342 karma · joined November 12, 2008
GPUs are obviously subject to that, especially if you look at the affordable part.
Moore's law scaling has been over for about three years, few people noticed.
Ah, there it is https://techcrunch.com/2018/03/20/these-are-the-64-startups-...
The bar is too short for Transmeta and too broad for AMD. It could well be Intel, judging from their other slide using Intel in the same location and font.
Actually, it is exactly the other way round: most problems in the real world are about local communications of cells in a 3 dimensional lattice. Including, relativistic limits to communication. So an ideal architecture for that is a 3D cellular automaton. With bigger cells, you've got nodes on a 3d mesh (torus). Incidentally, the topology of most supercomputers.
What's left is wafer scale integration and stacking. And, making the cells smaller, which is not a silicon design problem but computer science brain damage problem.
We've seen how well that works with Wikipedia. This is only solvable by presenting a filtered view for each user. The Wikipedia principals have no skills nor an interest to produce such infrastructure.
Provably optimal classical computing substrate is a hardware cellular automaton. We know this, we've known this for 50 years at least, we still don't go there directly.
This would even work with purely photonic relativistic cut-through.
This would be a good way to finish off Google search and Gmail, and Calendar, and Drive.
> google map, because it has absolutely zero decent competitor
Dedicated navigation device from Garmin in the car and Openstreetmap for everything else.
If you apply the same unemployment metrics as Austria, Germany has pretty much exactly the same unemployment rate as Austria.
Can you take a look at it again? It's not my area of expertise.