this post was submitted on 01 Oct 2023
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[–] hperrin@lemmy.world 4 points 1 year ago (1 children)

That’s pretty cool. I would have guessed it would be cheaper to use wind energy.

[–] GuillaumeGus@lemmy.dbzer0.com 4 points 1 year ago

Cheaper but unreliable.

[–] vluz@kbin.social 4 points 1 year ago (1 children)

Oh my Gwyn, this comment section is just amazing.

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[–] tonytins@pawb.social 4 points 1 year ago (6 children)

While I appreciate them going a greener route, if these chat AIs are still this inefficient to simply train, maybe it is best left to return them back to the research phrase.

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[–] autotldr@lemmings.world 4 points 1 year ago

This is the best summary I could come up with:


Training large language models is an incredibly power-intensive process that has an immense carbon footprint.

Now, The Verge reports, Microsoft is betting so big on AI that its pushing forward with a plan to power them using nuclear reactors.

Yes, you read that right; a recent job listing suggests the company is planning to grow its energy infrastructure with the use of small modular reactors (SMR.)

But before Microsoft can start relying on nuclear power to train its AIs, it'll have plenty of other hurdles to overcome.

Then, it'll have to figure out how to get its hands on a highly enriched uranium fuel that these small reactors typically require, as The Verge points out.

Nevertheless, the company signed a power purchase agreement with Helion, a fusion startup founded by OpenAI CEO Sam Altman earlier this year, with the hopes of buying electricity from it as soon as 2028.


The original article contains 346 words, the summary contains 147 words. Saved 58%. I'm a bot and I'm open source!

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