Best of all he even published on Github the result so that, hopefully, others benefit from his effort without even having to do it again.
Best of all he even published on Github the result so that, hopefully, others benefit from his effort without even having to do it again.
Quite a different message than yours.
My point was to share a related anecdote on using LLM to making seemingly unusable hardware usable again, which seems feasible (hence sharing the anecdote to confirm from another source) and IMHO a positive use case, while so many others are not necessarily so.
When I was in college I had an ARM Chromebook which didn't have the Wacom driver, so I wound up trying to use the then-new Chrome USB APIs to make myself a tablet driver in a Chrome extension. This was long before LLM coding was a thing, but thanks to the Linux wacom.ko it wasn't really an obstacle.
The biggest problem I had was that while I was decoding digitizer inputs just fine I had nowhere to put them. I tried making a simple painting app in JS and it worked but without having native cursor movement it was just too jank and I gave up.
I eventually uploaded the code for posterity sake. I doubt it works at all anymore, even with the specific tablet it was hard-coded for. But it's still online, anyhow.