Here's Our First Gemini Deep Think LLM-Assisted Hardware Design
We've been using LLMs for software and firmware for years... now we're trying hardware. Threw a MAX44009 datasheet at Gemini Deep Think, asked for an EagleCAD library file, and about 10 minutes later it popped out working XML. Loaded it in Eagle, checked the pins and dimensions, rolled with it.
@adafruit but… why? You talk about how this piece was made but don’t actually describe what it does. Why would I want yo buy this hardware? The only advantage you’re giving me is it was designed by AI.
AI sucks, you should feel bad for using such environmentally regressive tech, and you should feel embarrassed that your embrace of this imprecise, unproven technology shows your institution has poor critical thinking.
@sidereal @Em0nM4stodon @adafruit man I recommended adafruit on my website, guess its time to delete that part =(
@adafruit So what you're saying is you had a software tool assist you in stealing from designs made by other people, which you're now selling for a profit. Got it.
@adafruit good for you, and for me. I can now buy the Chinese clones of your hardware without a bad conscience.
@mavu @adafruit Why though? This is a perfect use for generative AI. Creating footprints is pure slog work, pad size, pad spacing, solder paste, solder mask, silk screen. Look up the the sizes in the data sheet, or a seperate sizing spec sheet if it's from TI. The associate pins with pads. It can take hours and at the end you have a schematic component so now you can begin the actual engineering.
@orangutanlibrarian @adafruit because genAI companies are anti-social parasites who only thrive by stealing everyone's creations without asking for permission or giving even a thought to compensation. From music to art, from books to shitposts. Everything stolen and the result sold for money.
They destroy lives of people from artists to engineers.
They eat energy and capital at an insane rate, and the crash will be a desaster.
Use genAI and accept all of the above as inevitable, or fight it.
@malachai @adafruit I mean no disrespect when I ask why this is not an appropriate use generative AI? Capturing footprints and schematic symbols is pure drive work that can take hours before you even start the actual engineering. The tech bros talk a lot of crap, but getting the machines to do these boring robotic tasks really does free up engineers to do creative work.
@orangutanlibrarian @malachai @adafruit not really, managing the library and footprints is about 1/10 of thr work load of electrical design. Hardly ever you need to make your own footprint since most components use standard footprints. Realistically most vendors already offer kicad library files if not the footprint files. I would wager it takes me more work checking if the shitbox machine generated correct files then I am making my own files.
@tretron @orangutanlibrarian @malachai @adafruit and let's not forget that this technology currently burned through 840 billion $ of aggregated funding. With a microscopic fraction of that budget we could probably automate the issue away with a suitable and reliable tool. For that kind of money every problem you can think of has a better solution than an LLM.
@gabrielesvelto (removed other respondants not to spam with messages)
I did a bit of estimation and 840 bilion $ would roughly equate to 56700 metric tons of CO2 reduced. Which would save human kind a collective 10,489,500,000 $ in climate related damages annualy. And ofcourse this does not take into account what such a boom of money would do to the reduction in price for green energy. so the effects would be even greater.
