This is insane logic. Like there are killers in prison so all humans are killers type of nonsense. I can go out on the street and give someone a hundred bucks to say absolutely anything on camera. At an individual level, submitting this as proof of anything is psychotic. As far as I’m concerned the criminal gerrymandering corruption is the noise floor. When some asshat can lose the popular vote and still win, you better sure as hell show me evidence of a disparity greater than that percentage of difference. That is the standard of conservative criminality. Your standard. It works both ways buddy. If you can’t show multi sourced bipartisan evidence if this scale, you fail your own corrupt standards of voting requirements. You need proof of hundreds of thousands and not some tin foil hatted trailer trash speculative garbage or half baked conspiracy nonsense.
IIRC there was a blog post article in the last year-ish about a researcher at Intel that had been working on using FPGA’s for AI. IIRC, they mentioned that the issue they could not overcome was power and scaling. I seem to recall them mentioning that analog had a similar issue with scaling and throughput, but that is the weakest aspect I recall in my abstractions when my main curiosity is why large FPGA’s are not the present goto tech.
I’m on the edge of my understanding here, but I think the issue with analog is the depth of tensor rank dimensions. Analog is great and super efficient for the first few dimensions, but AI can have many rank dimensions, and there is no telling what the future of algorithms will hold. Building for optimising the way models work presently is practically guaranteed to result in a useless product by the time it is fabricated and brought to market.