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.
I’m sure that everyone will recognize that this was a great idea in a couple of years when generative LLM AI goes the way of the NFT.
Honestly, it probably is a great idea regardless. The plant operated for a very long time profitably. I’m sure it can again with some maintenance and upgrades. People only know three mile island for the (not so disastrous) disaster, but the rest of the plant operated for decades after without any issues.
Hopefully we can trust these tech bros to do that properly and without using their usual “move fast and break things” approach.
They are only buying 100% of the output. The old owners are still owning and operating it.
And if they do skimp on maintenance and upgrades and the plant melts down, we can be assured that no harm will come to the company because the scale of the disaster would wipe them out and they’re “too big to fail.”
It’s one of a hell of an old nuclear plant if it’s the original three mile island one.
It is, yeah. It was in operation until 2019.
LLMs have real uses, even if they’re being overhyped right now. Even if they do fail, though, more nuclear power is a great outcome
Once operational, the energy generated is cheap and will still be in demand
Nfts were a scam from the start something that has no actual purpose utility or value being given value through hype.
Generative AI is very different. In my honest opinion you have to have your head in the sand if you don’t believe that AI is only going to incrementally improve and expand in capabilities. Just like it has year over year for the last 5 to 10 years. And just like for the last decade it continues to solve more and more real-world problems in increasingly effective manners.
It isn’t just constrained to llms either.
The creators who made the LLM boom said they cannot improve it any more with the current technique due to diminishing returns.
It’s worthless in its current state.
Should be dying out faster imo.
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
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.
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.
I made this chart for you:
------ Expectations for AI
----- LLM’s actual usefulness
----- What I think if it
----- LLM’ usefulness after accounting for costs
One of the major problems with LLMs is it’s a “boom”. People are rightfully soured on them as a concept because jackasses trying to make money lie about their capabilities and utility – never mind the ethics of obtaining the datasets used to train them.
They’re absolutely limited, flawed, and there are better solutions for most problems … but beyond the bullshit LLMs are a useful tool for some problems and they’re not going away.
I cannot think of one single application where an LLM is better or even equivalent than having a person do the job. Its real only use is to trade human workers for cheaper but inferior output, at the detriment to mankind as a whole because we have in excess labor and in shortage power.