this post was submitted on 21 May 2025
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We did the math on AI’s energy footprint. Here’s the story you haven’t heard. (www.technologyreview.com)
submitted 1 week ago by kalkulat@lemmy.world to c/technology@lemmy.world
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Absolutely needed: to get high efficiency for this beast ... as it gets better, we'll become too dependent.

"all of this growth is for a new technology that’s still finding its footing, and in many applications—education, medical advice, legal analysis—might be the wrong tool for the job,,,"

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[–] technocrit@lemmy.dbzer0.com -1 points 1 week ago* (last edited 1 week ago) (2 children)

For example? Citations?

Pretty sure these "tasks" are meaningless metrics made up by pseudo-scientific grifters.

[–] Jakeroxs@sh.itjust.works 3 points 1 week ago

Small bits of code, language related tasks, basic context understanding, not metrics I have literally measured simply noticed has improved compared to non reasoning models in my homelab testing. 🤷‍♂️

[–] IsaamoonKHGDT_6143@lemmy.zip 2 points 1 week ago

AlphaFold 3 which can help in the prediction of some proteins. Although it has some limitations, it cannot be used in all cases, only in what it can perform without any problem.