Earlier quoted context omitted.
> In future are we going to have same model for everything? A model that knows more in general, will often be better at specific tasks. e.g. If you ask a model to "make a program that estimates the annual production of a solar installation", it needs to have been trained on a lot more than just Python code.
> A model that knows more in general, will often be better at specific tasks Is this your hypothesis or broad conclusion among AI experts?
I'm not an expert, but I believe it's an accepted phenomenon that https://en.wikipedia.org/wiki/Transfer_learning is more broadly applicable than expected. I think there was a paper that showed an AI trained on multiple games outperformed one trained on a single game. (Maybe it was https://deepmind.google/blog/sima-2-an-agent-that-plays-reas... ?)