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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 [email protected] to c/[email protected]

163 comments fedilink hide all child comments

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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[–] [email protected] 77 points 1 week ago (3 children)

as it gets better

Bold assumption.

[–] [email protected] 34 points 1 week ago (43 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.

[–] [email protected] 2 points 5 days ago

That's part of why they installed Donald Trump as the dictator of the United States. The other is the network states.

[–] [email protected] 28 points 1 week ago (6 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.

[–] [email protected] 35 points 1 week ago (2 children)

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

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[–] [email protected] 24 points 1 week ago (7 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.

[–] [email protected] 1 points 1 day ago (1 children)

Partly, yep. Seems like every time I try to pin down an AI on a detail of a question worth asking - a math question, or a date in history, it'll confidently reply with the first answer it finds ... right or wrong.

[–] [email protected] 1 points 1 day ago

I don't think accuracy is an issue either. I've been on the web since inception and we always had a terribly inaccurate information landscape. It's really about individual ability to put together found information to an accurate world model and LLMs is a tool just like any other.

The real issues imo are effects on society be it information manipulation, breaking our education and workforce systems. But all of that is overshadowed by meme issues like energy use or inaccuracy as these are easy to understand for any person while sociology, politics and macro economics are really hard.

[–] [email protected] 48 points 1 week ago (13 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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