
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


Randy Schekman on Why AI Changes Everything in Biology

Jeff Ullman - An Old Guy thinks about AI

Terence Tao - Mathematics in the Age of AI

Wharton’s Damek Davis on Why Context Is the Next Big Challenge in AI

OpenAI’s Sebastian Bubeck: Why AGI Should Accelerate Science

NVIDIA’s Jiantao Jiao: World Models, Uncertainty, and AI for Science

Microsoft’s Hoifung Poon: Why AI Needs a Scientific Community

AWS’s Erran Li on Reliable AI Agents for Science

UCLA’s Andrea Bertozzi on Why Mathematics Will Shape the AI Era

Nobel Laureate Barry Barish on AI, Physics, and the Next Era of Scientific Discover

Panel: AI & Science — Industry Leadership

Panel: AI & Science — Higher Education Transformation

Richard Sutton: The Future of AI
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...

Barry Barish — LIGO: 10 Years of New Science

Terence Tao: Machine Assistance and the Future of Research Mathematics

Terence Tao: Why I Co-Founded SAIR

Terence Tao & Riley Tao: Turning AI’s Firehose Into Usable Science
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...

Terence Tao Explains How AI Fits Into Scientific Research
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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