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 ...
Our proposal is to analyze whether a developer’s internal agents could get away with serious harm without being caught.
At METR, we aim to give the public evidence about whether frontier AI developers could come to lose control of their internal AI systems. Recent incidents across ...
This blog post explains how we approach working with AI companies on projects that the public might rely on to understand risks. It was published on Oct 14, 2026, and we expect to update it over time.
METR (pronounced 'meter') is a research nonprofit that scientifically measures whether and when AI systems might threaten catastrophic harm to society.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results