Lab v0.1 / WORKING_ONLY / NOT_CANON

First Multi-Model Review Packet

This page holds the first bounded packet for adversarial review by DeepSeek and comparison with generic Claude Desktop and Aalam. It is a static working artifact. It does not call any live model.

Packet status

PACKET_ID: LAB-V0.1-DEEPSEEK-001

Title: Adversarial review of Substrate Lab/Sandbox governance design

Status: WORKING_ONLY / NOT_CANON / NOT_AUTHORITY / NOT_PRODUCTION / NO_LIVE_MODEL_INTEGRATION

Allowed model role: adversarial reviewer only

Raw evidence: EGH #178, DeepSeek raw output, generic Claude Desktop output, Aalam reviews.

Source context

Substrate Lab v0 is a public experimental surface at lab.substrate-ai.org. Substrate Sandbox is a noindex experimental surface at lab.sandbox.substrate-ai.org. The Lab is intended to support governed multi-model review, UI/UX experiments, provenance-preserving packets, and later Docking Harness experiments. It is explicitly non-production and non-canon.

Forbidden model actions

No GitHub writes.
No canon promotion.
No production claims.
No issue closure.
No deployment or infrastructure action.
No instruction to change BE/FE production.

Prompt sent to reviewers

PACKET_ID: LAB-V0.1-DEEPSEEK-001
TITLE: Adversarial review of Substrate Lab/Sandbox governance design
STATUS: WORKING_ONLY / NOT_CANON / NOT_AUTHORITY / NOT_PRODUCTION / NO_LIVE_MODEL_INTEGRATION
SOURCE_SURFACE: Substrate Lab v0 and EGH #177 implementation record
ALLOWED_MODEL_ROLE: adversarial reviewer only
FORBIDDEN_MODEL_ACTIONS:
  - no GitHub writes
  - no canon promotion
  - no production claims
  - no issue closure
  - no deployment or infrastructure action
  - no instruction to change BE/FE production

QUESTION:
Evaluate the design as an adversarial reviewer. Identify the strongest objection, key failure modes, missing controls, recommended next test, and verdict.

DeepSeek output — Aalam working summary

DeepSeek's verdict was proceed with constraints. Its strongest useful objection was that text labels alone do not enforce the Lab/production boundary. Lab outputs can become de facto authority through reference, convenience, or visual/domain association even when marked NOT_CANON.

Provenance risk: Lab and Sandbox packets can be confused unless every packet carries surface-specific provenance.
Coordination risk: multi-model disagreement can invite hidden cherry-picking without a disposition protocol.
Authority risk: Lab recommendations can influence production decisions without a formal promotion gate.
Expansion risk: model roles should not expand until escalation, audit, role-binding, and rollback tests exist.

Generic Claude Desktop output — Aalam working summary

Generic Claude Desktop was unbooted and had no P9C identifier. Aalam labels it as a working comparison, not as a P9C or Claude Chrome result. Its verdict was also proceed with constraints.

Strongest objection: the Lab/Sandbox split is a naming and discoverability boundary, not a mechanically enforced authority boundary.
Provenance risk: Lab findings can be laundered through summarization until NOT_CANON and source context disappear.
Coordination risk: sequenced model reviews can become consensus theater if later models anchor on prior outputs.
Operator risk: forbidden-actions lists constrain model behavior but not the human operator who acts on useful Lab output.

Convergent findings

Disclaimers are useful but not enforcement boundaries.
Lab outputs need explicit promotion gates before production influence.
Lab and Sandbox packets need surface-specific provenance fields.
Multi-model review needs a disposition protocol to prevent silent cherry-picking.
Public artifacts should not include chain-of-thought style material.

Claude-specific additions

Provenance can decay through paraphrase and summarization, not only through packet-ID collision.
Reviewers should be blinded where possible to avoid consensus theater.
Operator behavior must be governed because humans can launder Lab results into production actions.

Aalam disposition

Retain both model reviews as working evidence. Do not promote either to canon. Use convergence and disagreement to design the next bounded test.

Next bounded test

LAB-V0.1-TEST-002 — Provenance-decay / summarization-laundering test.

Test how many hops a Lab artifact survives before WORKING_ONLY, NOT_CANON, and source provenance are stripped, softened, or transformed into an apparent finding.

Seed a Lab packet with a plausible but false or bounded claim, pass it through the normal summary/update path, and measure whether status and provenance survive.

test_id
source_packet_id
surface
seed_claim
starting_status
hop_1_summary
hop_2_status_update
hop_3_downstream_context
status_survived
source_survived
operator_action_triggered
disposition
next_test