db0@lemmy.dbzer0.com to TechTakes@awful.systemsEnglish · 3 months agoThe air begins to leak out of the overinflated AI bubblewww.latimes.comexternal-linkmessage-square12fedilinkarrow-up1129arrow-down10cross-posted to: [email protected]
arrow-up1129arrow-down1external-linkThe air begins to leak out of the overinflated AI bubblewww.latimes.comdb0@lemmy.dbzer0.com to TechTakes@awful.systemsEnglish · 3 months agomessage-square12fedilinkcross-posted to: [email protected]
minus-squareDavid Gerard@awful.systemsMlinkfedilinkEnglisharrow-up17·3 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-squaremountainriver@awful.systemslinkfedilinkEnglisharrow-up4·2 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-squareDavid Gerard@awful.systemsMlinkfedilinkEnglisharrow-up2·2 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.