#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation

Noam Brown is a research scientist at FAIR, Meta AI, co-creator of AI that achieved superhuman level performance in games of No-Limit Texas Hold'em and Diplomacy. Please support this podcast by
#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation

Noam Brown is a research scientist at FAIR, Meta AI, co-creator of AI that achieved superhuman level performance in games of No-Limit Texas Hold’em and Diplomacy. Please support this podcast by checking out our sponsors:

– True Classic Tees: https://trueclassictees.com/lex (https://trueclassictees.com/lex) and use code LEX to get 25% off

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EPISODE LINKS:

Noam’s Twitter: https://twitter.com/polynoamial (https://twitter.com/polynoamial)

Noam’s LinkedIn: https://www.linkedin.com/in/noam-brown-8b785b62/ (https://www.linkedin.com/in/noam-brown-8b785b62/)

webDiplomacy: https://webdiplomacy.net/ (https://webdiplomacy.net/)

Noam’s papers:

Superhuman AI for multiplayer poker: https://par.nsf.gov/servlets/purl/10119653 (https://par.nsf.gov/servlets/purl/10119653)

Superhuman AI for heads-up no-limit poker: https://par.nsf.gov/servlets/purl/10077416 (https://par.nsf.gov/servlets/purl/10077416)

Human-level play in the game of Diplomacy: https://www.science.org/doi/10.1126/science.ade9097 (https://www.science.org/doi/10.1126/science.ade9097)

PODCAST INFO:

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SUPPORT & CONNECT:

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– Medium: https://medium.com/@lexfridman (https://medium.com/@lexfridman)

OUTLINE:

Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.

(00:00) – Introduction

(05:37) – No Limit Texas Hold ’em

(09:30) – Solving poker

(22:40) – Poker vs Chess

(29:18) – AI playing poker

(1:02:46) – Heads-up vs Multi-way poker

(1:13:37) – Greatest poker player of all time

(1:17:10) – Diplomacy game

(1:27:01) – AI negotiating with humans

(2:09:26) – AI in geopolitics

(2:14:11) – Human-like AI for games

(2:20:12) – Ethics of AI

(2:24:26) – AGI

(2:28:25) – Advice to beginners

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