Basically a deer with a human face. Despite probably being some sort of magical nature spirit, his interests are primarily in technology and politics and science fiction.

Spent many years on Reddit before joining the Threadiverse as well.

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Joined 2 years ago
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Cake day: March 3rd, 2024

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  • I was cutting a cardboard box up with a box cutter, holding the box steady with my off hand while pushing the blade downward through the cardboard. I realized that my hand was below the blade and therefore there was a risk I’d cut myself if the blade suddenly moved more quickly through the cardboard than anticipated. Safety first! So I stopped cutting, leaving the blade in the cardboard, and lifted my hand to grip the cardboard above where I was cutting instead.

    Slammed my thumb right into the blade as I moved my hand, peeling a nasty slice of skin off. Took a lot of stitches to tack it back in place, still have a scar from that.





  • However, a human would also need to verify that the generated solution actually solves a problem.

    That’s already an issue with human-generated answers to problems. :)

    “Verification” could be done by an AI agent too, though, as I described above. Depends on the sort of problem. A programming solution can be tested in a simple sandbox, a medical solution would require a bit more effort to validate (whether by human or by AI).

    I just don’t think current LLMs are quite smart enough yet.

    Certainly, we’re both speculating about future developments here.




  • I did suggest a possible solution to this - the AI search agent itself could post a question in a forum somewhere if has been unable to find an answer.

    This isn’t a feature yet of mainstream AI search agents but I’ve been following development and this sort of thing is already being done by hobbyists. Agentic AI workflows can be a lot more sophisticated than simple “do a search summarize results.” An AI agent could even try to solve the problem itself - reading source code, running tests in a sandbox, and so forth. If it figures out a solution that it didn’t find online, maybe it could even post answers to some of those unanswered forum questions. Assuming the forum doesn’t ban AI of course.

    Basically, I think this is a case of extrapolating problems without also extrapolating the possibilities of solutions. Like the old Malthusian scenario, where Malthus projected population growth without also accounting for the fact that as demand for food rises new technologies for making food production more productive would also be developed. We won’t get to a situation where most people are using LLMs for answers without LLMs being good at giving answers.


  • Thanks for showing that you have no actual arguments.

    You did it first by jumping to “think of the children!” And analogizing running a program to cannibalism.

    They have no real benefit.

    No need to ban them, then. Nobody will use them if this is true.

    They have insane energy requirements, insane hardware requirements.

    I run them locally on my computer, I know this is factually incorrect through direct experience.

    Personal experience aside, if running an LLM query really required “insane” energy and hardware expenditures then why are companies like Google so eager to do it for free? These are public companies whose mandates are to generate a profit. Whatever they’re getting out of running those LLM queries must be worth the cost of running them.

    We are working on saving our planet

    I see you’ve switched from “think of the children!” To “think of the environment!”


  • Depends which 90%.

    It’s ironic that this thread is on the Fediverse, which I’m sure has much less than 10% the population of Reddit or Facebook or such. Is the Fediverse “dead”?

    This is one of the biggest problems with AI. If it becomes the easiest way to get good answers for most things

    If it’s the easiest way to get good answers for most things, that doesn’t seem like a problem to me. If it isn’t the easiest way to get good answers, then why are people switching to it en mass anyway in this scenario?






  • FaceDeer@fedia.iotoSelfhosted@lemmy.worldIPv6 for self hosters
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    6 months ago

    You may know IPv6 is ridiculously bigger, but you don’t know it.

    There are enough IPv6 addresses that you could give 10^17 addresses to every square millimeter of Earth’s surface. Or 5×10^28 addresses for every living human being. On a more cosmic scale, you could issue 4×10^15 addresses to every star in the observable universe.

    We’re not going to run out by giving them to lightbulbs.


  • A significant drop, maybe once every year or two. The first time I cracked the screen I resolved to always use those protective cover thingies, and they seem to work since I’ve never cracked the screen since.

    I don’t understand why so many people are saying they drop them so frequently. These are expensive pieces of hardware and it’s not hard to hold them securely.