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Tuomas Sandholm: Poker and Game Theory | Lex Fridman Podcast #12

Lex Fridman and Tuomas Sandholm on aI Mastering Poker Reveals Future of Game Theory and Strategy.

Lex FridmanhostTuomas Sandholmguest
Dec 28, 20181h 6mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
December 28, 2018
Duration
1h 6m
Channel
Lex Fridman Podcast
Watch on YouTube
▶ Open ↗

SPEAKERS

  • Lex Fridman

    host
  • Tuomas Sandholm

    guest

EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Tuomas Sandholm, Tuomas Sandholm: Poker and Game Theory | Lex Fridman Podcast #12 explores aI Mastering Poker Reveals Future of Game Theory and Strategy Lex Fridman interviews Tuomas Sandholm about Libratus, the first AI to decisively beat top professionals in heads-up no-limit Texas Hold'em, and what that implies for AI, game theory, and real-world strategy. Sandholm explains how imperfect-information games differ fundamentally from perfect-information games like chess and Go, and why abstractions, equilibrium computation, and belief modeling are central. They discuss extensions to learning-based methods, exploitation and collusion in multi-player settings, and moving beyond benchmark games into business, military, and market design applications. Sandholm also reflects on mechanism design, real-world impact (kidney exchanges, auctions), and why he is optimistic about AI’s societal benefits despite theoretical concerns about misalignment.

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