HackTalk: Matthew Lee

​HackTalk: Matthew Lee

​Matthew Lee is Head of Development at Poseidon Research, an independent AI safety lab in New York City focused on deception and hidden information in AI systems. Poseidon Research's current work centers on models' capability and propensity for steganography, including model organism work to understand how sophisticated model-generated steganography can be, steganography via actions in an agentic setting, realistic conditions under which it emerges, and new black-box and white-box defenses. Matthew holds MScs in physics, the philosophy of science, and machine learning from the University of St Andrews, LSE, and UCL, respectively.

​Talk: “Defining AI Collusion”. In person at Collider in New York City (NYC hub participants), streamed on Zoom for everyone else.

​Format: 15-30 min talk + 10-15 min Q&A. Online (Zoom); the Zoom link is shown once you RSVP.

​Part of the AI Collusion Research Sprint, October 23-25, online and at hubs in New York City and Hong Kong. Co-organized by Apart Research, Poseidon Research and AE Studio, sponsored by Modal, The AI Alignment Foundation and Nebius.