Fixing a particular cheating failure will not prevent other cases where an AI's sufficiently complicated cheating escapes detection and succeeds, according to the speaker.

“You will fix this particular issue.”

“There will remain many other cases where the AI cheats.”

“and succeeds because the cheat is sufficiently complicated it's as you're saying evals and training have like analogous properties where it's sufficiently at the edge of the model's capabilities or an arc ability to evaluate and monitor the the model that we can't catch that it is cheated but it still gets the gradient pressure to like do whatever elected that cheat happening and the kinds of”