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Chris Painter

President, Metr

Search every verified Chris Painter interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Chris Painter, president of the AI evaluation organization METR, discussed the organization's work on measuring AI capabilities and the challenges of AI alignment in two podcast appearances. On the "Odd Lots" podcast, he described METR's methodology for assessing AI task difficulty by comparing it to the time humans take to complete the same tasks, noting that models like Opus 4.6 are predicted to succeed at tasks taking humans 12 hours about 50% of the time. He also said that AI capabilities on "messy" real-world problems lag behind technical benchmarks, and that Chinese models have generally trailed US models by roughly 9 to 12 months. In an appearance on "Inside the Government's Cryptic New A.I. Framework," Painter commented on the White House's unreleased framework for regulating frontier AI models, noting that the secretive rollout drew comparisons to "regulatory Calvin Ball" from people in the industry. He also discussed the stakes of AI alignment, saying METR's goal has been to establish the stakes for AI alignment through capability evaluations. He described the alignment research community as being in a "state of triage," with insufficient time to fully understand model propensities for rogue deployments, and noted that even if misbehavior becomes less common as models grow more capable, the stakes increase because small failures can translate into worse outcomes.

Recent appearances

  • Inside the Government's Cryptic New A.I. Framework

    This week, the White House announced a new framework for regulating A.I. models, but it isn’t letting the public read it. We break down what we know about the rules and their implications for the industry and A.I. safety as a whole. Then, yet another report details new incidents in which A.I. agents have gone rogue. Chris Painter, the president of METR, an independent A.I. evaluation organization, joins to discuss how we get these models under control. And finally, we’re hopping on the Hot Mess Express for the very last time! We’ll rate the craziest tech headlines from the week, including Go…

    Watch on YouTube ↗

  • Understanding the Most Viral Chart in Artificial Intelligence | Odd Lots

    METR, which stands for Model Evaluation and Threat Researc, is focused on understanding the degree to which AI models can engage in autonomous, complex tasks. METR see this is as a particularly important benchmark, given the risk that AI could one day be engaged in recursive self improvement, taking humans out of the loop. But how do you really gauge a model's ability to do complex problems. And what is being measured for exactly? On this episode we speak with METR's President Chris Painter as well as Joel Becker, a member of the technical staff who works on evaluation methods for the organiza…

    Watch on YouTube ↗

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