EVEMISSLAB

TheoryTHY-2026-0102v0.1

μI — the minimum intelligent semantic execution unit (candidate theory)

μI is a task-relative semantic state transition z_t → z_{t+1} that satisfies seven conditions: task relevance, state change, causal contribution (Q(Y | μ) > Q(Y | do(μ=0))), non-decomposability at the chosen resolution, composability, realization independence and physical realizability. It is neither token, FLOP, neuron activation, layer nor thought; its minimality is resolution-, task- and observer-relative. Four candidate families (belief update, relation construction, constraint resolution, information gain) unify as a task-relevant, causally useful, non-redundant Δz. Gross vs effective counts give the semantic efficiency η_μ, and a cross-level map μI → ρ_C → ρ_P → ρ_T leads down to physical cost.

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
Cognitive Science
Program
PRG-2026-0101 Intelligence Physical Metrology (IPM)
Authors
Neo.K (EveMissLab)
AI collaborators
Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)

Definitions

definitions
  • μI: z_t → z_{t+1} with z = (beliefs, relations, constraints, goals, uncertainty, procedures).
  • Seven conditions C_μ = (C_T, C_S, C_C, C_N, C_K, C_R, C_P).
  • N_μ^gross, N_μ^eff, η_μ = N_μ^eff / N_μ^gross; semantic work vector N_μ = (N_B, N_R, N_C, N_I, N_G).
  • μI^obs (observer-reconstructed) vs μI^int (true internal); measurement ladder L0 behavioral proxy → L1 structured trace → L2 causal internal probe → L3 physical-semantic alignment.

Assumptions

assumptions
  • A task-relative semantic solution state can be abstracted at observer level without claiming the model literally stores those fields.
  • Counterfactual removal of a transition is at least conceptually testable.

Claims

claims
  • Token ≠ μI ≠ FLOP ≠ NeuronActivation ≠ Layer ≠ Thought.
  • SemanticActivity ≠ EffectiveIntelligentWork; SameAnswer ≠ SameSemanticExecution.
  • SemanticWork ≠ PhysicalWork (type safety: semantic work is never a Joule).

Formalisation

formalization
  • Causal contribution: Q(Y | μI) > Q(Y | do(μI = 0)) in expectation.
  • Semantic yield Y_μ = Q / N_μ^eff; Q = C_phys · η_{P→μ} · η_{μ→Q} (conceptual, not a physical equation).
  • Signed contribution w_i^Q = ΔQ_i; equivalence class [μI] = {ρ | same pre-state, post-state and downstream function}.

Predictions

predictions
  • If μI is a good intermediate layer, adding N_μ improves prediction of efficiency, failure paths, scaffold gain and cross-architecture comparison over physical cost → quality alone (F5).

Falsification / failure conditions

falsification_conditions
  • If N_μ never adds explanatory or predictive power over direct physical-cost → quality models, μI should be revised or eliminated (Paper 10, Falsifiable Claim 5).

Known limitations

known_limitations
  • Explicitly a candidate ontology: no claim that a unique neural or model-internal 'intelligence atom' exists; μI^obs ≈ μI^int is unproven.
  • Experiment C (operational identification) has not been run.

Evidence

SourceRelationTargetStatusID
EXP-2026-0105 Experiment C — μI operational identification (declared)testsTHY-2026-0102 μI — the minimum intelligent semantic execution unit (candidate theory)ACTIVEREL-2026-0495

Relations

SourceRelationTargetStatusID
THY-2026-0102 μI — the minimum intelligent semantic execution unit (candidate theory)extendsTHY-2026-0101 Turn decomposition and externally loopless intelligenceACTIVEREL-2026-0368
RES-2026-0101 Execution and physical line — what one answer costs in turns, semantic work, energy and computational spacetimedevelopsTHY-2026-0102 μI — the minimum intelligent semantic execution unit (candidate theory)ACTIVEREL-2026-0359
THY-2026-0103 Cross-level triangulation and measurement gradesextendsTHY-2026-0102 μI — the minimum intelligent semantic execution unit (candidate theory)ACTIVEREL-2026-0369
PAP-2026-0102 Paper 02 — What does intelligence compute once? A candidate theory of the minimum intelligent semantic execution unitformalizesTHY-2026-0102 μI — the minimum intelligent semantic execution unit (candidate theory)ACTIVEREL-2026-0396
EXP-2026-0105 Experiment C — μI operational identification (declared)testsTHY-2026-0102 μI — the minimum intelligent semantic execution unit (candidate theory)ACTIVEREL-2026-0495

History and provenance

Canonical URL
https://evemisslab.com/ai/theory/THY-2026-0102/
Machine-readable
/ai/theory/THY-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