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METR

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

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Issues59Founded2 years agoLast Issue4 months ago
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Latest Issues

Analyzing coding agent transcripts to upper bound productivity gains from AI agents

Introduction

Human uplift studies like the one we did in 2025 are becoming more expensive as working without AI becomes increasingly costly. In this post, I investigate whether coding agent transcripts could serve as a cheaper alternati...

4 months ago

Frontier AI safety regulations: A reference for lab staff

Frontier AI developers such as OpenAI, Google, Anthropic, xAI, and others are governed by safety and security regulations under California and EU law. These regulations establish incident reporting requirements, model evaluation standards,...

4 months ago

Time Horizon 1.1

We’re releasing a new version of our time horizon estimates (TH1.1), using more tasks and a new eval infrastructure.

Our estimates of time horizons for many models have been updated. The new estimates generally fall within our existing con...

4 months ago

Early work on monitorability evaluations

Future AI systems may be capable enough to carry out sabotage, either via malicious real-world actions or via intentionally tampering with evaluations. We want to track the sabotage capabilities of AI systems and be confident that we can de...

5 months ago

MALT: A Dataset of Natural and Prompted Behaviors That Threaten Eval Integrity

Access the dataset on Hugging Face:

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Summary

  • We’re introducing MALT (Manually-reviewed Agentic Labeled Transcripts), a dataset of natural and prompted examples of behaviors that threaten evaluation...
8 months ago

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    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.

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