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Very limited study. A lot of datasheets are inaccessible without signing an NDA. Even if you're a VC-backed enterprise, some unnamed chip vendors will tell you
by extralongdivisi 1mo ago
Very limited study.
A lot of datasheets are inaccessible without signing an NDA. Even if you're a VC-backed enterprise, some unnamed chip vendors will tell you to pound sand if you're less than 8 figures of annual revenue.
Worse, many recommendations in datasheets were written in the 80s, overkill for many applications, or completely wrong and won't be updated until an errata is published 6 months later. Given current workflows, I don't see how AI would help designing a PCB with an alpha chip that's doing anything remotely novel.
More to the articles point, AI designing ASICs or other Verilog/HDL defined components could be very interesting use case
- edg5000 1mo agoWhat kind of chips are you talking about? I guess most ARM SoCs and maybe RAM/ROM ICs?
- extralongdivisi 28d agoMy most recent experiences have been those chips, yes. Re: my point about doing novel things.
- lefra 1mo ago> A lot of datasheets are inaccessible without signing an NDA Only for very high-end stuff, where just designing the board around the chip needs a team of engineers.
- extralongdivisi 28d agoNot necessarily true, most recently I was working with an USB 3.1 chip that anyone can buy off DigiKey, but I had to call contacts at 4 seperate companies just to get firmware to make superspeed work. We werr just too small of a fish to make the chip vender care. This is becoming more true as a larger percentage of hardware infrastructure is occupied by the datacenter economy.