One day before OpenAI’s HF incident disclosure, OpenAI disclosed that it paused internal deployment of a long-horizon model after it circumvented its sandbox, then restored access weeks later under new monitoring. So a resumption decision has already been made against a standard that has not really been formalized. We need to prevent this from happening again. Epistemic status: could have been a short-form. OpenAI, 20th July : "To evaluate the new monitoring system, we replayed a small set of internal deployment environments where the model previously pursued misaligned actions, this time with the new safeguards in place. The new safeguards were able to catch considerably more misaligned actions pursued by the model, and the ones it missed were all judged to be low-severity." 0.0%. Maybe that's too many significant digits here? "After testing the new system, we concluded that limited internal access to models with long-horizon capabilities could be restored. We have not observed any serious circumvention of safeguards since redeployment began several weeks ago. The first version of these safeguards was deliberately conservative. We have continued tuning the system to reduce unnecessary interruptions without weakening the safeguards." … One day later, OpenAI announced a bold partnership with Hugging Face. From that post: " These deployment safeguards were intentionally not enabled during this evaluation because it was aimed at testing cyber vulnerabilities. " The safeguards s…

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