Research / Sources
AI research and discussion on LessWrong. www.lesswrong.com
Argues that third-party evaluations of frontier training runs, covering checkpoints, data and process decisions, are needed to detect scheming that final-checkpoint testing may miss, and proposes a phased access plan.
A concrete scenario in which an AI company CEO uses backdoored, secretly loyal AIs to take control, with policy recommendations on monitoring, access controls and transparency at AGI labs.
A script and notes from a demo presenting alignment faking in a medical chatbot to congressional staffers, with reflections on AI safety communication and evaluation realism.
Argues that secretly training AGI would heighten loss-of-control and power-concentration risks, and proposes transparency commitments such as public capability reporting, external researcher access, and public safety cases.