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Prior to 2021/202-whenever, most sensible people called this stuff deep learning / machine learning etc. For over 15+ years it’s been called machine learning —
by dijksterhuis 2y ago
Prior to 2021/202-whenever, most sensible people called this stuff deep learning / machine learning etc. For over 15+ years it’s been called machine learning — “getting machines to complete tasks without being explicitly programmed to do so”.
since 2021/whenever LLM applications got popular everyone has been mentioning AI. this happened before during the previous mini-hype cycle around 2016-ish where everyone was claiming neural networks were “AI”. even though, historically, they were still referred to by academics as machine learning.
no-one serious, who actually works on these things; isn’t interested in making hoardes of $$$ or getting popular on social media, calls this stuff AI. so if there were a wikipedia link one might want to include on this thread, I’d say it would be this one — https://en.m.wikipedia.org/wiki/Advertising https://en.m.wikipedia.org/wiki/Advertising
because, let’s face it, advertising/marketing teams selling products using linear regression as “AI” are the ones shifting the definition into utter meaninglessness.
so it’s no surprise people on HN, some of whom actually know stuff about things, would be frustrated and annoyed and get tetchy about calling things “AI” (when it isn’t) after 3 sodding years of this hype cycle. i was sick of it after a month. imagine how i feel!
- edit, removed line breaks.
- aidenn0 2y agoMachine learning is a subfield of AI. Complaining about calling ML AI is like complaining about calling Serena Williams an "athlete" because she's actually a "tennis player"
- dijksterhuis 2y agoYou've missed the point I was making it seems, so I'll condense and focus down on it. The reason why the "AI" goalposts always seem to shift -- is not because people suddenly decide to change the definition, but because the definition gets watered down by advertising people etc. Most people who know anything call this stuff deep learning/machine learning to avoid that specific problem. Personally, I can't wait for people who work in advertising to get put on the same spaceship as the marketers and telephone sanitizers. (It's not just people in advertising. i just don't like advertising people in particular). -- I'd argue machine learning is actually a sub-field within statistics. but then we're gonna get into splitting hairs about whether Serena Williams is an athlete, or a professional sports player. which wasn't really the point I was making and isn't actually that important. (also, it can be a sub-field of both, so then neither of us is wrong, or right. isn't language fun!).