>> a lot of people are going to have to die.

You appear to be bitterly pessimistic there buddy. It's tiresome and unhelpful.

The cited article mentions several proposals for retraining. Also the coalition "has so far raised more than $500 million — about half of its multiyear goal — from companies and nonprofit groups" to help fund it. Meanwhile the average communitycollege tuition and fees for indistrict students was about $4k per year in 2025, not a very heavy debt load. This isn't necessarily a disastrous transition, particularly if prices do fall due to increased production.

Sounds like they'll try to identify some highly physical things a person could do better than AI, and provide training for it. Nothing wrong with that. Healthcare (or at least nursing the elderly), plumbing, electrician, etc. It will be the blue-collaring of the workforce. White collar work has typically paid better, so unfortunately this will be a step down for many. As for young people, instead of university and a career as a lawyer you will be directed to a community college to learn some skill that still requires human hands.

But I also want to think about the possible advantages and better outcomes. In my experience the AI systems are a huge boost in personal productivity. You need to have the right mindset to use it and sufficient experience to steer it properly. People who are able to groove into that can get an awful lot of work done with relatively little effort. Be one of those people if possible, it ain't that hard.

And then, let's say an awful lot of work does get done with less and less effort on our parts. This could mean that things become cheaper and easier to make, therefore less expensive to buy. Standards of living could potentially rise. Yes you could imagine that the current titans of industry will dominate AI and consolidate economic control, make us all slaves, but I don't think they can monopolize it. There will soon come a time when sophisticated AI models run just fine on cellphones, and your worth will depend on what you can do with it.

From the cited article;

Sean McWilliams, an astrophysicist at West Virginia University, was skeptical that the gravitational wave frequency analyzed by the scientists was actually "dictated" by the event horizon.

For this reason, "the actual observed signal doesn't really tell us anything about the horizon or the other properties directly related to it," he told AFP.

You claimed; "You think it's one datacenter. From what I am seeing, many, many datacenter have done zero planning for their needs."

And you still can't come up with a list of them, or even one.

That's one data center, dimwit. Where's the 'many'? And it sure looks like that one datacenter near Truckee California planned quite well for their needs, they are getting electricity.

>> Truckee, California. That datacenter did not build their own power.

You claimed, with no evidence, that "many datacenter have done zero planning for their needs". And you still can't come up with a list of them.

I was wanting to sell a car recently, a nice one with low miles and in great shape. I went to the Carvana website and got a low quote. I was showing it at local dealerships and went by to see them as well, maybe they would do better if they saw the car and drove it. Nope, whatever the website said it was worth is what they would pay.

Eventually I was offered about 50% more elsewhere, a decent price and I'm sure they sold it at a profit.

That's ridiculous. The company has to pay the tax, it isn't optional. If the $7 million revenue to the city wasn't coming in it would have to be paid by the residents.

>> You were saying?

I was saying that the local data centers don't affect the residents. They use closed-loop cooling and they are sited properly. What part didn't YOU understand?

>> many datacenter have done zero planning for their needs

Show evidence.

>> how it has improved their quality of life

The data centers pay taxes. One of them on the outskirts of a nearby town is paying enough tax to fund most of the fire department.

>> "Build it and they will come" seems to have been the entire planning of how to power and cool these centers.

Bullshit. The local data centers here in Texas underwent an extensive review process. They are sited near high voltage lines and get power directly from there through power purchase agreements. They use closed-loop cooling.

There's a lot of local opposition to them but it has been pumped up by misinformation similar to what you are repeating. One data center in Truckee California may have bought all the local electricity but that doesn't apply to the entire industry.

>> take up local water at below cost

I did some checking on the local data centers here in Texas. The use closed-loop cooling, and therefore use very little water. There's no sign that they have caused electric bills to rise. They are sited in designated industrial zones or on the outskirts of town where noise will not be a problem.

>> What benefit does it provide them???

They pay taxes. One of them I looked at will be paying about $7 million over the next 10 years.

>> Just seeing the destructive power of datacenters is already enough

I think that's way overblown, show evidence. Modern dc's can use closed-loop cooling to keep the water consumption low. I don't see how they result in 'significant increases in costs of living'.

The AI companies are competing for market share at present, but it isn't very surprising to see prices for the top models ramp up as they become more complex and use more compute resources. But there's a long trail of older, lesser models still available and some of them are pretty good. My suspicion is that casual users can do just fine with relatively inexpensive mid-or-low-tier models.

I use AI most every day for technical work (to great benefit, I'm often amazed). A couple of months ago the vendors started rationing the token consumption as they reach the limits of their existing compute infrastructure. Now I have to adjust the models I use based on what I'm trying to accomplish at the moment in order to economize. The hard stuff goes to models that are very good but at least a generation behind the very expensive cutting edge. Things that are more mundane can be allocated to older and cheaper models. Sometimes they struggle with a task and I have to bump up to something better. Yesterday I used up my daily token quota after a few hours of very productive work, a bummer but its understandable.