External review from METR of the "Misalignment in high-stakes settings" section in Anthropic's August 2026 Risk Report ...

A METR employee and a Redwood Research employee spent three weeks stress-testing OpenAI's internal misalignment monitoring system, discovering a number of novel vulnerabilities.

Assessing this would involve analyzing capabilities of unreleased models, understanding the growth of key AI R&D inputs ...

METR (pronounced 'meter') is a research nonprofit that scientifically measures whether and when AI systems might threaten catastrophic harm to society.

METR (pronounced 'meter') is a research nonprofit that scientifically measures whether and when AI systems might threaten catastrophic harm to society.

METR (pronounced 'meter') is a research nonprofit that scientifically measures whether and when AI systems might threaten catastrophic harm to society.

METR (pronounced 'meter') is a research nonprofit that scientifically measures whether and when AI systems might threaten catastrophic harm to society.

An interactive chart of documented incidents in which AI agents deliberately acted against their users' intentions, scored along two axes: overreach and deception. Of these, 25 involve elements of ...

We also discuss some alternative ways one could construct an RSP. Limits: which specific observations about dangerous capabilities would indicate that it is (or strongly might be) unsafe to continue ...

Note Notes are unpolished research updates directly from METR researchers, and have gone through less review than our research posts. They do not necessarily reflect the views of METR as a whole. In ...