{"version":3,"term":{"cols":110,"rows":52},"timestamp":1779128039,"command":"core demo learning-loop","env":{"SHELL":"/bin/zsh"}} [0.178, "o", "\r\n================================================================================\r\n Learning Loop — Cold Turn to Grounded Surface, End-to-End (ADR-0055..0057)\r\n================================================================================\r\n\r\nReference: ADR-0055 (Phase B DiscoveryCandidate emission, Phase A audit\r\n+ provenance), ADR-0056 (Phase C1 contemplation), ADR-0057 (Phase C2\r\nTeachingChainProposal + replay gate + operator review).\r\n\r\nA single deterministic prompt drives every scene:\r\n\r\n \"Why does thought exist?\"\r\n\r\nHeadline claim: CORE, asked a question it cannot ground, emits\r\nstructured evidence that a reviewed chain would have helped. An\r\noperator authors a proposal from that evidence. The replay-\r\nequivalence gate confirms no regression. The operator accepts. The\r\n**same prompt now produces a deterministic teaching-grounded surface**\r\n— replayable, with full provenance back to the operator's accept.\r\n\r\n S1. Cold turn — runtime returns the universal disclosure;\r\n "] [0.000, "o", " grounding_source = none.\r\n S2. Discovery emission — DiscoveryCandidate emitted to the attached\r\n sink; contemplation enriches with pack/\r\n corpus evidence. Active corpus untouched.\r\n S3. Operator proposal — complete chain authored + real replay gate\r\n run + replay_equivalent=True → pending.\r\n S4. Operator accept — accept_proposal writes ONE line to a\r\n transient corpus (copy of active + new\r\n chain). Active corpus byte-identical.\r\n S5. Replay the prompt — _CORPUS_PATH swapped to the transient;\r\n same prompt now teaching-grounded with the\r\n new chain's subject / connective / object.\r\n\r\nTrust boundary:\r\n The demo writes ONLY to a tempdir-scoped transient corpus. The\r\n active teaching corpus on disk is byte-identical pre/post — same\r\n swap pattern the replay-equivalence gate use"] [0.000, "o", "s. No clock-time read.\r\n\r\nWhat to expect:\r\n Per-scene printout with CLAIM, prompt/inputs, outputs, and the\r\n byte-identical-corpus assertion. Final BEFORE / AFTER block shows\r\n the deterministic surface change on the same prompt.\r\n\r\nTest gate:\r\n tests/test_learning_loop_demo.py (7 tests — loop closes, before is\r\n ungrounded, after contains new chain atoms, discovery emits ≥1,\r\n replay gate reports no regression, transient adds exactly 1 line\r\n while active is byte-identical, same prompt drives both surfaces).\r\n\r\nMachine-readable output:\r\n core demo learning-loop --json\r\n================================================================================\r\n"] [0.000, "o", "\r\n"] [1.066, "o", "\r\n────────────────────────────────────────────────────────────────────────\r\n S1. Cold turn — runtime cannot ground the prompt\r\n────────────────────────────────────────────────────────────────────────\r\n CLAIM: Active corpus has no (thought, cause) chain. The runtime falls through to the universal insufficient-grounding disclosure. Identity / safety / ethics gates still run.\r\n\r\n"] [0.005, "o", " prompt : Why does thought exist?\r\n surface : I don't know — insufficient grounding for that yet.\r\n grounding_source : none\r\n discovery candidates : 1 (emitted post-turn)\r\n\r\n────────────────────────────────────────────────────────────────────────\r\n S2. Discovery candidate — structured evidence, not a mutation\r\n────────────────────────────────────────────────────────────────────────\r\n CLAIM: The runtime emits a DiscoveryCandidate (ADR-0055 Phase B) documenting that a reviewed (thought, cause) chain WOULD have grounded this turn. Contemplation (ADR-0056 Phase C1) enriches with pack/corpus evidence pointers. Active corpus is byte-identical — emission writes to the sink on"] [0.000, "o", "ly.\r\n"] [0.000, "o", "\r\n"] [0.000, "o", " candidate_id : 17673a2f15c8da21…\r\n trigger : would_have_grounded\r\n proposed_chain : {'connective': None, 'intent': 'cause', 'object': None, 'subject': 'thought'}\r\n"] [0.000, "o", " polarity : undetermined\r\n"] [0.000, "o", " claim_domain : factual\r\n"] [0.000, "o", " pack_consistent : True\r\n boundary_clean : True\r\n"] [0.000, "o", " evidence (pack-only) : [{'epistemic_status': 'coherent', 'polarity': 'affirms', 'ref': 'thought', 'source': 'pack'}]\r\n\r\n"] [0.000, "o", "────────────────────────────────────────────────────────────────────────\r\n S3. Operator-authored proposal — replay-equivalence gate runs\r\n────────────────────────────────────────────────────────────────────────\r\n CLAIM: From the discovery candidate's evidence, the operator authors a complete chain: thought reveals meaning. Affirming evidence is the existing corpus chain cause_creation_reveals_meaning. The real replay gate (teaching.replay.run_replay_equivalence) runs the cognition public split twice — active corpus vs. transient-with-appended-chain — and reports no regression.\r\n"] [0.000, "o", "\r\n"] [1.849, "o", " proposal_id : 016252428267e4f339969524988c4794\r\n proposed_chain : {'subject': 'thought', 'intent': 'cause', 'connective': 'reveals', 'object': 'meaning'}\r\n evidence (corpus ref) : cause_creation_reveals_meaning\r\n replay baseline : {'intent_accuracy': 1.0, 'surface_groundedness': 1.0, 'term_capture_rate': 0.9167, 'versor_closure_rate': 1.0}\r\n replay candidate : {'intent_accuracy': 1.0, 'surface_groundedness': 1.0, 'term_capture_rate': 0.9167, 'versor_closure_rate': 1.0}\r\n regressed_metrics : []\r\n replay_equivalent : True\r\n state : pending\r\n\r\n"] [0.000, "o", "────────────────────────────────────────────────────────────────────────\r\n S4. Operator accept — transient corpus, active corpus untouched\r\n────────────────────────────────────────────────────────────────────────\r\n CLAIM: accept_proposal writes one JSONL line to a TRANSIENT corpus (copy of active + new chain). The active corpus file bytes are byte-identical pre/post. Provenance on the new entry: adr-0057:discovery_promoted:.\r\n"] [0.000, "o", "\r\n"] [0.001, "o", " appended chain_id : cause_thought_reveals_meaning\r\n transient corpus path : /var/folders/kg/5xbm28qd7jl55j7lv3p001f40000gn/T/learning_loop_demo__5wclh7k/cognition_chains_v1.jsonl\r\n transient lines before : 10\r\n transient lines after : 11\r\n active corpus byte-eq : True\r\n\r\n────────────────────────────────────────────────────────────────────────\r\n"] [0.000, "o", " S5. Same prompt — now deterministically teaching-grounded\r\n────────────────────────────────────────────────────────────────────────\r\n"] [0.000, "o", " CLAIM: With the runtime's corpus path swapped to the transient corpus, the same prompt now returns a teaching-grounded surface containing the operator-accepted chain: thought reveals meaning. Identical bytes for any replay of the same prompt against this corpus state.\r\n"] [0.000, "o", "\r\n"] [0.071, "o", " prompt : Why does thought exist?\r\n surface : thought — teaching-grounded (cognition_chains_v1): cognition.thought; logos.internal. thought reveals meaning (cognition.meaning). No session evidence yet.\r\n grounding_source : teaching\r\n"] [0.000, "o", "\r\n════════════════════════════════════════════════════════════════════════\r\n BEFORE / AFTER (single deterministic prompt, one accept between)\r\n════════════════════════════════════════════════════════════════════════\r\n prompt : Why does thought exist?\r\n before : [none] I don't know — insufficient grounding for that yet.\r\n after : [teaching] thought — teaching-grounded (cognition_chains_v1): cognition.thought; logos.internal. thought reveals meaning (cognition.meaning). No session evidence yet.\r\n"] [0.000, "o", "\r\n"] [0.000, "o", " learning_loop_closed : True\r\n"] [0.000, "o", " active corpus byte-identical : True\r\n\r\n"] [0.014, "x", "0"]