The amount of data may mean we have to wait for Moore's Law to keep improving things for a while though.
In this context, what matters is "how many operations can I get done for a dollar?", and that's still very much improving very fast, albeit not quite as fast as before.
https://cap.csail.mit.edu/death-moores-law-what-it-means-and....
I’m not making this stuff up.
Dennard scaling is long dead, as is the clock frequency race; but features are still slowly getting smaller (your own link says so), as is energy consumption per operation. The latter, J/op, is the critical issue for big data centres. Brains are obviously better than transistors at this, and IIRC by that measure transistors are still getting roughly twice as good every 2.6 years.
From the link: "Although miniaturization is still happening, the Moore’s Law standard of doubling the components on a semiconductor chip every two years has been broken"
I'm not saying things aren't getting smaller. I'm saying moores law is broken.
And I'm saying that Moore's original statement was already broken by 1975.
And that the whole phrase means loads of different things that Moore never actually said, and the one of those which matters here is still true.
That’s from the link. I largely agree. Colloquially it’s over after 2016. Any other interpretation is too pedantic imo.
(Well, dollars per operation, but assuming energy costs are fixed…)
Surely a daunting task, but depending on the tools used to create the smaller map, possibly a realistic one. Maybe with a bit of a less precision.
I don't mean to be facetious - I'm struggling to to see what other consideration this helps with.