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Modern AI data centers consume enormous amounts of power, and it looks like they will get even more power-hungry in the coming years as companies like Google, Microsoft, Meta, and OpenAI strive towards artificial general intelligence (AGI). Oracle has already outlined plans to use nuclear power plants for its 1-gigawatt datacenters. It looks like Microsoft plans to do the same as it just inked a deal to restart a nuclear power plant to feed its data centers, reports Bloomberg.

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I just hope this deal doesn’t involve using their AI to monitor the reactor …

[-] Womble@lemmy.world 11 points 21 hours ago

There actually has been good work on using AI to control fusion plasmas its at the point where it can keep them stable significantly better than any human or simple automated system.

[-] homesweethomeMrL@lemmy.world 7 points 20 hours ago

Yes in a research lab. Here we’re talking about Microsoft.

Have you ever used something they made? Did it meet your standard of being “good work”? No. It’s a greedy, soulless cash grab disguised as software that infects the entire organization and disables common sense.

M$ actually running a nuclear plant is a guaranteed disaster. Blue Screen of Death.

[-] douglasg14b@lemmy.world 1 points 11 minutes ago* (last edited 8 minutes ago)

Have you ever used something they made? Did it meet your standard of being “good work”?

I mean you're ignorance of the products that they build or work on doesn't precipitate their badness. Let's start with the entire developer ecosystem that they have their hands deep in, it's a pretty damn good ecosystem.

You probably need to check your bias because it's leaking, negatively affecting your decision making.

Any company of this size is going to have shit products great products and literally thousands and tens of thousands of projects in between. You seem to be familiar with one product line, of hundreds or even thousands.

[-] peopleproblems@lemmy.world 8 points 20 hours ago

You know, that actually makes sense. Fusion is so energetic and probabilistic in nature, plus it's effectively "charged fluid dynamics" and there are an impossible number of variables to handle. That's literally the kind of shit AI is great at.

Fission though? Not so much

[-] Womble@lemmy.world 10 points 20 hours ago

No, stick rod in / pull rod out doesn't really need deep learning to make work well :p

[-] peopleproblems@lemmy.world 13 points 20 hours ago

Apparently, I didn't learn that with my ex

this post was submitted on 21 Sep 2024
275 points (97.6% liked)

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