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LLMs struggle with cooperative poker analysis, deterministic solution found

A researcher explored the cooperative poker game "The Gang" using large language models, finding that local models like qwen3.6 and llama3.3:70b showed some ability to win. However, frontier LLMs provided mixed results when asked to analyze the game and devise strategies. The researcher also developed a deterministic solution that can complete a four-player game within seven rounds. AI

IMPACT Demonstrates current LLM limitations in strategic game theory and cooperative problem-solving.

RANK_REASON The cluster describes an analysis of a game using LLMs and the development of a deterministic solution, which falls under research. [lever_c_demoted from research: ic=1 ai=0.7]

Read on LessWrong (AI tag) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs struggle with cooperative poker analysis, deterministic solution found

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The cluster describes an analysis of a game using LLMs and the development of a deterministic solution, which falls under research. [lever_c_demoted from research: ic=1 ai=0.7]
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106 days old
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COVERAGE [1]

  1. LessWrong (AI tag) TIER_1 English(EN) · Dentosal ·

    Thinking outside the box? LLM analysis of simplified cooperative poker

    <p><a href="https://whatsericplaying.com/2025/01/27/the-gang"><em>The Gang</em></a> is a cooperative poker game. A friend introduced me to it yesterday and while it was quite fun, the rules are all over the place. In particular, there's are multiple trivial and boring solutions t…