Is this the Beginning of the End for the AI Bubble?

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Nothing is stopping you from breathing in oil toxins but I'd rather have the clean air and deal with data centers and watch oil companies reduce in size.
actually, my lungs were having a much easier time by oil than by coal. I almost forgot what it is like to not have double vision/consistent silent chest asthma. Many report similiar, even air force pilots who do bio-conditioning for high G-Force environments.

If an air force pilot can't live here without allergy meds then you should know it's bad, but their visits to Texas? They were able to breathe well.

coal is factually much more dangerous to breathing than being around oil in general. I am also living proof of that.
 
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Just some extra clarification on that number.

Out of 5,300 about 90% of those are traditional data centers. Those use 5-10x less energy than AI centers. The remaining are the energy and water guzzling AI centers along with most new centers which are being built today.
Traditional datacenters are still guzzlers and completely unnecessary.
 
Traditional datacenters are still guzzlers and completely unnecessary.
Cloud does often cost more to use than having own infrastructure. It is also more marketable as it's a single service that covers all of processing, uptime and almost everything else. But in terms of datacentres, companies need their own infrastructure, and just because they use or don't use cloud doesn't mean there isn't a computer running their services somewhere... so the only alternative in regards to resource use would be to not have computers at all. :rolleyes:

Of course, I'm not talking about "AI"/LLM training/hosting datacentres. The society would be better off without them ever again.
 
Traditional datacenters are still guzzlers and completely unnecessary.
Depends on if you think the Internet is a necessity I guess. Companies can have their own racks in their offices, but in the end it's a nightmare for them to maintain and keep clean. In the end, keeping servers centralized like that helps to keep cooling everything a little more energy efficient than if they were spread out all over.
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A fun quote that I saw earlier which is pretty damn true:

The reason RAM prices are so damn high is that a massive amount of not-yet-manufactured memory was bought with money that theoretically exists to be put into GPUs that haven't been made, to be put in data centers that haven't been built, powered by infrastructure that's not built yet, all in pursuit of profits that may never come.
 
Generative AI has been massively subsidized in the hopes that, if they just keep piling more money and data into the furnace, it will become essential to daily life and then they can raise the price and make a profit.

Unfortunately, while LLMs do some interesting stuff, there just isn't that much demand for technology that sometimes produces half-decent results and sometimes shoots you in the face.

It might be rising user costs that pop the bubble, or it might just be companies failing to repay the trillions in debt they've racked up to build these datacentres. The AI buildout is literally consuming the vast majority of the entire world's investment funding, and all we'll have at the end of it is some extremely niche and expensive datacentres, full of GPUs that can't be used for anything else and burn out after a few years. And to run them, we only need to sell another 10 billion ChatGPT subscriptions.

That is assuming the datacentres even get built. Right now they are facing a few minor problems with reality, like, we're acting like this is a videogame where you can just build 500 new nuclear power stations if you have the imaginary money for it. But we still have to pretend like the datacentres are actually being built, because the stock market runs on Looney Tunes physics and if we look down we all die in an economic crash that will require the Great Depression to be renamed like the Great War was.
 

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