The key questions about internal AI development the public needs more evidence about, and a concrete proposal for how ...

Our proposal is to analyze a developer’s internal incidents and whether training may suppress evidence of worse misalignment.

Our proposal is to analyze whether a developer’s internal agents could get away with serious harm without being caught.

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 ...

Assessing this would involve analyzing capabilities of unreleased models, understanding the growth of key AI R&D inputs (labor, compute, data, and algorithms), and talking openly with relevant ...

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 ...

Chairman Hawley, Ranking Member Kim, and members of the subcommittee, thank you for inviting me to testify today. My name is Chris Painter and I am the President of METR. It is a great honor to be ...