Public AI Audits Must Show Raw Evidence | Charles Foster
METR policy staff member Charles Foster discusses independent evaluations of frontier AI models, outlining METR's proposed framework for assessing alignment, control, and AI R&D acceleration while navigating developer access and public transparency. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love.
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