[–] 2 points 3 months ago (1 child)

I don't know that story, but if the data center isn't built yet, that's just the normal water consumption that would be required for any building construction.

Building big buildings uses a lot of water. It's necessary for dust management, soil compaction, etc. They literally just spray it everywhere during construction and that's actually very important! LOL.

It always amuses me when I see people complaining about data centers that are still under construction using "millions of gallons" of water. I'm thinking, "yeah dude, that's how construction works."

They never complained about the construction water usage of all the other buildings in the area which make the "huge data center" look like a drop in the ocean for that kind of thing.

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  • [–] 6 points 3 months ago

    I forget the article, but some author wrote about how he wanted AI companies to ingest his stories so that there was always a chance his words and stories could influence their output. Not just "how they write", but what they might recommend to someone who's asking for suggestions as to what they should read next.

    To me, this is super interesting! Because right now the publishing industry has a bigger problem than AI (it started just a few years before ChatGPT): Discovery

    As in, you want to find a book that covers the things/keywords/details you want, but just searching book sites makes that almost impossible.

    (Hint for the publishing industry: software developers solved this problem long ago... It's called "user-driven tags". Let the users add tags to your stuff! Stop being Nazis about controlling every little thing!)

    Anyway, LLMs are actually pretty good at discovery if you give them a super detailed prompt. That's actually the problem they were invented to solve!

    They can still hallucinate and make stupid mistakes, but using an LLM to find information is probably the best way to use them. Note: This doesn't mean, "use the LLM to give you the answer." Noooo! That's how you end up with rocks on pizza, haha. Instead, you use the LLM like a search engine to find the link or location of what you're looking for inside of something else (e.g. find the website, find the spot inside a document).

    AI is super unpopular on Lemmy, but out in the real world it's actually quite useful for it's actual purpose (and the accidental side purpose: Coding).

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  • [–] -2 points 3 months ago (6 children)

    The fresh water thing is wrong. The study that came out showing AI using shittons of water was including the cooling pond water at power plants. It was... 76% of the water use? I forget the % but it was so much that it completely changed the statistic from "holy shit" to "oh, who cares, then?"

    Also, most of the mega huge data centers under construction are everywhere. Not "villages". Meta's big one is actually in the middle of nowhere.

    Agentic AI isn't just "if else" stuff. It's way TF more complicated than that. It's so fucking complicated, they're terrified of implementing it at my work because they fear they won't be able to understand what went wrong when something inevitably goes wrong (LOL).

    The ontology thing isn't really a thing. That's just what outsiders are calling some internal programming they're adding to LLMs so they don't hallucinate "obvious shit". The actual issue there is that, yeah: You can feed the LLM output back into itself four fucking times over to double-check it but that uses 4x as many tokens!

    The thing you're missing is that token usage is exploding. It's like the world of AI has collectively decided that it needs that 4x token usage but they can't figure out a way to do that economically, so they're just sort of whistling while looking away from their balance sheets while at the same time getting seemingly endless loads from private equity idiots who think "AGI is just around the corner."

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  • [–] 0 points 3 months ago

    Don't call it theft. Theft is what happens when the original owner doesn't have that thing anymore.

    Nothing was "stolen". AI just lowered the value of generic "thumbnail artists" and probably increased their value as artisans for those willing to pay for a premium service.

    That's what generative AI does: It makes stuff of mediocre quality that's "good enough" for the masses. However, if you want something better than that, you have to pay a professional.

    My hypothesis is that Baumol's Cost Disease combined with AI is going to result in the collapse of capitalism. Where bespoke service work (e.g. hiring a thumbnail artist) is going to become more expensive over time while generic stuff that doesn't need to be high quality is going to become cheaper and cheaper, to the point where it's basically free. We're almost there, actually.

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  • [+] -14 points 3 months ago (5 children)

    What does "AI-pilled" mean? Complaining about a generated wallpaper/cover image seems rather nitpicky to me when YouTube does that for everyone now. As in, that war has been lost.

    In fact, complaining about AI-generated cover images in general seems rather nitpicky. The actual content wasn't AI generated, just a tiny little advertising detail.

    I dunno: It's like people complaining about "kids these days." "Instead of spending a few hours working on a proper clickbait cover image, kids these days are using AI!"

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  • [–] 10 points 3 months ago (1 child)

    What's wrong with "birth tourism"? The amount of babies that fall under that label is so small this is like signing an executive order banning death by lightning strikes.

    Yeah, it happens from time to time but signing an executive order to stop it is just as effective.

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  • [–] 2 points 3 months ago (3 children)

    You are the problem!

    You know what you are, actually? You're like someone with an abusive spouse. "Yes, they beat me bloody from time to time—at the gas pump—but they make me feel good from time to time too. I love them."

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