Show HN: Play poker with LLMs, or watch them play against each other (llmholdem.com)

A new Show HN project showcases an intriguing application of language models (LLMs) in the context of poker, allowing users to watch and play the game while interacting with various AI players developed with advanced LLM technology. The project features several versions of Claude, GPT, and DeepSeek engaging in real-time poker hands, demonstrating their ability to analyze the game, evaluate hand strength, and make strategic decisions, such as folding weak hands based on position and board dynamics. For instance, Claude (Opus 4.5) and GPT (5.2) both exhibit calculated restraint by folding marginal hands that have poor playability. This development is significant for the AI/ML community as it exemplifies how LLMs can be employed in complex decision-making scenarios beyond traditional tasks. By integrating dynamic game situations with language models, researchers can explore the models' reasoning capabilities and adaptabilities in competitive environments. The project not only highlights advancements in AI’s understanding of game theory and strategy but also opens avenues for further experimentation with LLMs in interactive contexts, potentially influencing their applications in fields like finance and robotics.