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Comment What? (Score 4, Insightful) 82

each additional year companies delay upgrading equipment results in a productivity decline of about one-third of a percent

How is that even measured? Someone needs to tell us how not having the latest and greatest phone reduces productivity. The four basic uses are making/receiving calls, texting, checking email, internet. How can a 2024 model phone possibly be that less "productive" than a 2025 model?

As for PCs, the vast majority of people use Word, Outlook, and a browser (usually the memory hog Chrome followed by Edge). Again, explain how a PC which is three years old reduces productivity in this day and age.

This article almost sounds like an ad to get people to buy things to keep the economy rolling rather than a serious discussion.

Comment Re:Banned. (Score 1) 67

Meh, this kind of crap is what peer review is for. As long as he learns his lesson I'd be fine with letting him keep going. I mean he's still going to MIT so he's not an idiot.

I mean we all act like he got away with this but he was caught during the initial process of peer review. The system really does work.

We all like to complain about how there's thousands and thousands of papers that are just garbage but here's the thing so what? If the papers aren't doing any harm and they're just sitting out there then it's not a big deal. It's not like we are spending all that much money on any of this crap. I'm sure you can come up with a number that sounds big because we have a 33 trillion dollar economy so yeah you could find somebody who maybe got a grant and did some bad research for a few hundred thousand. But in the grand scheme of things it's not a big deal

I mean think about how much money we waste on other crap. Human beings are just wasteful creatures. And we kind of need to be to keep our civilization and economy going anyway.

Comment Re:Uhg... (Score 1) 24

It would be kind of neat to see the algorithms for AI hand it off to a GPU or one of the fancy cores on a modern CPU.

But I can't see that really happening because machine learning algorithms requires so much processing power and modern graphics do the same so you just don't have a lot of head room.

Comment Re:No. (Score 1) 218

The capacity of the government of a large jurisdiction like California, or more particularly the US, could bankrupt someone like Musk, so I say, bring it on. Within a decade Musk would have abandoned all efforts, or, even better, be stone cold broke (frankly billionaires shouldn't exist at all, and we should tax the living fuck out of them down to their last $200 million).

We're too afraid of these modern day Bond villains when we should be aiming every financial, and probably every real, cannon straight at them and putting them in a sense of mortal danger every minute of their waking lives, so that they literally piss themselves in terror at the though that "we the people" might decide to wipe them out for good.

Comment Re:I'm no nuclear engineer (Score 1) 111

Wind and solar are only less expensive if you can actually build them. The current president has made it clear that he will not allow any new large wind or solar projects in the USA. Given the long running tendency of the GOP to swing even further to the extreme right, and the Democratic party's long history of capitulating to the GOP, it makes little sense for businesses to make long-term plans around renewable resources. Even if Trump leaves office and is voted out by a Democrat he might be replaced by someone who's even crazier and decides to actively destroy old renewable power setups. So if you need power for your data centers it just makes more sense to bite the bullet and go with nuclear.

Also, nuclear can probably done for a lot less money if they get the government out of it. Take out public financing and pork barrel contracts and nuclear can be less expensive. Especially if the same companies build the same reactors repeatedly instead of implementing one new design on a rare occasion. We'll find out if Starlink actually gets built and it's four reactors are powered on before the AI industry goes tits up.

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