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Sprint projectMar 31, 2025London
3rd place by peer review

Model Models: Simulating a Trusted Monitor

Louis Thomson, Alex Holness-Tofts, Jasmijn Remmers, Xanthe Spence, Lennie Wells, Charlie Griffin · Team Charlie's Angels

Submitted to AI Control Hackathon 2025. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: Model Models: Simulating a Trusted Monitor

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We offer initial investigations into whether the untrusted model can 'simulate' the trusted monitor: is U able to successfully guess what suspicion score T will assign in the APPS setting? We also offer a clean, modular codebase which we hope can be used to streamline future research into this question.

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Cite this project

@misc{thomson2025model,
  title = {{Model Models: Simulating a Trusted Monitor}},
  author = {Louis Thomson and Alex Holness-Tofts and Jasmijn Remmers and Xanthe Spence and Lennie Wells and Charlie Griffin},
  year = {2025},
  month = mar,
  note = {Submitted to AI Control Hackathon 2025, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/model-models-simulating-a-trusted-monitor-r682}},
  url = {https://apartresearch.com/sprints/projects/model-models-simulating-a-trusted-monitor-r682}
}

Build something like this at the next Sprint

Swarm Alignment Hackathon · Nov 6 - 8, 2026