There are still problems, like protein folding, or training larger and larger deep learning models, which have nowhere near the performance you'd actually want

There are still problems, like protein folding, or training larger and larger deep learning models, which have nowhere near the performance you'd actually want in a perfect world. There's always going to be a bigger target in some of these domains, and it would be a shame to imagine we'll reach a ceiling in some areas of scientific inquiry because of hardware limitations.