Eh, honestly? We're not that far away from models training themselves (opus 4.6 and codex 5.3 were both 'instrumental' in training themselves).
They're capable enough to put themselves in a loop and create improvement which often includes processing new learnings from bruteforcing. It's not in real-time, but that probably a good thing if anyone remembers microsofts twitter attempt.
I was thinking in the same way that the human brain's design came about from evolutionary trial and error, we may be close to a situation where we can do something like that for the artificial neural networks and have the computers improve them by fiddling about.