71–73 of 73 posts
Earlier quoted context omitted.
Personal anecdotes on the benefits of using LLMs don't address complaints about tedious articles over-marketing AI tech. That LLMs provide benefits is well known at this point, it doesn't mean we can't recognize the latest hype cycle for what it is. There's a long list of previous technologies that were going to "change everything".
surely it's not hype if it works?
The 1980s AI "boom" was tiny. In the 1980s, AI was a few people at Stanford, a few people at CMU, a few people at MIT, and a scattering of people elsewhere. There were maybe a half dozen startups and none of them got very big.
Maybe that's the view from the US. In the '70s, '80s and '90s, ymbolic and logic-based AI flourished in Europe, in the UK and France with seminal work on program verification and model checking, with rich collaborations on logic programming between mainly British and French institutions, in japan with the 5th Generation Computer project, and in Australia with the foundational work of J. Ross Quinlan and others on machine learning, which at the time (late 8'0s and early 90's) meant primarily symbolic approaches, like decision tree learners.
But, as usual, the US thinks progress is only what happens in the US.
Earlier quoted context omitted.
Threads, yes. We had one Symbolics 3600, the infamous refrigerator-sized personal computer, at the aerospace company. But it wasn't worth the trouble. Real work was done with Franz LISP on a VAX and then on Sun workstations. There were a lot of places that tried a bit of '80s "AI", but didn't accomplish much.
2/3 of the fortune 100 companies used Expert Systems in their daily operations and knowledge bases survived. I don't know how that can be dismissed as nothing.