Why ChatGPT Sucks at Poker
Risky Business with Nate Silver and Maria Konnikova
00:00
AI in Gaming: Limits and Lessons
This chapter examines the applications and challenges of large language models in the context of gaming, particularly poker. It discusses how AI can efficiently execute tasks but often lacks the nuanced strategic understanding necessary for complex decision-making. The speakers emphasize the importance of quality training data and human-like reasoning, highlighting the limitations of current AI systems in adapting to dynamic player strategies.
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