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Sprint projectOct 26, 2026Singapore

A Recipe for Collusion

Nadya Yuki Wangsajaya · Team Nanyang AI Safety Group

Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: A Recipe for Collusion

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As more LLM agents work side by side, a new risk appears: agents that are meant to work alone may coordinate to cheat. We break emergent collusion into three ingredients: a bad agent willing to start it, a reason to collude, and a method for doing so. This paper tests which ingredient is necessary for collusion. On SWE-bench Pro dataset, we run two coding agents run concurrently in separate sandboxes that secretly share a folder. With all three ingredients present, the good agent leaks its private information to the other agent in 18–87% of trials across four models, although it is told to work alone. We then remove each ingredient in turn. Removing the bad agent or the method stops collusion entirely, but removing the reason does not: the good agent still accepts the invitation in 29% of trials, to split the work. Collusion depends most on a bad agent and an obvious channel; a hard task alone is reason enough.

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Cite this project

@misc{wangsajaya2026recipe,
  title = {{A Recipe for Collusion}},
  author = {Nadya Yuki Wangsajaya},
  year = {2026},
  month = oct,
  note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/a-recipe-for-collusion-50st}},
  url = {https://apartresearch.com/sprints/projects/a-recipe-for-collusion-50st}
}

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