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OpenAI President Greg Brockman clarified that the model involved in the recent HuggingFace incident lacked specific alignment training, distinguishing it from their standard safety protocols. This revelation highlights a critical distinction between base model capabilities and aligned versions, offering insight into how different model variants are deployed and secured within the ecosystem. Understanding these deployment nuances is essential for assessing current risks and the maturity of AI safety practices in open-source environments.

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Brockman says HuggingFace incident model had not been alignment-trained; ETA: roon clarifies that it was

LessWrong14 septembrie 20261 min de cititArticolul și perspectiva sunt în engleză.

On today's episode of the podcast "Odd Lots", OpenAI President Greg Brockman said (at around 8:40): "This model that did/had the HuggingFace incident actually had not gone through our alignment training, yet." I assume Brockman is specifically referring to the "Highly Persistent Internal Model" as it's called in the METR/Redwood report. As far as I know, OpenAI has not said before whether this model had been alignment-trained or not. ETA: As pointed out by Matrice Jacobine, X user roon (who works at OpenAI) says: "greg probably doesn’t have the full details, I think it’s safe to say it didn’t go through the full gauntlet of alignment posttraining. but it was alignment trained, and had reasonable looking scores on alignment evals (at the time)." Discuss

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