I've done no such thing.

I called it half-decent, spooky, and admirable.

That turns out to be good enough, for a bunch of applications. Even the parts that are just a chatbot fooling people are useful. And massively better than the era you're comparing this to.

We have to deal with this honestly. Neural networks have officially caught on, and anything with examples can be approximated. Anything. The hard part is reminding people what "approximated" means. Being wrong sometimes is normal. Humans are wrong about all kinds of stuff. But for some reason, people think computers bring unflinching perfection - and approach life-or-death scenarios with this sloppy magic.

Personally I'm excited for position tracking with accelerometers. Naively integrating into velocity and location immediately sends you to outer space. Clever filtering almost sorta kinda works. But it's a complex noisy problem, with a minimal output, where approximate answers get partial credit. So long as it's tuned for walking around versus riding a missile, it should Just Work.

Similarly restrained use-cases will do minor witchcraft on a pittance of electricity. It's not like matrix math is hard, for computers. LLMs just try to do as much of it as possible.