this post was submitted on 15 Sep 2024
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cross-posted from: https://lemmy.ml/post/20289663

A report from Morgan Stanley suggests the datacenter industry is on track to emit 2.5 billion tons by 2030, which is three times higher than the predictions if generative AI had not come into play.

The extra demand from GenAI will reportedly lead to a rise in emissions from 200 million tons this year to 600 million tons by 2030, thanks largely to the construction of more data centers to keep up with the demand for cloud services.

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[–] ano_ba_to@sopuli.xyz 1 points 4 months ago (2 children)

There exists an alternative that uses a lot less power. And also that power is going to get spent no matter what anyway.

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[–] Melvin_Ferd@lemmy.world 0 points 4 months ago

From construction of three data centers or everyday use. Weird wording this whole article.

[–] LarmyOfLone@lemm.ee -1 points 4 months ago (3 children)

If I run some AI model on my GPU and power my computer via solar power and some batteries, am I actually contributing significantly to GHG emissions?

Like what is the embodied energy of an AI model?

As usual, pundits and scientists confuse what is and what could be with the truth. For example plastic recycling isn't possible because "right now economics don't make it profitable". Meaning capitalism is killing us, not plastics. I suspect the same is true for AI.

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[–] Matriks404@lemmy.world -3 points 4 months ago (1 children)

Does that take into account that AI models will become more efficient with time?

[–] postmateDumbass@lemmy.world 1 points 4 months ago* (last edited 4 months ago)

We never actually used large numbers of monkeys paired with typewritters to produce new literature.

Why? Because it would have wasted all the bananas to produce a bunch of shit.

That is all this level of AI is really equivilant to.

Throwing pudding at a wall, deciding if that toss is closer to the goal than before, changing something, then repeating.

Maybe dont waste the resources until the process is more efficient.

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