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SAIR · Science

SAIR

The Foundation for Science and AI Research (SAIR) unites the world’s top minds to accelerate scientific discovery while building a deeper scientific foundation for AI. Co-founded by Fields Medalist Terence Tao, alongside Nobel, Turing, and Fields laureates, SAIR represents a new kind of institution: scientist-led, interdisciplinary, and focused on long-term breakthroughs. At SAIR, we focus on two core directions: • AI for Science: Using AI to accelerate scientific discovery across disciplines. • Science for AI: Applying the rigor of the science to build the future of AI Through research programs, global collaborations, and flagship events, SAIR brings together leaders from academia, industry, entrepreneurship, and philanthropy to shape the future of intelligence. Our vision is simple: Grounding intelligence. Scaling discovery.

Episodes

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a16z’s Jason Cui on AI for Science, Infrastructure & the Next Wave of Breakthroughs

03 Mar 2026
4m
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Randy Schekman on Why AI Changes Everything in Biology

02 Mar 2026
22m
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Jeff Ullman - An Old Guy thinks about AI

26 Feb 2026
14m
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Terence Tao - Mathematics in the Age of AI

26 Feb 2026
16m
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Wharton’s Damek Davis on Why Context Is the Next Big Challenge in AI

23 Feb 2026
14m
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OpenAI’s Sebastian Bubeck: Why AGI Should Accelerate Science

23 Feb 2026
10m
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NVIDIA’s Jiantao Jiao: World Models, Uncertainty, and AI for Science

23 Feb 2026
6m
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Microsoft’s Hoifung Poon: Why AI Needs a Scientific Community

23 Feb 2026
16m
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AWS’s Erran Li on Reliable AI Agents for Science

23 Feb 2026
12m
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UCLA’s Andrea Bertozzi on Why Mathematics Will Shape the AI Era

23 Feb 2026
7m
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Nobel Laureate Barry Barish on AI, Physics, and the Next Era of Scientific Discover

13 Feb 2026
17m
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Panel: AI & Science — Industry Leadership

11 Feb 2026
1h 14m
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Panel: AI & Science — Higher Education Transformation

11 Feb 2026
1h 14m
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Richard Sutton: The Future of AI

11 Feb 2026
43m
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The podcast explores the future of AI, questioning its rapid progress and current reliance on human data. It argues that AI, while useful and economically valuable, is weak and unreliable, lacking genuine understanding and goals. The speaker defines intelligence as the ability to achieve goals by adapting behavior, adv...

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Barry Barish — LIGO: 10 Years of New Science

11 Feb 2026
34m
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Terence Tao: Machine Assistance and the Future of Research Mathematics

11 Feb 2026
34m
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Terence Tao: Why I Co-Founded SAIR

10 Feb 2026
26m
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Terence Tao & Riley Tao: Turning AI’s Firehose Into Usable Science

10 Dec 2025
20m
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In this Q&A podcast, Riley Tao interviews her father, Terence Tao, about the use of AI in mathematical research. Terence explains that AI is a powerful but currently unreliable tool, like a jet engine, and is best used in conjunction with human oversight. He details how he uses AI for literature reviews, coding, and ex...

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Terence Tao Explains How AI Fits Into Scientific Research

10 Nov 2025
38m
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In the inaugural episode of the AIxScience podcast, Peter Liang hosts Professor Terence Tao and Chuck Ng to discuss the role of AI in scientific research. They explore AI's potential to streamline repetitive tasks, ensure accuracy through validation methods, and facilitate interdisciplinary collaboration. The conversat...

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