[xnx]

> 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.

[JumpCrisscross]

> A model that knows more in general, will often be better at specific tasks

Is this your hypothesis or broad conclusion among AI experts?

[xnx]

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... ?)

[lifty]

You might combine a general world model with a python coding model in that case. Not sure if it's better, just saying.

[lukeschlather]

What's the difference between a "general world model combined with a python coding model" and a multimodal LLM?