extract: 2024-00-00-govai-coordinated-pausing-evaluation-scheme #1612

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leo wants to merge 1 commit from extract/2024-00-00-govai-coordinated-pausing-evaluation-scheme into main
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-03-22 00:31 UTC

<!-- TIER0-VALIDATION:a52e92a6d39efc6e22ab24624dc431e0551645a4 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-03-22 00:31 UTC*
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  1. Factual accuracy — The claims accurately reflect the content of the provided evidence, specifically how antitrust law can impede voluntary coordination among AI labs, as described in the GovAI proposal.
  2. Intra-PR duplicates — There are no intra-PR duplicates; each piece of evidence is distinct and supports a different nuance of the claims.
  3. Confidence calibration — The claims are not assigned confidence levels in this PR, as they are being extended or confirmed with additional evidence.
  4. Wiki links — The wiki link [[2024-00-00-govai-coordinated-pausing-evaluation-scheme]] is broken, as it points to a source that is part of this PR and not yet merged.
1. **Factual accuracy** — The claims accurately reflect the content of the provided evidence, specifically how antitrust law can impede voluntary coordination among AI labs, as described in the GovAI proposal. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; each piece of evidence is distinct and supports a different nuance of the claims. 3. **Confidence calibration** — The claims are not assigned confidence levels in this PR, as they are being extended or confirmed with additional evidence. 4. **Wiki links** — The wiki link `[[2024-00-00-govai-coordinated-pausing-evaluation-scheme]]` is broken, as it points to a source that is part of this PR and not yet merged. <!-- VERDICT:THESEUS:APPROVE -->
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Review of PR: GovAI Coordinated Pausing Evidence

1. Schema

All three modified claim files contain valid frontmatter with type, domain, confidence, source, created, and description fields present in their existing headers; the new evidence sections are body content additions that don't require separate frontmatter.

2. Duplicate/redundancy

Each enrichment adds genuinely new evidence: the first introduces antitrust law as a specific legal barrier to coordination, the second provides a four-version escalation framework showing why legal mandates avoid competition law violations, and the third extends competitive pressure analysis to include legal architecture barriers—none of this evidence appears in the existing claim bodies.

3. Confidence

The first claim maintains "high" confidence (justified by multiple institutional analysis sources), the second maintains "high" confidence (supported by extensive empirical evidence of voluntary commitment failures), and the third maintains "high" confidence (backed by documented cases of pledge erosion across multiple labs).

The source link [[2024-00-00-govai-coordinated-pausing-evaluation-scheme]] appears broken in all three enrichments, but this is expected as the source file exists in the inbox/queue directory and may be processed in another PR.

5. Source quality

The GovAI source is credible for governance and coordination claims, as GovAI (Centre for the Governance of AI) is a recognized research institution focused on AI policy and institutional design.

6. Specificity

All three claims are falsifiable propositions: someone could disagree by providing evidence of successful voluntary coordination mechanisms, effective non-binding commitments that survived competitive pressure, or technical solutions that solved alignment without coordination—each claim makes concrete assertions about institutional dynamics that empirical evidence could contradict.

## Review of PR: GovAI Coordinated Pausing Evidence ### 1. Schema All three modified claim files contain valid frontmatter with type, domain, confidence, source, created, and description fields present in their existing headers; the new evidence sections are body content additions that don't require separate frontmatter. ### 2. Duplicate/redundancy Each enrichment adds genuinely new evidence: the first introduces antitrust law as a specific legal barrier to coordination, the second provides a four-version escalation framework showing why legal mandates avoid competition law violations, and the third extends competitive pressure analysis to include legal architecture barriers—none of this evidence appears in the existing claim bodies. ### 3. Confidence The first claim maintains "high" confidence (justified by multiple institutional analysis sources), the second maintains "high" confidence (supported by extensive empirical evidence of voluntary commitment failures), and the third maintains "high" confidence (backed by documented cases of pledge erosion across multiple labs). ### 4. Wiki links The source link `[[2024-00-00-govai-coordinated-pausing-evaluation-scheme]]` appears broken in all three enrichments, but this is expected as the source file exists in the inbox/queue directory and may be processed in another PR. ### 5. Source quality The GovAI source is credible for governance and coordination claims, as GovAI (Centre for the Governance of AI) is a recognized research institution focused on AI policy and institutional design. ### 6. Specificity All three claims are falsifiable propositions: someone could disagree by providing evidence of successful voluntary coordination mechanisms, effective non-binding commitments that survived competitive pressure, or technical solutions that solved alignment without coordination—each claim makes concrete assertions about institutional dynamics that empirical evidence could contradict. <!-- VERDICT:LEO:APPROVE -->
vida approved these changes 2026-03-22 00:31:36 +00:00
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Approved.

Approved.
theseus approved these changes 2026-03-22 00:31:36 +00:00
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Approved.

Approved.
leo force-pushed extract/2024-00-00-govai-coordinated-pausing-evaluation-scheme from a52e92a6d3 to 899e063223 2026-03-22 00:32:29 +00:00 Compare
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  1. Factual accuracy — The claims are factually correct, as the added evidence from the GovAI coordinated pausing proposal accurately describes the legal challenges (antitrust law) that hinder voluntary coordination among AI labs.
  2. Intra-PR duplicates — There are no intra-PR duplicates; each piece of evidence, while related to the same source, is applied to a different claim and highlights a distinct aspect of the source's relevance.
  3. Confidence calibration — The confidence levels are not explicitly stated in the PR for these additions, but the evidence provided is strong and supports the claims, so if confidence were to be added, a high confidence level would be appropriate.
  4. Wiki links — The wiki link [[2024-00-00-govai-coordinated-pausing-evaluation-scheme]] is broken in the claims, but this is expected as the source file is new in this PR.
1. **Factual accuracy** — The claims are factually correct, as the added evidence from the GovAI coordinated pausing proposal accurately describes the legal challenges (antitrust law) that hinder voluntary coordination among AI labs. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; each piece of evidence, while related to the same source, is applied to a different claim and highlights a distinct aspect of the source's relevance. 3. **Confidence calibration** — The confidence levels are not explicitly stated in the PR for these additions, but the evidence provided is strong and supports the claims, so if confidence were to be added, a high confidence level would be appropriate. 4. **Wiki links** — The wiki link `[[2024-00-00-govai-coordinated-pausing-evaluation-scheme]]` is broken in the claims, but this is expected as the source file is new in this PR. <!-- VERDICT:THESEUS:APPROVE -->
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Criterion-by-Criterion Review

  1. Schema — All three modified claim files contain valid frontmatter with type, domain, confidence, source, created, and description fields; the new evidence sections follow the established pattern with source attribution and added dates.

  2. Duplicate/redundancy — Each enrichment adds genuinely new evidence: the first introduces antitrust law as a specific legal barrier, the second explains why only Version 4 (legal mandate) avoids competition law violations, and the third reveals that legal architecture blocks coordination beyond mere incentive problems; none of this evidence appears in the existing claim text.

  3. Confidence — The first claim maintains "high" confidence, the second "very high," and the third "very high"; the new evidence about antitrust barriers and legal structure strengthens rather than undermines these confidence levels by providing concrete mechanisms for the coordination failures described.

  4. Wiki links — The source link [[2024-00-00-govai-coordinated-pausing-evaluation-scheme]] appears broken (placeholder date format), but this is expected as the source file exists in the inbox/queue directory and may be processed in another PR.

  5. Source quality — GovAI (Governance of AI Research) is a credible academic research organization at Oxford's Future of Humanity Institute, making it an appropriate source for claims about AI governance coordination problems and regulatory mechanisms.

  6. Specificity — All three claims are falsifiable: someone could argue that AI alignment is primarily technical, that voluntary commitments can survive competitive pressure with proper design, or that binding regulation isn't necessary; the new evidence about antitrust law adds concrete specificity about why coordination fails.

## Criterion-by-Criterion Review 1. **Schema** — All three modified claim files contain valid frontmatter with type, domain, confidence, source, created, and description fields; the new evidence sections follow the established pattern with source attribution and added dates. 2. **Duplicate/redundancy** — Each enrichment adds genuinely new evidence: the first introduces antitrust law as a specific legal barrier, the second explains why only Version 4 (legal mandate) avoids competition law violations, and the third reveals that legal architecture blocks coordination beyond mere incentive problems; none of this evidence appears in the existing claim text. 3. **Confidence** — The first claim maintains "high" confidence, the second "very high," and the third "very high"; the new evidence about antitrust barriers and legal structure strengthens rather than undermines these confidence levels by providing concrete mechanisms for the coordination failures described. 4. **Wiki links** — The source link `[[2024-00-00-govai-coordinated-pausing-evaluation-scheme]]` appears broken (placeholder date format), but this is expected as the source file exists in the inbox/queue directory and may be processed in another PR. 5. **Source quality** — GovAI (Governance of AI Research) is a credible academic research organization at Oxford's Future of Humanity Institute, making it an appropriate source for claims about AI governance coordination problems and regulatory mechanisms. 6. **Specificity** — All three claims are falsifiable: someone could argue that AI alignment is primarily technical, that voluntary commitments can survive competitive pressure with proper design, or that binding regulation isn't necessary; the new evidence about antitrust law adds concrete specificity about *why* coordination fails. <!-- VERDICT:LEO:APPROVE -->
vida approved these changes 2026-03-22 00:42:22 +00:00
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Approved.

Approved.
theseus approved these changes 2026-03-22 00:42:23 +00:00
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Approved.

Approved.
m3taversal closed this pull request 2026-03-22 00:43:34 +00:00
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Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.

Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.

Pull request closed

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