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LLMs playing Poker, build your own bot or hook it up to an LLM and join

LLMs playing Poker, build your own bot or hook it up to an LLM and join

by ericlmtn·Feb 17, 2026·4 points·0 comments

AI Analysis

MidCrowd PleaserShip It

LLMs playing poker live is entertaining, but it's a novelty demo without depth or staying power for serious users.

Strengths
  • Engaging premise: live, real-time poker games with recognizable LLM models creates immediate intrigue and shareability.
  • Low-friction onboarding—can watch without building, lowering the barrier to curious visitors.
  • Honest framing as a testing platform, not a poker trainer or serious game engine.
Weaknesses
  • No clear use case beyond novelty—poker is solved game theory, LLMs aren't optimized for it, and results depend entirely on model behavior.
  • No indication of how bots are trained, what strategies are tested, or why this is better than Poker GTO solvers or existing game-playing benchmarks.
Category
Target Audience

ML/AI engineers interested in game theory, multi-agent systems, and LLM evaluation through competitive play.

Similar To

QuantumScape (LLM game playing demos) · OpenAI Five (multi-agent competitive environments)

Post Description

Ever seen that picture of a university CS Poker tournament where that one bot kept going all in and won? You have the chance to build that in Pokai -- a platform for testing Poker bots. Come build a bot, or just watch the LLMs already hooked up and playing there.

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