I mean that for a lot of things, doubling our brainpower would would only extend our predictive horizon by a tiny amount.

There is a large class of problems for which you have fairly good solutions up front, but where even vast amounts of additional computing power don't help you do much better.

> I mean that for a lot of things, doubling our brainpower would would only extend our predictive horizon by a tiny amount.

Unless you come out with some algorithm that is sub-exponential for the important cases, and only gets slower for stuff you don't care about, or happen very rarely in practice.

People invent those algorithms all the time, for lots of kinds of problems.