Ask HN: Why is it taken for granted that LLM models will keep improving?

Whenever I see discussion of stuff like ChatGPT it seems like there is this common assumption that it will get better every year.

And in 10-20 years it’ll be capable of some crazy stuff

I might be ignorant of the field but why do we assume this?

How do we know it won’t just plateau in performance at some point?

Or that say the compute requirements become impractically high