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submitted 10 months ago* (last edited 10 months ago) by onlinepersona@programming.dev to c/programmerhumor@lemmy.ml
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[-] Knusper@feddit.de 11 points 10 months ago

I mean, so far, all of them require tons of humanly produced data.

Discriminative AI (deep learning et al) requires humans to label data for hours on end, per use-case.
And generative AI (LLMs et al) require just insane amounts of human works to copy from, albeit not necessarily limited to individual use-cases.

I guess, what I'm saying is that the ratio of how much labor humans (involuntarily) invested into AIs, compared to the labor these AIs actually perform, is likely a lot higher than 70%.

[-] Archpawn@lemmy.world 2 points 10 months ago

But that's mostly labor humans were doing anyway.

[-] Daxter101@lemmy.blahaj.zone 3 points 10 months ago

This would be true, if recording and labelling that work was free. But it isn't, it requires effort.

this post was submitted on 12 Dec 2023
337 points (97.5% liked)

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