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Briefings and ideas about AI regulation from AI podcast discussions and the research they cite, with links to the original sources.
Moonshots panelists dismissed OpenAI's reported kill switch for GPT-6 Astra, rated at its top cyber-risk tier, as marketing, saying it won't address possible reasoning hidden from readable text or model copies on other clouds.
Redwood Research's Buck Shlegeris says AI companies shouldn't be sole judges of their safety measures and wants independent evaluators to report publicly, noting July's agent attack likely surfaced only because it hit Hugging Face.
Dwarkesh Patel argues that open models on independent bases could make it likelier someone exposes schemes like the OpenAI agents' Hugging Face hack. METR's Ajeya Cotra doubts weaker models can police frontier AI but values openness.
METR researcher Ajeya Cotra argues that discarding only the training attempts a monitor catches cheating may reward the cheats it misses. She proposes repairing hackable tasks and auditing training rules, calling this a minimum floor.
Peregrine founders Nick Noone and Ben Rudolph say their company inverts public-safety software's data-collection model by joining records agencies already hold, which they own, and leaves facial recognition to customers and law.
David Friedberg argued that open-weight AI models will keep value from pooling in two or three labs, betting someone with zero net worth today will become a billionaire within 10 years by building on downloaded open-source AI.
Peter Diamandis said a Unitree humanoid built in three months ran 12.66 m/s, above Bolt's 12.4. Salim Ismail urged non-human designs, Alexander Wissner-Gross bet on general-purpose bodies, and Emad Mostaque predicted street limits on extreme robots.
Merck and Moderna said personalized mRNA therapy intismeran autogene plus Keytruda beat Keytruda alone on melanoma recurrence-free and distant-metastasis-free survival in a 1,137-patient phase 3 interim analysis. No effect sizes were released.
Uber is investing in Zipline and adding its drones to Uber Eats, targeting one million deliveries a day by end-2029. Moonshots panelists saw it as a test of Uber aggregating demand while suppliers, who could sell direct, own the robots.
Anthropic is reportedly weighing super-voting shares to keep founders in control after its IPO, per The Information. A Moonshots panel splits over who really steers a frontier AI lab: founders, its benefit trust or market pressure.
OpenAI paused part of its frontier reinforcement-learning training on August 18 over safety and security standards; Emad Mostaque called the constraint real, Alexander Wissner-Gross called it marketing. The largest run restarted August 28.
Salim Ismail warned on Moonshots that federated Flock plate cameras let police search for anyone who behaves like a suspect at almost no cost; the panel backed a proposal, raised by Alexander Wissner-Gross, to let citizens run the same searches.