#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation
Lex Fridman Podcast
Power Lies in Design, Not Just Neural Networks
Neural networks are recognized for their potential, particularly in scenarios where identifying features is complex, such as in Go where determining winning positions is arduous. However, in poker, the true challenge lies not in feature extraction but in crafting a scalable algorithm that effectively manages strategic elements, like bluffing probabilities. This distinction highlights that while neural networks can enhance certain aspects, they are not always the cornerstone for tackling specific problems.
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