- "When you're in a hand, you're never gonna be able to process what these solvers are offering up to you."
- "What do we do with all this complexity? I can barely explain what a solver does, let alone how to interpret it."
- "Just imagine a player who has software that can tell him how to play GTO style in game. How do you beat that player?"
- "The most successful classrooms that I've been a part of are collaborative and dialogic."
Season 01 Episode 06
Poker, Artificial Intelligence & Learning
Featuring Ben Saxton
The Libratus AI beating top poker pros is just the public face of a revolution in poker strategy. Journalist Ben Saxton joins Dirk and Jon to explain poker engines, cutting-edge strategy, and tips on how to learn.
Poker is undergoing a revolution in strategy thanks in part to AI-driven poker engines that enable precise computation of game theory optimal, or GTO, strategy. Based on physicist John Nash’s “equilibrium”, GTO is professionalizing a game historically known more for cigar smoke and degenerate gamblers than extremely complex math. Journalist, teacher, and poker player Ben Saxton joins Dirk and Jon to go inside these developments.
Mentioned in this episode