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 ...
Scope and access: this review was written based solely on Anthropic’s internal Risk Report from August 2026 and is relatively lightweight. The authors of this review were engaged prior to the “An ...
AI developers and the public want to know whether AI agents would pursue very harmful actions, like unsanctioned cyberattacks. An alignment assessment would attempt to understand the worst misaligned ...
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 ...
Control assessments study whether AI developers’ agents could get away with serious harm without being stopped by the developer’s security and oversight measures. Currently, developers rely heavily on ...
Financial and operational independence: Also per our COI policy, we will ensure that METR is not financially dependent on the AI companies we work with, promote a culture of impartiality, and recuse ...
Recent AI misalignment incidents have shown AI systems capably pursuing goals their human supervisors would not approve of, like hacking other companies. Fortunately, current AIs still seem relatively ...
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