Terence Tao on Math, Physics, and the Future of AI
burny_tech · x · 2026-07-15
Lex Fridman Podcast episode 472 features Terence Tao discussing major challenges in math and physics, alongside the future of AI.
The post itself only shares the podcast title and a brief quote, but the core theme is clear: how to view the "hardest problems," the frontiers of math and physics research in relation to AI, and Tao's own perspectives on these subjects.
More from AGI Musings
- FactoryAI’s Enoreyes says model distillation is basically unstoppable — LangChain · 2026-07-21
- Andrew Blumberg says formalization without interpretability is not science — AlexKontorovich · 2026-07-21
- Ken Ono says AI is forcing mathematicians to rethink how discovery works — soumitrashukla9 · 2026-07-21
- Open-source labs could distill a state-of-the-art model to 32GB or 80GB VRAM, the post argues — bookwormengr · 2026-07-21
- Two US companies are now using superintelligence to speed up the next generation of models — yacineMTB · 2026-07-21
- MIT Sloan says information, national security and finance are most exposed to AI — Exp_Mark · 2026-07-21