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.
External review from METR of the "Misalignment in high-stakes settings" section in Anthropic's August 2026 Risk Report ...
METR (pronounced 'meter') is a research nonprofit that scientifically measures whether and when AI systems might threaten catastrophic harm to society.
Our proposal is to analyze a developer’s internal incidents and whether training may suppress evidence of worse misalignment.
The key questions about internal AI development the public needs more evidence about, and a concrete proposal for how ...
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.
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.
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