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submitted 2 days ago by [email protected] to c/[email protected]

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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[-] [email protected] 3 points 13 hours ago

That's one groups opinion, we still see improving LLMs I'm sure they will continue to improve and be adapted for whatever future use we need them. I mean I personally find them great in their current state for what I use them for

[-] [email protected] 3 points 12 hours ago

What skin do you have in this game? Leading industry experts, who btw want to SELL IT TO YOU, told you it has hit a ceiling. Why do you refute it so much? Let it die, we will all be better off.

[-] [email protected] -2 points 5 hours ago

Even if it didn't improve further there are still uses for LLMs we have today. That's only one kind of AI as well, the kind that makes all the images and videos is completely separate. That has come on a long way too.

[-] [email protected] 0 points 3 hours ago

I made this chart for you:

------ Expectations for AI

 

 

 

 

 

----- LLM's actual usefulness

----- What I think if it

 

 

----- LLM' usefulness after accounting for costs

[-] [email protected] 1 points 1 hour ago

Bruh you have no idea about the costs. Doubt you have even tried running AI models on your own hardware. There are literally some models that will run on a decent smartphone. Not every LLM is ChatGPT that's enormous in size and resource consumption, and hidden behind a vail of closed source technology.

Also that trick isn't going to work just looking at a comment. Lemmy compresses whitespace because it uses Markdown. It only shows the extra lines when replying.

Can I ask you something? What did Machine Learning do to you? Did a robot kill your wife?

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

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