Red-teaming is the only reliable way to verify AI safety measures, researcher argues
dfrsrchtwts · x · 2026-11-11
AI safety researcher dfrsrchtwts argues that red-teaming is the only reliable way to check whether safety measures work, since there is no good science of AI motivations, capabilities, or control. A safety system that cannot be red-teamed therefore cannot be trusted.
In a follow-up he highlights a sharper problem: if safety training starts from initialization, red-teaming it requires an adversarial initialization rather than an adversarially trained model with bad motives — significantly raising the verification bar.
Related event: Researcher Proposes Rule: Don't Deploy Safety Systems You Can't Red-Team(2 posts)→
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