{ "id": "RES-2026-0101", "kind": "research", "label": "Execution and physical line — what one answer costs in turns, semantic work, energy and computational spacetime", "created_at": "2026-09-02", "updated_at": "2026-09-02", "values": { "eml_status": "ACTIVE", "eml_evidence_level": "E1", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/research/RES-2026-0101/", "eml_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" }, "eml_summary": "Papers 01–05. Decomposes the chat-interface 'turn' into user turns, generation trajectories, model invocations, external loops, retries, selection and a physical execution trace; proposes the minimum intelligent semantic execution unit μI as the missing middle layer between physical primitives and task achievement; borrows the cross-level, latent-inference, population-coding and causal-perturbation method of neuroscience; types energy as gross / baseline / marginal / attributed with a declared boundary and keeps Landauer as a bound, not a price; and replaces FLOPs with a physical cost vector and a vector-first computational spacetime with its own topology.", "eml_summary_zh": "第 01–05 篇。把聊天介面的「一輪」拆成使用者回合、生成軌跡、模型呼叫、外部 LOOP、重試、選擇與物理執行軌跡；提出最小智能語意執行單位 μI 作為物理原語與任務成果之間缺失的中間層；借用神經科學的跨層、潛變量推斷、群體編碼與因果擾動方法；把能量分型為 gross／baseline／marginal／attributed 並要求宣告邊界，Landauer 只是下界不是價格；並以物理成本向量與「向量優先」的計算時空及其拓撲取代 FLOPs。", "eml_label_zh": "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", "eml_primary_domain": "Computation", "eml_domains": [ "Cognitive Science", "Evaluation" ], "eml_program_id": "PRG-2026-0101", "eml_research_questions": [ "What is the physical unit of 'one turn' once interaction compression is separated from computation compression?", "What does intelligence compute once — if not a token, a FLOP, a neuron activation, a layer or a thought?", "How can a semantic unit that cannot be observed directly be measured the way cognitive neuroscience measures cognition?", "Which Joule is meant — gross, baseline, marginal or attributed — and inside which boundary?", "What is the full physical cost of a computation beyond arithmetic: memory traffic, residency, interconnect, occupancy, time, topology?" ], "eml_claims": [ "One user turn ≠ one model invocation ≠ one generation trajectory ≠ one agent loop ≠ one physical computation; interaction compression is not computation compression.", "Token ≠ μI ≠ FLOP; the minimal unit of intelligent work must sit between semantics and physics and be resolution-relative, not an absolute atom.", "The same observable event type (a spike, a token, a μI) has no fixed energy; energy is a realization distribution conditioned on architecture, hardware, context and boundary.", "FLOPs are one projection; V_C + V_M + V_N + V_S has no physical meaning before normalization — computational spacetime is vector-first, and equal volume is not equal topology." ], "eml_limitations": [ "Pure theory with no MVP; the only measurement so far is device-level GPU telemetry (E-Grade C, CST-B) from a three-task pilot.", "μI remains observer-reconstructed (μI^obs); its approximation to internal semantic units is unproven and graded, not asserted." ], "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/research/RES-2026-0101/", "json": "/ai/research/RES-2026-0101/index.json", "relations": [ { "id": "REL-2026-0353", "predicate": "belongs_to", "source": "RES-2026-0101", "target": "PRG-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0358", "predicate": "develops", "source": "RES-2026-0101", "target": "THY-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0359", "predicate": "develops", "source": "RES-2026-0101", "target": "THY-2026-0102", "status": "ACTIVE" }, { "id": "REL-2026-0360", "predicate": "develops", "source": "RES-2026-0101", "target": "THY-2026-0103", "status": "ACTIVE" }, { "id": "REL-2026-0361", "predicate": "develops", "source": "RES-2026-0101", "target": "THY-2026-0104", "status": "ACTIVE" }, { "id": "REL-2026-0362", "predicate": "develops", "source": "RES-2026-0101", "target": "THY-2026-0105", "status": "ACTIVE" }, { "id": "REL-2026-0356", "predicate": "extends", "source": "RES-2026-0103", "target": "RES-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0380", "predicate": "belongs_to", "source": "CLM-2026-0101", "target": "RES-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0382", "predicate": "belongs_to", "source": "CLM-2026-0102", "target": "RES-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0391", "predicate": "reports", "source": "PAP-2026-0101", "target": "RES-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0395", "predicate": "reports", "source": "PAP-2026-0102", "target": "RES-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0399", "predicate": "reports", "source": "PAP-2026-0103", "target": "RES-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0403", "predicate": "reports", "source": "PAP-2026-0104", "target": "RES-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0407", "predicate": "reports", "source": "PAP-2026-0105", "target": "RES-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0431", "predicate": "reports", "source": "PAP-2026-0111", "target": "RES-2026-0101", "status": "ACTIVE" }, { "id": "REL-2026-0450", "predicate": "supports", "source": "SYS-2026-0101", "target": "RES-2026-0101", "status": "ACTIVE" } ], "snapshot": { "snapshot_id": "AI-SNAPSHOT-v0.1-fe85b9694a45", "created_at": "2026-09-11T05:00:27Z", "format_version": "0.1", "sedb_baseline": "v0.4B contract; static source content/ai/", "generator_version": "evemisslab-com ai_research 0.1", "object_count": 124, "relation_count": 499, "artifact_count": 58 } }