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Briefings and ideas about AI scientific discovery from AI podcast discussions and the research they cite, with links to the original sources.
A preprint credits an unreleased Claude model with the seed of a 3SUM algorithm just below quadratic time. On Moonshots, the result was cited in an argument that labs' internal models are pulling away from open ones.
Treasury Secretary Scott Bessent told Axios he will propose a US–China notification process for AI emergencies and expects Beijing to agree. Moonshots panelists mostly dismissed the hotline but read the race very differently.
Richard Socher, author of The Eureka Machine, argues AI can reconnect fragmented science and that biology gains most. He expects some single-gene diseases cured within 12 months, but says FDA delays mean five to 10 years for cures at scale.
Daniel McKinnon, whose son died of a rare lung disease, built an AI pipeline that rediscovered a deletion a lab had missed and a specialist later found. His four-month-old Gamow Labs now uses AI agents to reanalyse unresolved genomes.
Colossal CEO Ben Lamm says frontier AI can't read one genome and prescribe fixes. For three to five years, he sees it bridging messy research papers and designing experiments. He argues large comparative genome data sets matter more than models.
Hosts on Moonshots welcomed FutureHouse and Edison Scientific's 12 lab-testable "Millennium Problems for Biology." Peter Diamandis said age reversal, left off the list, is measurable in days, though his XPRIZE Healthspan uses year-long trials.
An MIT faculty committee's report, based on consultation rather than a controlled study, urges redesigning courses and assessments instead of policing AI use. Moonshots hosts backed its diagnosis but split on what it means for MIT.
MIT's Andrew McAfee said he would back legal limits on AI if AI hijacked San Francisco's Waymos, crashed them into people and couldn't be shut down for a week or a month. Panelists seeking a halt said by then it may be too late.
Panelists on Moonshots argue that as agent compute gets cheaper, the scarce skill is choosing targets: OpenAI's claimed Navier–Stokes proof was easy to specify, but models asked for ideas to cure cancer return poor lists.
Google DeepMind's AlphaGenome Atlas precomputes predicted molecular effects of every possible single-letter change in the human genome. A Moonshots panelist cautioned that what combinations of variants mean still needs outcome data.
In an exploratory analysis of 42 lung-fibrosis patients, AI-designed drug rentosertib made protein aging clocks read about three years younger by week four. Mortality clocks didn't significantly shift at 60 mg, and the effect plateaued by week 12.
OpenAI says an internal model running about 10,000 agents for 88 hours produced a forced Navier–Stokes blowup construction with a Lean-checked proof. Moonshots panelists stressed it concerns idealized fluids and noted disputes over credit.