Computation may be increasing, but that is a statement about the short-term not the long-term.
If we want to predict the future then we care about: how many capabilities can you fit on a phone-sized computer? And I believe that the answer is: a lot.
Feels like they will eventually converge unless some big breakthrough happens that only benefits the large models.
At the same time, there's no evidence that even at the scale of GPT-4 they are seeing diminishing returns. I don't see why that would be the case, either, so long as there's more data to feed into the models. IMO the cliff will occur once the models become large enough that no amount of naturally sourced data is enough to saturate them, but, well, we aren't even at 1% of the Internet yet.
https://epochai.org/blog/algorithmic-progress-in-language-mo...