Lex Fridman PodcastAI Crisis in Math: Navier-Stokes, Riemann Hypothesis & Complexity Theory | Lex Fridman Podcast #503
Episode Details
EPISODE INFO
- Released
- October 26, 2026
- Duration
- 3h 34m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Ankur Moitra, Steven Brunton and Alex Kontorovich are three mathematicians who can speak to this incredible moment in the history of mathematics, when AI solved some of its hardest problems: Navier-Stokes, the quasi-Riemann hypothesis, the unique games conjecture and hundreds of other problems. Ankur Moitra is a mathematician at MIT (visiting the Institute for Advanced Study in Princeton) working in theoretical computer science, who can speak to the unique games conjecture, complexity theory and the mathematics of how AI learns. Steven Brunton is a mathematician and fluid dynamics expert at UW, who can speak to Navier-Stokes, turbulence and machine learning for fluid dynamics. Alex Kontorovich is a mathematician at Rutgers specializing in number theory, who can speak to the Riemann hypothesis, Lean and machine-checked proofs. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep503-sb See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. *Transcript:* https://lexfridman.com/math-ai-crisis-transcript *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *EPISODE LINKS:* Ankur's Website: https://people.csail.mit.edu/moitra/ Alex's X: https://x.com/AlexKontorovich Alex's Website: https://sites.math.rutgers.edu/~alexk/ Steven's X: https://x.com/eigensteve Steven's YouTube: https://youtube.com/@Eigensteve Steven's Website: https://eigensteve.com Lean: https://lean-lang.org/ *SPONSORS:* To support this podcast, check out our sponsors & get discounts: *Wispr Flow:* AI-powered voice dictation app. Go to https://lexfridman.com/s/wispr_flow-ep503-sb *Fin:* AI agent for customer service. Go to https://lexfridman.com/s/fin-ep503-sb *LMNT:* Zero-sugar electrolyte drink mix. Go to https://lexfridman.com/s/lmnt-ep503-sb *Blitzy:* AI agent for large enterprise codebases. Go to https://lexfridman.com/s/blitzy-ep503-sb *Shopify:* Sell stuff online. Go to https://lexfridman.com/s/shopify-ep503-sb *NetSuite:* Business management software. Go to https://lexfridman.com/s/netsuite-ep503-sb *Perplexity:* AI-powered answer engine. Go to https://lexfridman.com/s/perplexity-ep503-sb *OUTLINE:* 0:00 - Introduction 1:56 - Crisis moment in mathematics 10:13 - Will AI "solve" mathematics? 26:24 - Can AI create new math? 1:05:56 - Riemann hypothesis 1:29:49 - Navier-Stokes 1:55:45 - How nature computes 2:04:39 - Unique Games Conjecture and complexity theory 2:19:31 - How mathematicians think 2:33:08 - Is math invented or discovered? 2:39:16 - Can AI solve P vs NP? 2:49:31 - Why LLMs work so well 3:03:57 - Problems AI can't solve yet 3:08:27 - Grigori Perelman 3:17:45 - Advice for young people *PODCAST LINKS:*
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SPEAKERS
Lex Fridman
hostHost of the Lex Fridman Podcast and AI researcher who moderates long-form technical conversations.
Alex Kontorovich
guestMathematician and number theorist known for work related to primes and the Riemann hypothesis ecosystem.
Ankur Moitra
guestTheoretical computer scientist focused on algorithms, complexity theory, and related questions like P vs NP and Unique Games.
Steven Brunton
guestEngineer and fluid dynamicist working on dynamical systems, turbulence/Navier–Stokes, and data-driven modeling/control.
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Alex Kontorovich, AI Crisis in Math: Navier-Stokes, Riemann Hypothesis & Complexity Theory | Lex Fridman Podcast #503 explores aI math breakthroughs spark anxiety, rethinking research, meaning, and institutions The conversation centers on the shock and uncertainty triggered by recent AI systems releasing claimed solutions to major math problems, and what this means for the future of mathematical research and culture.
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