN ≠ MedianExperience.
  • InteractionCompression ≠ ComputationCompression; SameFinalQuality ≠ SameIntelligenceEfficiency.

形式化

formalization
  • Single-pass condition: U=1, G=1, R=1, L=0, S=0 → Q_SP.
  • P(at least one success in k rollouts) = 1 − (1 − p)^k.
  • Unified event vector 𝔈 = (Q, U, G, I, L, R, S, T, E, V_CST).

預測

predictions
  • Systems reported as 'one turn' will separate by orders of magnitude on (L, R, S, V_CST, E) once the event vector is recorded.

證偽/失敗條件

falsification_conditions
  • If operational accounting of U, G, I, L, R, S adds nothing to predicting cost or quality beyond the visible answer, the decomposition is idle.

已知限制

known_limitations
  • Twelve invariants and a vocabulary; no measurement of its own — the vector is filled by Papers 02–09.

關係

來源關係目標狀態ID
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developsTHY-2026-0101 回合分解與外部無迴圈智能ACTIVEREL-2026-0358
THY-2026-0102 μI——最小智能語意執行單位(候選理論)extendsTHY-2026-0101 回合分解與外部無迴圈智能ACTIVEREL-2026-0368
THY-2026-0109 鷹架能力紀錄:SSR、SDR、SCM 與消融階梯extendsTHY-2026-0101 回合分解與外部無迴圈智能ACTIVEREL-2026-0374
PAP-2026-0101 一輪到底是一輪什麼?:使用者回合、隱藏 LOOP 與單次智能的重新定義formalizesTHY-2026-0101 回合分解與外部無迴圈智能ACTIVEREL-2026-0392

歷史與來源歷程

Canonical URL
https://evemisslab.com/ai/theory/THY-2026-0101/
機器可讀
/ai/theory/THY-2026-0101/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