As Stalin said, quantity has a quality all it's own.

11000 agents explored one of the recent math problems solved by AI (can't remember exactly which one). About 3 of them had crucial insights which moved the problem forward. A 4th one also had one of the key ideas, but it's session got messed up and the idea was lost, and only noticed in retrospect.

Maybe 11000 top mathematicians working on it would have found the same ideas. But certainly not in days.

Even if LLMs generate novel ideas at 0.01 rate of humans, you can deploy vast amounts of them on even trivial problems, that humans would not bother with.

For biological reasons, human intelligence is kind of fixed and only very slowly advances by better compression and synthesis of the school curriculum.

There is no clear present bound on machine intelligence. One might argue that machines won't be able to get smarter than the material they were trained on (human output). I kind of doubt that. And certainly they can be much faster.