
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


A Conversation with Yannis Ioannidis, ACM's Longest-Serving President

Alex Oshmyansky: How Cost Plus Drugs Is Rebuilding Prescription Drug Pricing

Panel Discussion – Builders x AI

Title: Panel Discussion: AI x Open Data

Carina Hong: Frontiers of AI for Mathematical Research

Compression is all you need: Modeling mathematics

Tom Kalil: Funding AI for Science Through Public Goods and Philanthropy

David Patterson & Andy Konwinski: How to Accelerate Frontier Science

Panel Discussion - AI x Life Science

Reid Hoffman on Why Everyone is Now a Manager of Agents

a16z’s Matt Bornstein on How to Build an AI Science Startup

Leonardo de Moura: Lean: Machine-Checked Proofs as Infrastructure for AI and Science

Panel Discussion: AI x Research

Investing in the Future of AI: ICONIQ’s Murali Joshi on Scaling Giants like Anthropic

The AI Era of Science: Insights from John Hennessy

Peter L: SAIR: Open by Design — The Platform for Science x AI

Jeff Ullman: An Old Guy Thinks About AI II

Randy Schekman: The Protein Folding Problem

Lenore Blum: (AI) Consciousness thru a Theoretical Computer Science Lens
Follow this podcast in Podwise
Sign in to get AI summaries, transcripts and mind maps for any episode, including new ones.
