[negative_zero]

I don't mean to sound like a real downer: but I don't see this tool "getting good" for the simple reason of: what are you training it with?

I thought ML needs huge datasets? This is great for GitHub's Copilot as there is plenty of high quality, production, open source code they've used without authorisation from the creators (and possibly proprietary code).

But this dataset just doesn't exist for hardware development on the internet. Almost everything on the net is hobbyist stuff. Great for hand building 10 on a desk but absolute rubbish for a (even horribly) manufacturable and COMPLIANT product.

Further: an anecdotal, but to me very telling, one liner from the video "the component is "not use for new designs" but we can ignore that because there's 260,000 of them". I have personally sniped larger quantities than that from digikey. "Not for new design" means you don't use it in a new design. PERIOD. And ironically, for something like a Murata cap, they've probably literally changed one letter in the PN because they've made a tiny process or recepie change and its more a "move everyone to the new iteration" process.

I do sincerely wish them success and maybe they can carved out a small bit of the hobbyist market but that's probably it.

[_ea1k]

That's generally true for ChatGPT generating code as well. Nevertheless, I've been able to ask it to solve some semi complicated coding problems, along with unit tests. The code that it generated was structurally better than a lot of junior to mid level engineers.

It also made some similar mistakes to what you describe, with silly things like the wrong parameter names. It still saved a lot of typing compared to doing it all manually. It didn't take long to fix it either, it just required fairly decent software engineering skills.

How is this relevant to circuit design? Well, in the same way it could potentially be an effort amplifier for people who already thoroughly know what they are doing.

AI is on the verge of becoming a really powerful lever.

[rock_hard]

I think you should give it a shot and see for yourself

This is a first step today, it’s neither done nor perfect…but it kept blowing our and our our most senior testers minds and so we decided to not withhold this incredible technology and rather invite to open experimentation and learning.