Because the hard part is getting the simulation to be very accurate such that if you design something that works in your simulator, it will actually work in real life. And I would be extremely surprised if any LLM can actually do that correctly.

Getting an LLM to design something in its own simulator that is not accurate w.r.t reality is not useful nor terribly impressive.

Maybe this is the level of simulation we need: https://qntm.org/responsibilit

Given a budget and the right amount of access, I see no reason why an LLM/agent couldn't right now order parts from a "supplier", instruct the human meat machine to insert the device onto a connected test bed, and iterate. This is essentially what Claude Fable can do currently with any connected device and tools it had access to.

The repo claims they tested with an FPGA. To be fair it is not the same as an ASIC, and we have no idea what errata abound, but it actually did make a thing that spat out tokens.

That’s fair, I have no idea if this simulator is actually accurate but I appreciate the response.