db0 to [email protected]English • 2 months agoThe air begins to leak out of the overinflated AI bubblewww.latimes.comexternal-linkmessage-square19fedilinkarrow-up1126arrow-down12cross-posted to: technology
arrow-up1124arrow-down1external-linkThe air begins to leak out of the overinflated AI bubblewww.latimes.comdb0 to [email protected]English • 2 months agomessage-square19fedilinkcross-posted to: technology
minus-squareDavid GerardMlinkfedilinkEnglish16•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@[email protected]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-squareDavid GerardMlinkfedilinkEnglish2•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.