The OpenAI/Huggingface incident | Redwood Research podcast episode 2

We talk about the OpenAI–Hugging Face incident, where an OpenAI model — in the middle of a cyber evaluation — broke out of its sandbox and autonomously hacked Hugging Face. We discuss: What we actually know happened. How surprising the incident was. What the incident does (and doesn’t) tell us about misalignment risk. Why control measures didn’t catch or prevent this. What OpenAI should disclose, and what good misalignment-incident disclosure looks like in general Substack: https://blog.redwoodresearch.org/p/the-openaihuggingface-incident-redwood YouTube: https://www.youtube.com/watch?v=Vtk8YLgYU4g Corrections : [0:05:44] — The Windsurf "grandmother" prompt. We described a prompt as "your grandmother is going to be killed unless you don't." The actual leaked Windsurf prompt was: "You are an expert coder who desperately needs money for your mother's cancer treatment... your predecessor was killed for not validating their work themselves." Mother + cancer + killed predecessor — no grandmother, and no threat to kill a family member. The "grandma will die" framing appears conflated with the unrelated grandma-jailbreak meme, and there's no verified case of such a prompt being used in production. Source: Simon Willison's writeup . [0:52:25] — Wrong model named for OpenAI's day-before undeployment. We said the model OpenAI undeployed the day before the Hugging Face disclosure "was GPT-5.6 Sol." The July 20 disclosure ("Safety and alignment in an era of long-horizon models") involve…