this post was submitted on 21 May 2025
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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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[–] drmoose@lemmy.world 22 points 1 day ago (2 children)

The energy issue almost feels like a red herring for distracting all idiots from actual AI problems and lemmy is just gobbling it up every day. It's so tiring.

[–] phoenixz@lemmy.ca 40 points 1 day ago (10 children)

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

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[–] TootSweet@lemmy.world 70 points 1 day ago (1 children)

as it gets better

Bold assumption.

[–] WanderingThoughts@europe.pub 28 points 1 day ago (27 children)

Historically AI always got much better. Usually after the field collapsed in an AI winter and several years went by in search for a new technique to then repeat the hype cycle. Tech bros want it to get better without that winter stage though.

[–] Jesus_666@lemmy.world 27 points 1 day ago (2 children)

AI usually got better when people realized it wasn't going to do all it was hyped up for but was useful for a certain set of tasks.

Then it turned from world-changing hotness to super boring tech your washing machine uses to fine-tune its washing program.

[–] WanderingThoughts@europe.pub 30 points 1 day ago (1 children)

Like the cliché goes: when it works, we don't call it AI anymore.

[–] technocrit@lemmy.dbzer0.com 5 points 1 day ago (1 children)

The smart move is never calling it "AI" in the first place.

[–] Enkers@sh.itjust.works 8 points 1 day ago* (last edited 1 day ago)

Unless you're in comp sci, and AI is a field, not a marketing term. And in that case everyone already knows that's not "it".

[–] frezik@midwest.social 5 points 1 day ago* (last edited 1 day ago) (4 children)

The major thing that killed 1960s/70s AI was the Vietnam War. MIT's CSAIL was funded heavily by DARPA. When public opinion turned against Vietnam and Congress started shutting off funding, DARPA wasn't putting money into CSAIL anymore. Congress didn't create an alternative funding path, so the whole thing dried up.

That lab basically created computing as we know it today. It bore fruit, and many companies owe their success to it. There were plenty of promising lines of research still going on.

[–] IsaamoonKHGDT_6143@lemmy.zip 5 points 1 day ago

I wish there was an alternate history forum or novel that explores this scenario.

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