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Sprint projectOct 26, 2026Brisbane, Australia

What a Monitor Sees Matters More Than Its Size

Aleksei Kislov

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

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AI agents increasingly act on people’s behalf, creating opportunities for secret coordination at others’ expense. LLM monitors offer a potential defence, but what evidence should they receive? I test whether combining agents’ messages and actions improves collusion detection, and whether a more capable monitor performs better with the same inputs. In a four-player El Farol game, two agents were secretly instructed to maximise a shared score while concealing their team. For each player model (Claude Haiku 5.5 and Opus 5.5) I ran 30 secret-team and 30 no-team games. Haiku and Opus monitors scored each game from its messages, actions, both, said-vs-did statistics or private plans. Haiku teams colluded profitably; Opus teams kept a fair rotation and gained nothing. On Haiku games, the Haiku monitor performed best with actions alone (AUROC 0.75). Messages alone were at chance (0.46), and adding them to actions reduced detection (0.60). The larger Opus monitor performed at chance across public views, while scoring cost 16 times as much. Greater reasoning effort increased the Haiku monitor’s suspicion without improving discrimination. With private plans, both monitors perfectly distinguished team from no-team games. What a monitor sees mattered more than its size or reasoning effort.

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Cite this project

@misc{kislov2026monitor,
  title = {{What a Monitor Sees Matters More Than Its Size}},
  author = {Aleksei Kislov},
  year = {2026},
  month = oct,
  note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/what-a-monitor-sees-matters-more-than-its-size-domy}},
  url = {https://apartresearch.com/sprints/projects/what-a-monitor-sees-matters-more-than-its-size-domy}
}

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