Assertion Open AI assessment confidence: 80% certainty 4/5 debate potential 3/5

Kolter: Gray Swan's Shade system outperforms human red teamers at breaking models

Zico Kolter · AI Security After Codex and Claude Code — Zico Kolter & Matt Fredrikson, Gray Swan · Jun 22, 2026 · at 12:14

Zico Kolter reveals experimental results comparing Gray Swan's automated red teaming model Shade against human red teamers.

0:00 / 0:28exact quote · 28.5s
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“However, one thing that we are finding, and this is actually, I think we're kind of crossing this point too. Is that in a lot of the latest experiments, we can do much better than people, than human red teamers now at breaking these models. When I say we, I mean, our automated red teaming model is a system called shade. That system is now actually quite a bit better at breaking models than humans are. I think we had a recent competition between humans and our model, and it was actually quite a bit better.”

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