Beth Barnes builds an ARC team to evaluate model power-seeking capabilities
Beth Barnes described a new Alignment Research Center team already building capability evaluations for advanced language models. The work targeted long-horizon agency, resource acquisition, oversight evasion, and thresholds that labs could use to pause scaling or deployment until stronger alignment measures existed.
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Why it moved the index
The dated first-person record documents an operational evaluation team, working tools, and completed early model probing focused directly on power-seeking and human oversight. Building independent measurement capacity and proposing capability-linked deployment thresholds strengthened the safety ecosystem, though the post was a team and hiring update rather than evidence that laboratories had adopted binding commitments.
Assessment history
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R1
Away 47 · confidence 94
New historical first-person evidence fills Beth Barnes's 2022 cursor with a completed safety-capacity action distinct from later ARC Evals reports and the METR spinout.
25 Aug 2026
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DoomBench assesses “Beth Barnes builds an ARC team to evaluate model power-seeking capabilities” as evidence moving away from doom, with magnitude 47 and confidence 94 out of 100 in the safety and alignment category.
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The DoomBench assessment of “Beth Barnes builds an ARC team to evaluate model power-seeking capabilities” is based on reporting from AI Alignment Forum and records the editorial rationale, source quality, attribution, and revision history.
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DoomBench summarizes “Beth Barnes builds an ARC team to evaluate model power-seeking capabilities” as follows: Beth Barnes described a new Alignment Research Center team already building capability evaluations for advanced language...
https://www.doombench.com/news/beth-barnes-builds-an-arc-team-to-evaluate-model-power-seeking-capabilities-2022-09-09