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 day 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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[–] phoenixz@lemmy.ca 20 points 14 hours ago (1 children)

That's because it IS an issue, together with many other issues like disinformation, over reliance, wrong tools for wrong (most) jobs, etc.

[–] REDACTED@infosec.pub -1 points 11 hours ago (1 children)

Ypu know what I don't hear on lemmy? People complaining that crypto world consumes more energy than AI world and one of those is far more useless in grand scheme of things.

So how comes it is A issue for AI, but everyone seemingly has forgotten about crypto?

Last I heard, securing one transaction on chain is equalivent to powering US household for many days (feel free to fact check). In comparison, generating LLM text for entire hour on your PC is pretty much the same as gaming for two hours (very approx., your gpu is unlikely at 100% load), which means gaming world is far more destructive energy wise. Are you getting triggered yet?

[–] anzo@programming.dev 0 points 9 hours ago (1 children)

That's not true if you were to use off-chain transactions (i.e. lightning network)

[–] REDACTED@infosec.pub 1 points 3 hours ago* (last edited 3 hours ago)

"That's not true"

"But not true only if you use non-mainstream transaction method that was not part of the original design and is only supported by selected cryptos, meaning not universal"

K

I mean, don't get me wrong, it's nice that things are improving, but it's safe to say that things will improve for AI too (energy-wise), hella lot of people now working on optimization and it looks very promising, even by just splitting large models into many smaller ones by topic