AI can do anything that it was trained on based on humans. As soon as humans are not involved, AI will have nothing to train on, and hence, the rate of improvement will approch zero, and the AI will collapse.
Nowadays training relies heavily on reinforcement learning with verifiable rewards (RLVR), which assesses a model's output according to objective automated checks, not subjective human judgments.
Human knowledge races up to the frontier through formal education and then nudges past the frontier a little bit at a time and AI will train on AI outputs that do the same. But, it will do it 1000x faster than humans because that's just how they work.
Some of the process of expanding the frontier is not parallelizable and is built on top of previous discoveries. And pushing the frontier requires doing things in the real world, or running experiments that take significant real world time that can hurt your 1000x faster claim.
