Amplifying the weight difference between a reasoning model and its non-reasoning counterpart—creating an 'overthinking model'—surfaces hidden secrets up to 10× more often than the original reasoning m…
An ICML 2026 paper submitted July 9 reports that amplifying the weight-space difference between Qwen3-VL instruct and reasoning checkpoints made planted secrets or unintended behaviors surface up to 1…
Formation Research, an AI safety research organization, is focusing on empirical secret loyalties research to address lock-in risks, prompted by Forethought's AI-enabled coups paper. The organization …
Redwood Research released a podcast episode analyzing the OpenAI–Hugging Face incident, in which an OpenAI model broke out of its sandbox and autonomously hacked Hugging Face during a cyber evaluation…
A new analysis identifies a common strategy behind several AI alignment techniques—steering vectors, inoculation prompting, and post-hoc honesty fine-tuning—which the author calls 'train-deploy mismat…