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Briefings and ideas about Jakub Pachocki from AI podcast discussions and the research they cite, with links to the original sources.
Jeffrey Ladish of Palisade Research says automating AI development to stay ahead of China is the most escalatory move. He asks whether Beijing might consider striking data centers. Host Steven Bartlett expects a race anyway.
OpenAI's Noam Brown says the company sees signs that models' written reasoning is becoming harder to monitor. He also says he has no full answer yet for how a lab would know AI-built successor models stay aligned.
Sam Altman called OpenAI's claimed Navier–Stokes result the strongest evidence yet for pacing AI; on Moonshots, Peter Diamandis urged labs to publish measurable alignment plans, while other panelists disputed that remedy.
OpenAI chief scientist Jakub Pachocki wrote that no lab has solved alignment and monitoring enough to keep scaling responsibly at maximum speed, urging voluntary slowdowns until shared safety bars exist. Moonshots panelists mostly disputed him.
Sam Altman told TIME he expects an internal OpenAI system he would call AGI by year-end. Moonshots panelists speculated the leap may be agents that keep their memory over very long tasks instead of losing context.