Doesn’t matter. The regime got what they wanted out of this. The data centers are up, the tech is there, they will just snap it up cheap for use in surveillance and fabricating evidence of dissenters.
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The data centres are far from up. Many of them look to have a few steel beams in place and that's it. Others are sitting empty due to lack of hardware or lack of power.
Can't be soon enough. The amount of AI sludge videos out there where I can't even tell anymore.
Didn't they kill their video generator?
There must be many others. The amount of videos depicting things I've NEVER seen before pawned off as real is disconcerting. A dog bouncing a 3 foot exercise ball on his nose in a backyard? Yeah, that really happened.
Q3 2027 is when the house of cards falls. I have been saying this since 2025 and I will continue to make this prediction based off of loan and investment terms.
I agree with this.
That lines up on the technical side, too, with how LLM “intelligence” is plateauing, cost of cheaper models is decreasing, where open weights are going and such. Q3 2027 seems about when an OpenAI coding subscription makes no sense.
That being said, I’d be wary of the “Facebook effect.”
Once a service gains a huge foothold, it can deteriorate for a long time without going away. Especially with regulatory capture. And for many smartphone users, OpenAI is the only AI they know.
I've been making the comparison to the first synthesizer in 1897. It was so huge, that it took up the basement of an entire city block in NYC. It was enormous, and relatively useless but it worked...technically. But 60 years of development later, and it can be put in a suitcase and carried around.
I see data centers and AI the same way. Sure, we can technically do it, but it's big, unwieldy, and wasteful. It clearly isn't ready for prime time.
Go back to the drawing board, address the real problems, including regulations, and get back to us in a decade or two, when they've figured out how to do this properly. Because right now it's a monstrosity that's more of a curiosity than an useful product.
"Figure out who to do this properly" means a completely different method. What they've built is way, way too expensive for too little return. What they want to do may not even be possible, too little is known about the human mind to assume it is. It's all assumptions and hubris at this point, no proof. Not everything we imagine is possible.
Amazon wasn't profitable for many years until it was. Now make your own conclusions about AI.
Come on, burn faster!
It will be a race which AI company holds out longest. All of them are making losses that no company can survive, and if they rise their prices enough to cover the costs, they will basically lose all their customers. Who will then struggle to hire the people back who still know how to do things without AI.
Then Google wins? Since they have the ad business sonar least they are making some money.
That long? Sigh…
He’ll probably tell Trump he’ll help win the election and get all sorts of tax payer handouts.
How can we make them run out in mid-2026?
I was under the impression that they had an extremely large amount of negative money.
Oh boy, I can't wait for my tax dollars to go to bailing them out instead of food and healthcare
Don't worry, we can't bail them out this time. There's just not enough money, each bailout is exponentially bigger than the last one and this time the bubble is bigger than the rest of the global economy
We'll probably destroy the global economy buying them just a few more months anyways though
It's also arguably the only thing propping up the American economy right now. They don't have anything to bail with, if the AI bubbles goes on fire. Their economy may well come tumbling down in short order.
I don't think you even have to argue it. If you move the top 7 from the us economy, the US has been in recession for about a year I think.
Ain't it ironic that technology failed mostly because humans are still cheaper option for the same work?
Puts
No shit! Let that sink in, I'm waiting. If the world don't want to learn from it's mistakes, let it burn.
How can you run out of something you never had?
Oh they had plenty of other people's money. They have to burn someones money very very fast