Poker Tips From LLMs: How Bad Are They? · S8E11

An increasing number of people rely on ChatGPT summaries to explain complex topics. Is this a good idea if you're looking for tactical and strategic information about #poker? This fun episode of the podcast explores the question.

As you may have found in other disciplines, one of the problems with relying on any LLM is that the accuracy of the information they return can be extremely unpredictable. ChatGPT provides decent summaries of some areas of poker, and laughably bad ones in others.

TIMESTAMPS

0:00 Introduction: Poker Turing Test with AI 0:22 Can AI Understand Poker Conceptually? 1:30 Testing ChatGPT's Range Construction 2:36 The Symmetrical Grid Problem 4:55 Suited vs Offsuit Hand Values 7:18 Concept Explanation Test: Polarization 8:50 Equity Denial & Reverse Implied Odds 9:30 The Triple Range Merge Trap 12:13 ChatGPT's Conceptual Understanding Limits 12:58 EV Calculation Challenge Begins 14:34 Breaking Down Semi-Bluff Math 17:30 Training ChatGPT to Calculate Correctly 19:00 Can ChatGPT Remember EV Formulas? 21:30 Writing Poker Scripts with AI 24:33 Final Verdict: Did ChatGPT Pass?

RELATED LINKS

• The Low-Stakes Poker Playbook: https://redchippoker.com/low-stakes-poker-playbook/
• Poker Study Guide: https://www.splitsuit.com/ultimate-weekly-poker-study-guide
• Crushing Poker Bots: https://youtu.be/nhuWF-8CK1E?si=GVt6NKcpflLTqktr
• The Poker Robot: https://youtu.be/vnL52ChgLqM?si=jNJIDz1YoTmrssas

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