this post was submitted on 11 May 2026
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I heard that there would be a new Great Depression.

I've also heard a lot of different theories, and one of them interested me: after the bursting of the bubble, AI will not disappear anywhere, is it in vain that so many data centers were built? AI will be embedded everywhere, people won't even be able to test how it works, "it works somehow, great!" because all human workers will be fired, not at once, of course, but gradually, In a few years, about 2-7 years to be exact(depending on the industry). And because of this, AI systems will begin to get out of control, this will cause incorrect diagnoses, failures in the banking system, arresting or killing innocent people by drones, and so on.

The reason I've explained this so poorly is because, in the first place, the topic of AI and the debate around it is terribly infuriating to me, and it's obvious that the harm from AI won't be able to compensate for the little benefit it will bring. Secondly, I use a translator, so my text may seem crooked, unnatural, or silly.

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[–] BarneyPiccolo@lemmy.cafe 3 points 16 hours ago

The overall problem with humanity is that we think we're as smart as humans can be, so we are at the pinnacle of human achievement.

I just saw a video about the first synthesizer. It was built in 1897, and it took up the basement of a building the size of an entire city block. They had the technology to do it, but not to do it well. But they didn't see it that way. To them, it was the pinnacle of technology. But 75 years later, and we can put that same instrument in a suitcase.

Data Centers may be something that will be useful in the future, but our tech isn't good enough yet. Right now it takes an enormous building, and mind-boggling amounts of resources, and does incredible damage to the environment, as well as the damage to the economy and the job market.

It's like realizing that you can talk with two tin cans and a string, and then running out and installing a giant international system of tin cans & string, instead of waiting for the tech to advance to a point where we can do it properly.

Maybe in 50 years, the tech, regulations, and policy will be caught up to the ambition, but right now, we aren't ready for it at this level of technology.