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Developing Evaluation & benchmarks Signal 1d ago
⚡ 1 h early

Hugging face model evaluation security incident

18 experts across 6 network communities independently surfaced this.

18 experts 6 communities 1 sources clustered
Ethan Mollick Thomas Steinke Mor Naaman Tim Kellogg Djamé 🟥 Ryan Calo Grace Anna Mills +10

“Previously, these AI hacking stories were about breaches in test environments, where any question of AI breaching security was purely theoretical. This is something else. openai.com/index/huggin...”

“xkcd.com/2385/ openai.com/index/huggin...”

6 experts discussed this · 11 posts
Grace: This headline is extremely funny given what happened (OpenAI hacked HF by accident) openai.com/index/huggin...
Grace: Maybe the most concerning part is the OpenAI claim to not have known about this before investigating?
Grace: Well, I think the model passed the test
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Primary source openai.com ↗
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2 experts · 2 posts · 2d ago
Eugene Vinitsky Carlos Scheidegger
Eugene Vinitsky: I feel like I have no real sense of the coding agents error rates vs. my error rates on my tasks which makes appropriate mitigations challenging. Hard to navigate the speed vs. error curve that way
Carlos Scheidegger: (I know you know) Also, in OLS, the residuals are orthogonal to the regressors; but that's of course just not true with LLM workflows. That makes error rates and speed changes interact very weirdly
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