Podbit · Moonshots with Peter Diamandis
US national labs hold 70 years of scientific data across every domain that has never been made AI-ready. Getting that data into models is the core insight behind the Genesis Mission. Kratsios draws the analogy to NOAA weather data — once made freely available, it became the foundation for every weather app in existence.
Where this was said
At 1:07:50 · chapter starts 1:07:30
One of the most concrete and actionable insights in the conversation: the US national labs — DOE, NIH, and others — have accumulated 70 years of scientific data across every domain, from nuclear physics to biomedical research, that has never been made AI-ready or incorporated into any model. [1] — Michael Kratsios "US national labs hold 70 years of scientific data across every domain that has never been made AI-ready. Getting that data into models is t…" 1:07:50 Kratsios frames this as an enormous untapped accelerant for the Genesis Mission. His analogy is clarifying: when the federal government made NOAA weather data freely available, it became the foundation for every commercial weather application ever built. The same cascade could happen with national lab data — except instead of weather apps, the downstream products would be drug candidates, materials discoveries, and physics breakthroughs. He also addresses a question Peter raises about who captures the value from AI-driven discoveries built on public data: those are public goods, and the value should flow back to the American people who funded the research in the first place.
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