TREE NEWS update: OpenAI said in a blog post that it expects upcoming models to be able to identify and exploit previously undetected security vulnerabilities. The company resumed reinforcement-learning training and internal inference work for frontier models on Oct. 1. It has added red-teaming in high-compute environments, covering cyber offense and defense, to its safety assessments to determine whether frontier-model training and evaluation can proceed safely.
OpenAI expects future models to find and exploit undisclosed security flaws
The shift here is procedural rather than technical: OpenAI is folding cyber offense and defense into the gatekeeping that decides whether frontier training and evaluation can proceed at all. That matters most for security teams and AI labs, since it implicitly acknowledges that capability gains in vulnerability discovery may arrive before the defenses against them. Whether red-teaming at this stage becomes a real constraint on training timelines, or a checkbox alongside it, is the open question worth watching.
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