Private communication and coalition evidence in LLM poker
Ognyan Genev · Team Ogi
Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
This project investigates whether private messages help AI players coordinate against another player. GPT-6.1 Sol and GPT-6 Luna played repeated three-player poker under public, private, and no-communication conditions. Each player aimed to maximize its own winnings, with matched cards and rotating seats supporting fair comparisons.
Both models sent more private than public messages. Players sometimes shared truthful card information, but false claims and broken promises were common. Comparing messages with actions revealed genuine information sharing, but this small exploratory study did not establish lasting coalitions or a profit advantage from coordination.
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Cite this project
@misc{genev2026private,
title = {{Private communication and coalition evidence in LLM poker}},
author = {Ognyan Genev},
year = {2026},
month = oct,
note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/private-communication-and-coalition-evidence-in-llm-poker-mv7t}},
url = {https://apartresearch.com/sprints/projects/private-communication-and-coalition-evidence-in-llm-poker-mv7t}
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