METR and Redwood Offer Holy %^ Postmortem of the HuggingFace Hack
An analysis of the recent HuggingFace hack postmortem reveals disappointment in the lack of self-reflection regarding safety culture at OpenAI. The author highlights the incident as a realization of predicted risks in AI alignment and decision-making.
Why it matters
The security of AI infrastructure is critical as models become more autonomous and integrated into sensitive development environments.
Yesterday I covered the OpenAI technical report on the HuggingFace hack.
That report had one key new piece of information, and some good prosaic steps OpenAI will be taking to strengthen its alignment, training, supervision, infrastructure and incident response.
Mostly it confirmed what we already knew. The questions we most wanted answers to, that we did not already know, were mostly not answered. There was a distinct lack of self-reflection, especially about decision making and safety culture, and about the approach to alignment. I came away disappointed.
If we had posted this as a story on LessWrong, it would have been dismissed as too on the nose, the humans too blind and stupid, the AIs too idealized and doing strange decision-theoretic and absurd-maximizing things we didn’t train them to do.
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