"If we talk about just LLMs"

In general we don't, as the "chatbots" already have way more capability than "just" being able to work with text, which "just" means encoding and processing real world information and lot's of it.

For example I just fixed the gearing of my bicycle by dropping some pictures into claude and it gave me a step by step guide to fix it.

"LLMs gave us nice productivity tools for highly motivated expert knowledge workers, that is all"

And I cannot understand how that can be "all" as it means giving this power to every human, not just the few in the position to hire expert knowledge workers. Steam engines gave us the capability to let machines do the hard labour. Now with better engines and tools, AI will give robots the capability to do allmost anything humans can do. If that is not revolutionary then I don't know what is.

The main reason we humans got to the top of the food chain was because we are expert knowledge workers, able to transform the world around us to our needs.

"but it is impossible to describe the universe and compress it into few terabytes and that is what they are doing atm effectively, so all serious LLMs's issues will still be there in 2040: the lack on continues learning, hallucinations, terrible sample ratio, agent's failures on long horizon tasks, instruction following failures."

So again, just limiting this debate to a simple fixed model - then no, not too useful - but a model that can take notes and at some point reliable clear up it's context - that is a whole different story.

And it has been repeated often enough, but AI does not need to be perfect - it just has to be as or more reliable than us humans. Because yes - AI does make misstakes - but so do humans.