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Comment Re:But the real cost is increased service prices (Score 1) 65

Also, anything sounds big when you put it in gallons. Doesn't sound so big when you mention that's 92 acre feet, the amount used by less than 20 acres / 8 hectares of alfalfa per year. Or when you mention that a typical *closed loop* 1GW nuclear reactor uses 6-20 billion gallons of cooling water per year (once-through uses 200-500 billion gallons, though most of that is returned, whereas closed loop evaporates it)

Comment Re:That makes sense. (Score 2, Insightful) 61

I don't think it has anything to do with that. As soon as I saw the headline, my mind went "cohort study". And sure enough, yeah, it's a cohort study. Remember that big thing about how wine improves your health, and then it turned out to just be that people who drink wine tend to be wealthier and thus have better health outcomes? And also, the "sick quitter" effect, where people who are in worse health would tend to stop drinking, so you ended up with extra sick people in the non-wine group? Same sort of thing. This study says they're controlling for a wide range of factors, but I'd put money on it just being the same sort of spurious correlations.

Comment Re:Stop purchasing Bambu products (Score 2) 102

They've made a nice easy-to-use ecosystem. For $400 you can get a P1S that supports adding an AMS, auto bed leveling, enclosed-chamber printing, high precision, high print speeds, and 300/100C nozzle/plate temps, and has an easy cloud print service and a robust ecosystem of models you can just download and print with no extra config straight from the app.

But yeah, their behavior is increasingly entering bad-actor territory. I wonder how long it'll be before they lock entry-level printers into their branded filament?

Comment Re:Itâ(TM)s should be refunded without needin (Score 1) 103

Well... more than that.

Everyone... Every, Single, Person... who played any part in ordering, planning, setting, implementing, or collecting them needs to be prosecuted and imprisoned. Theft, fraud, official misconduct, services fraud, the Hobbs Act, wire fraud, malfeasance in office... whatever it takes to make those fuckers BURN!

Comment Re:YouTube Too (Score 1) 68

It's easier to look at the videos, especially the frame they use to try to draw you in. For example... there are a lot of ragebait videos wrt/ entitled airline passengers trying to bully people out of their seats, or generally behaving like asses... in "airliner cabins" whose sides have no curvature, or the windows are so large it could only be a private jet, or with missing overhead bins, or seating in a configuration that no airliner uses or even supports. Another fun one that's stubbornly in my "For you" list is a "How the navy feeds the crew of a submarine from this tiny kitchen... but key frame shows the kitchen is HUGE, shares the same room/space with both enlisted and officer berthing, AND has (rather large) windows down the wall looking out into the underwater of the ocean. And no matter how good the AI voice is... real humans say "World War Two". We don't say double-you double-you eye eye, or even double-you double-you.

They'll probably get better so the above will no longer work. But I'm reporting and blocking every single example of AI slop that I see now; in the hopes that google will figure out that I don't want to watch any of that shite.

Comment Re:Anthropic _is_ the odd one out. (Score 1) 21

'Depends on which cops you're talking about. If you're talking about our local municipal PD then, yes, I would be very concerned. If you're taking about the so-called "cops" who are *actually* feds... any and all agencies that fall under the executive branch... I consider see those businessmen to be very moral and absolutely worthy of my respect. Anyone who refuses to be a bootlicking simp or stooge for maga automatically earns a higher-than-average baseline of respect in my book.

Comment Re:Greenhouses (Score 1) 50

Explain how this doesn't count as reasoning. Or this. To name just a couple examples.

Yes, they work by fuzzy logical reasoning. That is literally how neural networks, including the FFNs in Transformers, work. Every neuron is a fuzzy classifier that divides a superposition of questions formed by its input field by a fuzzy hyperplane, "answering" the superposition with an answer ranging from yes to no to anything in-between. Since the answers to each layer form the inputs to the next layer, the effective questions form grow with increasing complexity as network depth grows. Transformers works by combining DNNs with latent states (works on processing concepts, not raw data, with each FFN detecting concepts in their input and encoding resultant concepts into their output) and an attention mechanism (the FFNs of a given layer can choose what information they "want to look at" in the next FFN).

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