Claude+

(thanks to Alex Mallen, Cody Rushing, Zach Stein-Perlman, Hoagy Cunningham, Vlad Mikulik, and Fabien Roger for comments)

Sometimes I hear people argue against AI control as follows: if your control measures rely on getting good judgments from "trusted" AI models, you're doomed because AI models aren't adversarially robust. I agree that better adversarial robustness would definitely help with control, but I think this argument misses several important points; my overall take is that current levels of adversarial robustness don’t come close to dooming AI control.

The first and most important point is that adversarial robustness is normally researched in a setting that’s much easier for the adversary. In most discussions, if an adversary can ever get a model to do something bad—even after many attempts and with a low success...