Independent Assessment of AI R&D Acceleration at Anthropic in October 2026 - METR
While we were able to freely share our highest-level conclusions about risk , Anthropic redacted a majority of the evidence we found most informative ...
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Review of the " Risks from automated R&D" section in Anthropic's Risk Report (August 2026)
[1] We conducted this review as part of a high-access assessment of AI R&D acceleration, in which Anthropic shared a private version of the Risk ...
Review of the "Misalignment in high-stakes settings" section in Anthropic's Risk Report (August 2026)
Alongside our own reports, METR also conducts independent third-party reviews of AI companies' risk reports at their request. Our reviews have ...
A proposal for better informing the public about loss-of-control risks from frontier AI development
Alignment: would internal AI agents pursue very Figure 1: Core questions we think assessments of loss-of-control risk should address. This proposal ...
Frontier Risk Report (February to March 2026) - METR
Starting in February 2026, METR conducted a pilot exercise to assess misalignment risks from AI agents used inside frontier AI developers, with ...
Review of the " Risks from automated R&D" section in the Anthropic Risk Report (February 2026)
We also think that the overall argument misses the possibility of substantial AI R&D acceleration before its full automation, which could also ...
Red-Teaming Anthropic's Internal Agent Monitoring Systems - METR
... AI systems to conduct AI R&D. GPT-5.1 Evaluation Results. We evaluate whether GPT-5.1 poses significant catastrophic risks ...
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Review of the Anthropic Sabotage Risk Report: Claude Opus 4.6 - METR
METR (pronounced 'meter') is a research nonprofit that scientifically measures whether and when AI systems might threaten catastrophic harm to society ...
We are Changing our Developer Productivity Experiment Design - METR
... AI , which likely biases downwards our estimate of AI -assisted speedup. ... bias . However we are likely missing data on the most active adopters ...
Frontier AI safety regulations: A reference for lab staff - METR
These regulations establish incident reporting requirements, model evaluation standards, risk management practices, and whistleblower protections.
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