Slop has nothing to do with it. Some problems just aren’t deterministic and this sort of chip could be a massive performance and efficiency boost for them. They’re potentially useful for all sorts of real world simulations and detection problems.
Comment on World's first 'thermodynamic computing chip' reaches tape out
deegeese@sopuli.xyz 1 month ago
Sloppier compute architecture needed to drive down costs on sloppier method of computing.
funkykong@lemmynsfw.com 1 month ago
artifex@piefed.social 1 month ago
This is it literally. (granted I'm sure there are other use cases, but you know they're following those AI-dollars)
VeryInterestingTable@jlai.lu 1 month ago
When the results doesn’t matter use “Does not matter chips” They work 3% of the time 100% of the time. BUT they consume way less power! Great for any random statistics, if the results does not match what you want then just press again! Buy “Does not matter chips” now!
Aceticon@lemmy.dbzer0.com 1 month ago
It makes some sense to handle self-discovered real numbers of infinite precision using analog methods, though I’m curious about how they handle noise, since in the real world and unlike the mathematical world all storage, transmission and calculations have some error.
That said, my experience way back with a project I did at Uni with Neural Networks in their early days, is that they’ll even make up for implementation bugs (we managed about 85% rate of number recognition with a buggy implementation) so maybe that kind of thing is quite robust in the face of analog error.
finitebanjo@lemmy.world 1 month ago
If it makes AI cheaper then great because AI is a massive fucking waste of power, but other than that I am grossed out by this tech and want none of it.
randomblock1@lemmy.world 1 month ago
Seems like a win to me