Exactly. Right now, the best an athlete can do is to just give it their all, and I guess for a lot of people that would be what gymnastics is about. The potential for optimization with such machines is just on another level. You can re-run others' routines to see how you'd have scored, you can do thousands of reps to test the limits of the algorithm, you can code ragdoll simulators to find pockets of optimization,... Gymnasts will be discussing software glitches, version differences, how to 'break the algorithm'. Not even saying that's a bad thing, maybe it'll do for gymnastics what AI did for chess, open it up to a wider audience. Just saying that it could lead to a very different gymnastics scene, that will maybe look a bit more like eg the speed running communities for video games.

I wonder if having some intrinsic randomness to the AI model would help to mitigate this problem? So that each AI has a subtly different perception of the move, and in order to satisfy every possible judge, the gymnast would need to complete the move as comprehensively as possible.

Is it established that an AI judge would judge everyone the same? That it would be impartial?

>There is no one standard human judge to abuse but with AI there is a single standard.

Having one and only one judging standard is a good thing.

The "AI" already hallucinates doesn't it?