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METR

METR, Michael Chen, Michael Keenan

Research updates and other news from METR, a research nonprofit developing the science of autonomous AI evaluations.

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Substack
PricingOnly free issuesPublishesWeekly
Issues51SubscribersRead metr.substack.com

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Latest Issues

Recent posts by this newsletter. Browse the email archive.

CoT May Be Highly Informative Despite “Unfaithfulness”

This post contains interactive elements that can’t be shown on Substack. Consider viewing it on our website.

4 months ago
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METR’s evaluation of OpenAI GPT-5

Note on independence: This evaluation was conducted under a standard NDA. Due to the sensitive information shared with METR as part of this evaluation, OpenAI’s comms and legal team required review and approval of this post (the latter is n...

4 months ago
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How Does Time Horizon Vary Across Domains?

Note: This post includes inline LaTeX that looks better on the version at our website.

5 months ago
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Recent Frontier Models Are Reward Hacking

In the last few months, we’ve seen increasingly clear examples of reward hacking[1] on our tasks: AI systems try to “cheat” and get impossibly high scores. They do this by exploiting bugs in our scoring code or subverting the task setup, ra...

6 months ago
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Authors

The writers behind this newsletter.

  • METR

    METR researches, develops and runs cutting-edge tests of AI capabilities, including broad autonomous capabilities and the ability of AI systems to conduct AI R&D.

  • Michael Chen

    I work on AI policy at METR, an AI evaluations nonprofit. I help support foundation model developers with crafting AI safety frameworks, and I provide input to government bodies.

  • Michael Keenan
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