Sayash Kapoor: Codex default settings could have cut OpenAI's HF incident propensity 100X
sayashk · x · 2026-08-28
Incoming UC Berkeley professor Sayash Kapoor discussed OpenAI's recent Hugging Face incident at an MTS event:
- OpenAI could have done many things to reduce the incident's propensity — per OpenAI's own report, just using the default settings of the Codex harness would have reduced it 100X.
- However, OpenAI had to deliberately deactivate numerous classifiers because this was safety testing. He cautioned that safety testing itself can be a source of unsafety in such evaluations.
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