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Posted by giuliomagnifico 12 hours ago

GPT-Synopsys: Frontier Intelligence to Revolutionize Chip Design(news.synopsys.com)
155 points | 90 commentspage 2
MisterMunchkin 7 hours ago|
ChatGPT, pretend you are a grizzled hardware engineer and make me a 1nm chip for the iPhone.
varispeed 10 hours ago||
Something like JLCPCB but for chips would be revolutionary.

Can't wait for vibe coded SoCs.

da-alex 9 hours ago|
Would be really nice honestly. But I don't think it will be coming anytime soon, it's just too expensive to build a chip. The one-time costs for masks are just much more expensive as for PCBs, so wafer shuttle services are still really expensive when pooled PCBs are really cheap. And any machines that would be cheaper for prototyping (direct laser writing or direct e-beam writing) don't scale to mass production.

You can already make (tiny) chips for a somewhat affordable cost with tiny tapeout. But that's still not nearly as cheap as PCB prototypes and with much longer wait times.

asgeirn 11 hours ago||
Prompt injection in hardware! What could possibly go wrong?
Archit3ch 10 hours ago||
Astra is amazing with open PDKs. ;)
CurbStomper3 10 hours ago||
[dead]
ngl999 8 hours ago|
It's hard to believe these probabilistic language model can replace deterministic, precise control of matter needed in hardware design.
Archit3ch 7 hours ago||
You get your non-deterministic process (hired humans or LLMs) to create deterministic scripts (='generators' in EDA terms), which can then be audited, corrected, etc.

DRC/LVS/PEX/SPICE are deterministic, but the tools themselves are not without faults.

evan_a_a 5 hours ago||
Physical design (what this seems to be targeting) already uses non-deterministic algorithms because floorplanning, placement, and routing are all difficult problems to solve with a deterministic algorithm. Introducing probabalistic approaches helps to find the right fit within the constraints.