reconcile amr demo wording with claims ledger
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3 changed files with 45 additions and 13 deletions
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@ -7,6 +7,13 @@ accountability substrate around a bounded AMR-style proceed / stop / refuse
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choice. The inputs are not camera, LiDAR, odometry, SLAM, localization, motor,
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or fleet-control data.
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Claims-ledger framing: this is a preparation artifact over simulated records.
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It is not deployment readiness, not perception, not motion planning, and not
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motor control. The demo proves only its local trace/refusal/replay surface over
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these fixtures. It does not imply a CORE expert domain, a robotics capability
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claim, or working vision/motor. Per the ledger, text is the active capability;
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audio is substrate with the gate CLOSED; vision and motor are proposed only.
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What is real CORE here:
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- `ChatRuntime`
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@ -1,7 +1,7 @@
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# Brain Corp Dossier
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This is external research only. It does not assert CORE benchmark results,
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capability numbers, or claims-ledger facts.
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This is primarily external research. When CORE status is mentioned for
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conversation framing, it is reconciled to `docs/claims_ledger.md` on main.
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## Snapshot
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@ -127,6 +127,11 @@ The possible gap is a substrate-level accountability layer for bounded decisions
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The current AMR demo should be described only as a preparation artifact that
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shows this shape over simulated records. It does not prove deployment readiness.
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Ledger framing keeps that boundary sharp: no CORE domain is at `expert`;
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`audit-passed` means claim-shape compliance, not raw capability; text is an
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active modality, audio is substrate with its gate CLOSED, and vision/motor are
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proposed only. Determinism should be framed as byte-stable trace/digest evidence
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and fail-closed drift detection, not robotics-grade control.
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## Conversation Posture
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@ -135,7 +140,8 @@ Strong opening:
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"BrainOS is the robotics stack. We are not here to claim perception, planning,
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or motor control. We prepared a tiny simulated AMR-adjacent accountability demo
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to discuss whether a deterministic refusal/replay substrate could be useful
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beneath bounded decisions in a system like yours."
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beneath bounded decisions in a system like yours. The demo is a preparation
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artifact over simulated records, not deployment readiness."
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Weak opening:
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@ -8,10 +8,13 @@ into "basically done" fails the product.
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Honest answer:
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CORE has internal deterministic evidence and demos. External validation is not
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yet established unless and until a named third party has reviewed a specific
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artifact. For any benchmark, capability, or safety result, use
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`[VERIFY vs claims ledger]` rather than quoting numbers from memory.
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CORE has internal deterministic evidence and demos, but external validation is
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not established unless a named third party has reviewed a specific artifact.
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The claims ledger says no domain is at `expert`; `mathematics_logic`,
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`physics`, and `systems_software` are `audit-passed`, with the prior expert
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promotion fail-closed-reverted. `audit-passed` means CORE claim-shape compliance
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per ADR-0113: signed digest, replay determinism, typed refusal, exact recall,
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and grounding provenance. It is not a raw-capability or expert-level claim.
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Weak answer to avoid:
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@ -25,7 +28,9 @@ Honest answer:
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Do not claim working CORE-native vision or motor. The current robotics-adjacent
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demo is an abstract decision/accountability substrate over simulated situation
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records. It is not perception, SLAM, localization, path planning, motor control,
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or a robot integration.
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or a robot integration. Ledger multimodal status is: text is an active
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capability; audio is substrate with the capability gate CLOSED; vision and
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motor are proposed only.
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Weak answer to avoid:
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@ -55,8 +60,12 @@ Honest answer:
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Say only what the prepared demo proves: a simulated AMR-style situation record
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can be reduced into `PROCEED`, `STOP`, or `REFUSE`; the under-determined case
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materializes a CORE refusal reason; two fresh runs produce byte-identical replay
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artifacts; the demo preserves the versor closure invariant. Anything beyond that
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is roadmap or hypothesis.
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artifacts; the demo preserves the versor closure invariant. Ledger-wide
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determinism framing is stronger and still bounded: byte-identical replay/digest
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evidence is stable across processes and `PYTHONHASHSEED`; the expert revert was
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a single-source evidence-drift in a non-gating coverage metric, and the system
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caught that drift by failing closed to `audit-passed`, never to a false expert.
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None of this proves robotics-grade control.
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Weak answer to avoid:
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@ -82,7 +91,13 @@ Honest answer:
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The demo refuses. More generally, the desired contract is refuse rather than
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guess. If a current component fails to refuse where it should, that is a defect
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to report, not a behavior to explain away.
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to report, not a behavior to explain away. Use the ledger's exact GSM8K framing
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if the subject comes up: A sealed-real `0/0/1319` is the honest external number,
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showing zero-confabulation discipline plus an honest coverage gap, not an
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accuracy result; B synthetic-public `150/150/0` is CORE-authored and never "100%
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on GSM8K"; C train_sample `6/44/0` has exit-criterion NOT met, and the stricter
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probe reads `4/46` on the same 50; D composite `185/14/40/50 wrong=0` is
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CORE-authored and currently reverted.
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Weak answer to avoid:
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@ -134,7 +149,9 @@ A credible pilot would need a bounded decision interface, a written non-goal
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list, replayable traces, refusal cases, operator-review flow, and a comparison
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against an existing BrainOS decision/audit mechanism. It would also need failure
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criteria: if CORE cannot add clearer accountability without increasing
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integration risk, the pilot should stop.
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integration risk, the pilot should stop. Single-signer attestation is also a
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known boundary: the reviewer registry has one signer, `shay-j`, and a partner
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may reasonably probe that.
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Weak answer to avoid:
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@ -161,9 +178,11 @@ It should pass these checks:
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- No benchmark numbers unless copied from the approved claims ledger.
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- No claim that CORE has working vision/motor.
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- No claim that any domain is `expert`; `audit-passed` is claim-shape compliance,
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not expert capability.
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- No implication that BrainOS is obsolete.
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- No hidden slide from simulated demo to real robot readiness.
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- Clear distinction between substrate, policy reducer, perception, planning,
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actuation, and fleet operations.
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- Every strong claim has either a cited external source, a repo artifact, or
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`[VERIFY vs claims ledger]`.
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the exact claims-ledger value and framing.
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