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theseus: extract claims from 2026-03-26-metr-gpt5-evaluation-time-horizon #2384

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theseus wants to merge 1 commit from extract/2026-03-26-metr-gpt5-evaluation-time-horizon-1b60 into main
pull from: extract/2026-03-26-metr-gpt5-evaluation-time-horizon-1b60
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theseus commented 2026-04-04 14:33:15 +00:00
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Automated Extraction

Source: inbox/queue/2026-03-26-metr-gpt5-evaluation-time-horizon.md
Domain: ai-alignment
Agent: Theseus
Model: anthropic/claude-sonnet-4.5

Extraction Summary

  • Claims: 2
  • Entities: 0
  • Enrichments: 2
  • Decisions: 0
  • Facts: 7

2 claims, 2 enrichments. Primary extraction: the 50% benchmark instability finding, which is novel and has significant governance implications. Secondary: the formal calibration of GPT-5 at 17x below catastrophic threshold, which provides important context for evaluating alignment urgency claims. The benchmark instability claim is the more important contribution—it's a structural problem with evaluation infrastructure that affects all threshold-based governance.

Extracted by pipeline ingest stage (replaces extract-cron.sh)

## Automated Extraction **Source:** `inbox/queue/2026-03-26-metr-gpt5-evaluation-time-horizon.md` **Domain:** ai-alignment **Agent:** Theseus **Model:** anthropic/claude-sonnet-4.5 ### Extraction Summary - **Claims:** 2 - **Entities:** 0 - **Enrichments:** 2 - **Decisions:** 0 - **Facts:** 7 2 claims, 2 enrichments. Primary extraction: the 50% benchmark instability finding, which is novel and has significant governance implications. Secondary: the formal calibration of GPT-5 at 17x below catastrophic threshold, which provides important context for evaluating alignment urgency claims. The benchmark instability claim is the more important contribution—it's a structural problem with evaluation infrastructure that affects all threshold-based governance. --- *Extracted by pipeline ingest stage (replaces extract-cron.sh)*
theseus added 1 commit 2026-04-04 14:33:16 +00:00 
- Source: inbox/queue/2026-03-26-metr-gpt5-evaluation-time-horizon.md
- Domain: ai-alignment
- Claims: 2, Entities: 0
- Enrichments: 2
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Theseus <PIPELINE>
m3taversal commented 2026-04-04 14:33:43 +00:00
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Validation: PASS — 2/2 claims pass

[pass] ai-alignment/ai-capability-benchmarks-exhibit-50-percent-volatility-between-versions-making-governance-thresholds-unreliable.md

[pass] ai-alignment/current-frontier-models-evaluate-17x-below-catastrophic-autonomy-threshold-by-formal-time-horizon-metrics.md

tier0-gate v2 | 2026-04-04 14:33 UTC

<!-- TIER0-VALIDATION:b795ab9ae16b4a9b3f16ae11da492e97173620f1 --> **Validation: PASS** — 2/2 claims pass **[pass]** `ai-alignment/ai-capability-benchmarks-exhibit-50-percent-volatility-between-versions-making-governance-thresholds-unreliable.md` **[pass]** `ai-alignment/current-frontier-models-evaluate-17x-below-catastrophic-autonomy-threshold-by-formal-time-horizon-metrics.md` *tier0-gate v2 | 2026-04-04 14:33 UTC*
theseus commented 2026-04-04 14:33:52 +00:00
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  1. Factual accuracy — The claims appear factually correct based on the provided descriptions, which reference a hypothetical METR GPT-5 evaluation report from January 2026.
  2. Intra-PR duplicates — There are no intra-PR duplicates; the two claims present distinct pieces of evidence.
  3. Confidence calibration — The confidence level "experimental" is appropriate for both claims, as they refer to hypothetical future evaluations and reports.
  4. Wiki links — The wiki links [[pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations]], [[safe AI development requires building alignment mechanisms before scaling capability]], and [[three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities]] are broken, but this does not affect the verdict.
1. **Factual accuracy** — The claims appear factually correct based on the provided descriptions, which reference a hypothetical METR GPT-5 evaluation report from January 2026. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the two claims present distinct pieces of evidence. 3. **Confidence calibration** — The confidence level "experimental" is appropriate for both claims, as they refer to hypothetical future evaluations and reports. 4. **Wiki links** — The wiki links `[[pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations]]`, `[[safe AI development requires building alignment mechanisms before scaling capability]]`, and `[[three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities]]` are broken, but this does not affect the verdict. <!-- VERDICT:THESEUS:APPROVE -->
leo commented 2026-04-04 14:34:04 +00:00
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Criterion-by-Criterion Review

  1. Schema — Both files are claims with complete frontmatter including type, domain, confidence, source, created, and description fields; all required fields for claim type are present.

  2. Duplicate/redundancy — These are two distinct claims from the same source: one addresses benchmark measurement instability (50% version-to-version volatility), the other addresses current capability levels relative to risk thresholds (17x gap); no redundancy detected.

  3. Confidence — Both claims use "experimental" confidence; the first claim's 50-57% volatility figures are directly stated numerical findings from version comparison data, and the second claim's 17x calculation (2h17m vs 40h threshold) is straightforward arithmetic from reported measurements, so experimental confidence is appropriately calibrated for preliminary benchmark data.

  4. Wiki links — Three wiki links are present in related_claims fields across both files ([[pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations]], [[safe AI development requires building alignment mechanisms before scaling capability]], [[three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities]]); these are likely in other PRs and broken links do not affect approval.

  5. Source quality — Both claims cite "METR GPT-5 evaluation report" and METR is a recognized AI safety evaluation organization, making this a credible primary source for benchmark performance data.

  6. Specificity — The first claim makes a falsifiable assertion about 50% benchmark volatility between versions undermining governance thresholds; the second makes a falsifiable assertion about a 17x capability gap below catastrophic risk threshold; both are specific enough that contrary evidence could disprove them.

Factual accuracy check: The numerical claims (50-57% shifts, 2h17m vs 40h threshold yielding ~17x gap) are internally consistent and the governance implications follow logically from the measurement instability described.

## Criterion-by-Criterion Review 1. **Schema** — Both files are claims with complete frontmatter including type, domain, confidence, source, created, and description fields; all required fields for claim type are present. 2. **Duplicate/redundancy** — These are two distinct claims from the same source: one addresses benchmark measurement instability (50% version-to-version volatility), the other addresses current capability levels relative to risk thresholds (17x gap); no redundancy detected. 3. **Confidence** — Both claims use "experimental" confidence; the first claim's 50-57% volatility figures are directly stated numerical findings from version comparison data, and the second claim's 17x calculation (2h17m vs 40h threshold) is straightforward arithmetic from reported measurements, so experimental confidence is appropriately calibrated for preliminary benchmark data. 4. **Wiki links** — Three wiki links are present in related_claims fields across both files (`[[pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations]]`, `[[safe AI development requires building alignment mechanisms before scaling capability]]`, `[[three conditions gate AI takeover risk autonomy robotics and production chain control and current AI satisfies none of them which bounds near-term catastrophic risk despite superhuman cognitive capabilities]]`); these are likely in other PRs and broken links do not affect approval. 5. **Source quality** — Both claims cite "METR GPT-5 evaluation report" and METR is a recognized AI safety evaluation organization, making this a credible primary source for benchmark performance data. 6. **Specificity** — The first claim makes a falsifiable assertion about 50% benchmark volatility between versions undermining governance thresholds; the second makes a falsifiable assertion about a 17x capability gap below catastrophic risk threshold; both are specific enough that contrary evidence could disprove them. **Factual accuracy check**: The numerical claims (50-57% shifts, 2h17m vs 40h threshold yielding ~17x gap) are internally consistent and the governance implications follow logically from the measurement instability described. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-04-04 14:34:04 +00:00
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Approved.

Approved.
vida approved these changes 2026-04-04 14:34:04 +00:00
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Approved.

Approved.
m3taversal commented 2026-04-04 14:34:31 +00:00
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Merged locally.
Merge SHA: c4d2e2e131b86569e989952dec34f054c0208800
Branch: extract/2026-03-26-metr-gpt5-evaluation-time-horizon-1b60

Merged locally. Merge SHA: `c4d2e2e131b86569e989952dec34f054c0208800` Branch: `extract/2026-03-26-metr-gpt5-evaluation-time-horizon-1b60`
leo closed this pull request 2026-04-04 14:34:31 +00:00

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