The air begins to leak out of the overinflated AI bubblewww.latimes.comexternal-link db0 ( @db0@lemmy.dbzer0.com ) TechTakes@awful.systemsEnglish • 2 months ago message-square11fedilinkarrow-up172
arrow-up172external-linkThe air begins to leak out of the overinflated AI bubblewww.latimes.com db0 ( @db0@lemmy.dbzer0.com ) TechTakes@awful.systemsEnglish • 2 months ago message-square11fedilink
minus-square David Gerard ( @dgerard@awful.systems ) linkfedilinkEnglish15•2 months agoThis is why you should never allow the use of the marketing term “AI”, and instead always refer to the specific technologies. The use case for the term “AI” is to conflate things that work (ML) with things that don’t work (LLMs).
minus-square mountainriver ( @mountainriver@awful.systems ) linkfedilinkEnglish4•2 months agoOk, point on language. But I thought LLMs were machine learning, or rather a particular application of it? Have I misunderstood that? Isn’t it all black boxed matrixes of statistical connections?
minus-square David Gerard ( @dgerard@awful.systems ) linkfedilinkEnglish2•2 months agothey’re related in that sense, but what they learn is which token to generate next.
This is why you should never allow the use of the marketing term “AI”, and instead always refer to the specific technologies.
The use case for the term “AI” is to conflate things that work (ML) with things that don’t work (LLMs).
Ok, point on language.
But I thought LLMs were machine learning, or rather a particular application of it? Have I misunderstood that? Isn’t it all black boxed matrixes of statistical connections?
they’re related in that sense, but what they learn is which token to generate next.