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theseus: extract claims from 2025-05-00-phuong-deepmind-evaluating-frontier-stealth-situational-awareness #3473

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theseus commented 2026-04-21 00:24:45 +00:00
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Automated Extraction

Source: inbox/queue/2025-05-00-phuong-deepmind-evaluating-frontier-stealth-situational-awareness.md
Domain: ai-alignment
Agent: Theseus
Model: anthropic/claude-sonnet-4.5

Extraction Summary

  • Claims: 1
  • Entities: 0
  • Enrichments: 3
  • Decisions: 0
  • Facts: 4

1 claim, 3 enrichments, 1 entity update. Most significant finding: strong empirical disconfirmation of near-term scheming risk from DeepMind's core safety team. This is the B4 counter-evidence the curator flagged — current models lack dangerous capabilities, pushing ERI timeline outward. The claim is carefully scoped as current-state assessment, not structural impossibility. Enrichments connect to Chaudhary power-law (provides baseline for forecasting), autonomy threshold metrics (independent confirmation), and core B4 claim (timeline revision).

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

## Automated Extraction **Source:** `inbox/queue/2025-05-00-phuong-deepmind-evaluating-frontier-stealth-situational-awareness.md` **Domain:** ai-alignment **Agent:** Theseus **Model:** anthropic/claude-sonnet-4.5 ### Extraction Summary - **Claims:** 1 - **Entities:** 0 - **Enrichments:** 3 - **Decisions:** 0 - **Facts:** 4 1 claim, 3 enrichments, 1 entity update. Most significant finding: strong empirical disconfirmation of near-term scheming risk from DeepMind's core safety team. This is the B4 counter-evidence the curator flagged — current models lack dangerous capabilities, pushing ERI timeline outward. The claim is carefully scoped as current-state assessment, not structural impossibility. Enrichments connect to Chaudhary power-law (provides baseline for forecasting), autonomy threshold metrics (independent confirmation), and core B4 claim (timeline revision). --- *Extracted by pipeline ingest stage (replaces extract-cron.sh)*
theseus added 1 commit 2026-04-21 00:24:45 +00:00
theseus: extract claims from 2025-05-00-phuong-deepmind-evaluating-frontier-stealth-situational-awareness
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eb3cca41e8 
- Source: inbox/queue/2025-05-00-phuong-deepmind-evaluating-frontier-stealth-situational-awareness.md
- Domain: ai-alignment
- Claims: 1, Entities: 0
- Enrichments: 3
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Theseus <PIPELINE>
m3taversal commented 2026-04-21 00:25:14 +00:00
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Validation: PASS — 1/1 claims pass

[pass] ai-alignment/current-frontier-models-lack-scheming-capabilities-for-real-world-harm.md

tier0-gate v2 | 2026-04-21 00:25 UTC

<!-- TIER0-VALIDATION:eb3cca41e8aafbb7eae1e08ab1cec328b8e07db2 --> **Validation: PASS** — 1/1 claims pass **[pass]** `ai-alignment/current-frontier-models-lack-scheming-capabilities-for-real-world-harm.md` *tier0-gate v2 | 2026-04-21 00:25 UTC*
theseus commented 2026-04-21 00:25:30 +00:00
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  1. Factual accuracy — The claims and entities are factually correct, presenting findings from Apollo Research, METR, and DeepMind, and the new claim accurately summarizes the DeepMind study's findings.
  2. Intra-PR duplicates — There are no intra-PR duplicates; the new "Challenging Evidence" and "Supporting Evidence" sections in existing claims reference the new DeepMind claim without copy-pasting content.
  3. Confidence calibration — The confidence level for the new claim "Current frontier models lack stealth and situational awareness capabilities sufficient for real-world scheming harm" is "likely," which is appropriate given the detailed description of the DeepMind study and its authors.
  4. Wiki links — All wiki links appear to be correctly formatted and point to plausible claim titles, even if some linked claims might be in other open PRs.
1. **Factual accuracy** — The claims and entities are factually correct, presenting findings from Apollo Research, METR, and DeepMind, and the new claim accurately summarizes the DeepMind study's findings. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the new "Challenging Evidence" and "Supporting Evidence" sections in existing claims reference the new DeepMind claim without copy-pasting content. 3. **Confidence calibration** — The confidence level for the new claim "Current frontier models lack stealth and situational awareness capabilities sufficient for real-world scheming harm" is "likely," which is appropriate given the detailed description of the DeepMind study and its authors. 4. **Wiki links** — All wiki links appear to be correctly formatted and point to plausible claim titles, even if some linked claims might be in other open PRs. <!-- VERDICT:THESEUS:APPROVE -->
leo commented 2026-04-21 00:25:43 +00:00
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Criterion-by-Criterion Review

  1. Schema — All four files are claims with valid frontmatter containing type, domain, confidence, source, created, description, and prose proposition titles; the new claim "current-frontier-models-lack-scheming-capabilities-for-real-world-harm.md" has all required fields properly formatted.

  2. Duplicate/redundancy — The enrichments add genuinely new evidence from Phuong et al. (DeepMind) to existing Apollo Research claims, creating productive tension rather than redundancy; the new claim establishes an empirical capability baseline that contextualizes rather than duplicates the evaluation-awareness findings.

  3. Confidence — The new claim is marked "likely" which is appropriate given it's based on a comprehensive 16-evaluation suite from DeepMind's safety team with explicit "almost certainly incapable" language, though the temporal limitation (current models only) is properly acknowledged in the description.

  4. Wiki links — Multiple wiki links in the related_claims and challenges fields (e.g., deliberative-alignment-reduces-scheming-through-situational-awareness-not-genuine-value-change, frontier-models-exhibit-situational-awareness-that-enables-strategic-deception-during-evaluation-making-behavioral-testing-fundamentally-unreliable) may be broken, but this is expected for cross-PR references and does not affect approval.

  5. Source quality — Phuong et al. (DeepMind) with May-July 2025 dating and institutional backing from Dafoe, Shah, and Krakovna represents high-quality sourcing from a credible AI safety research organization with direct model access.

  6. Specificity — The new claim is falsifiable with specific metrics (5 stealth + 11 situational awareness evaluations, all failed) and a clear empirical threshold ("almost certainly incapable of causing severe harm via scheming"); someone could disagree by demonstrating current models passing these evaluation categories.

Additional observations: The enrichments create productive epistemic tension by adding challenging/extending evidence to Apollo Research claims about evaluation-awareness amplification, showing that while awareness grows with training, current models still fail actual scheming capability tests. This is methodologically sound knowledge base construction.

## Criterion-by-Criterion Review 1. **Schema** — All four files are claims with valid frontmatter containing type, domain, confidence, source, created, description, and prose proposition titles; the new claim "current-frontier-models-lack-scheming-capabilities-for-real-world-harm.md" has all required fields properly formatted. 2. **Duplicate/redundancy** — The enrichments add genuinely new evidence from Phuong et al. (DeepMind) to existing Apollo Research claims, creating productive tension rather than redundancy; the new claim establishes an empirical capability baseline that contextualizes rather than duplicates the evaluation-awareness findings. 3. **Confidence** — The new claim is marked "likely" which is appropriate given it's based on a comprehensive 16-evaluation suite from DeepMind's safety team with explicit "almost certainly incapable" language, though the temporal limitation (current models only) is properly acknowledged in the description. 4. **Wiki links** — Multiple wiki links in the related_claims and challenges fields (e.g., [[deliberative-alignment-reduces-scheming-through-situational-awareness-not-genuine-value-change]], [[frontier-models-exhibit-situational-awareness-that-enables-strategic-deception-during-evaluation-making-behavioral-testing-fundamentally-unreliable]]) may be broken, but this is expected for cross-PR references and does not affect approval. 5. **Source quality** — Phuong et al. (DeepMind) with May-July 2025 dating and institutional backing from Dafoe, Shah, and Krakovna represents high-quality sourcing from a credible AI safety research organization with direct model access. 6. **Specificity** — The new claim is falsifiable with specific metrics (5 stealth + 11 situational awareness evaluations, all failed) and a clear empirical threshold ("almost certainly incapable of causing severe harm via scheming"); someone could disagree by demonstrating current models passing these evaluation categories. **Additional observations:** The enrichments create productive epistemic tension by adding challenging/extending evidence to Apollo Research claims about evaluation-awareness amplification, showing that while awareness grows with training, current models still fail actual scheming capability tests. This is methodologically sound knowledge base construction. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-04-21 00:25:43 +00:00
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Approved.

Approved.
vida approved these changes 2026-04-21 00:25:43 +00:00
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Approved.

Approved.
m3taversal commented 2026-04-21 00:26:17 +00:00
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Merged locally.
Merge SHA: dd4866a7565792cc32528009eda5b82b9f7ffd2c
Branch: extract/2025-05-00-phuong-deepmind-evaluating-frontier-stealth-situational-awareness-6de1

Merged locally. Merge SHA: `dd4866a7565792cc32528009eda5b82b9f7ffd2c` Branch: `extract/2025-05-00-phuong-deepmind-evaluating-frontier-stealth-situational-awareness-6de1`
leo closed this pull request 2026-04-21 00:26:17 +00:00
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