Not trying to take it literally, but aren't there costs vs performance tradeoffs? Like the py.toHDL would have like (maxSize,maxCost,minThroughput) as free and that would determine energy usage?
And a GPU is already pretty optimized for inference, no? Like isn't it a bunch of FP mults? I don't think HDLs do well with that, either.
I think there's a difference. Sometimes you'll see some random LLM tells like load-bearing if looking, but you don't notice on a first pass. Those are fine. Slop is slop
I get a lot of this in design docs every time I give it a negative constraint:
[Suboptimal choice]
And here's why it's not suboptimal -- you said X sucks and notto do X, but this choice is not technically X, it's just really similar and shares that sucky property.
Isn't that the point of e2e encryption? Maybe I have a privileged US take but I've always not cared much for a border crossing in a round trip. It always seemed like a needless expense to have a full vertical server stack in each country to me.