Its funny how fast we forget that when Google came out and arguably now many would laugh at the statement "all the good, companies like Google brought to the internet"
It's unlikely I would have had the confidence to do it from YouTube alone, specific diagnostic help and a full diagram to work off of was extremely helpful. I had it prepare an SVG of the whole assembly with all the measurements and parts labeled.
I expect that it's good for common use cases that's well documented. But then, so are a lot of other approaches.
That’s the thing with AI - its responses sound plausible enough to non-experts but time and time again I see experts in any given field being able to identify AI content by pinpointing subtle but crucial errors. That’s one of its dangers - it gives you enough confidence to shoot yourself in the foot.
If ever there were three adjectives which do NOT apply to generative AI...
Only a novice would look at ai code and say “wow this is good”.
Funnily enough, I've had a somewhat mixed-to-hostile response when trying to upstream the vibecoded fixes, so I suspect using an LLM to fix broken open-source software (that human maintainers don't have the time to fix themselves, nor the humility to accept an LLM-authored fix) will become more of a thing going forward too.
Oh, it's also been identifying a bunch of patterns in sales data for my business that has been increasing monthly profit consistently since last November (around $4,000 USD, every month, cumulatively so far with no sign of slowing down - could easily be $10k/mo in increased gains by end of financial year).