• deeprlyeh@lemmus.org
    link
    fedilink
    English
    arrow-up
    49
    arrow-down
    1
    ·
    1 month ago

    Bill didn’t say anything. Prices won’t go down because AI replaced humans. If anything they will rise, as they are.

    • NarrativeBear@lemmy.world
      link
      fedilink
      English
      arrow-up
      22
      ·
      1 month ago

      Prices will definitely rise to cover operating costs and to recoup all the investment costs.

      I honestly hope the whole thing crashes once people realize they can run their own LLM on their own hardware.

      • JGrffn@lemmy.world
        link
        fedilink
        English
        arrow-up
        11
        ·
        1 month ago

        And what hardware is that, exactly? Speaking as someone with what I’d consider to be a pretty decent homelab, I can’t self host the kind of AI that I use for work, not without literally emptying my savings into the hardware and energy needs. AI is already expected and required in my job, so the only move forward is to give elon money for access to cursor, which my company is already doing. If the company were to self-host, they’d prolly still use one of those shiny new datacenters since there’s real value in offloading hardware ownership to a third party, meaning those never go away and they still dictate the cost of using AI. I have a hard time believing this will happen in most companies simply because they already shelled out tons of money for SAAS software that has been self-hostable for over a decade, so why would you think they’d stop and think “hmm maybe we could cut costs by taking over the hosting and maintenance of the AI ourselves”?

        I think we’re at least a decade away from having user-accessible hardware for AI that doesn’t break the bank. I don’t think we have a decade to spare, however.

        • Jhex@lemmy.world
          link
          fedilink
          English
          arrow-up
          9
          arrow-down
          1
          ·
          1 month ago

          AI is already expected and required in my job

          then you should be looking for a new job… unless you happen to be on a very specific niche, any company so committed to current AI that cannot survive without, will implode in short time

          • JGrffn@lemmy.world
            link
            fedilink
            English
            arrow-up
            6
            arrow-down
            4
            ·
            1 month ago

            Have fun finding a coding job that doesn’t expect you to use AI. My entire circle of contacts on the field are already there, so right off the bat my main way of getting a job would be crippled.

            • emmanuel_car@fedia.io
              link
              fedilink
              arrow-up
              3
              ·
              1 month ago

              Yeah the IT department of my company had an all hands meeting today and I was a little taken aback by how much AI push there was, how much devs are expected to use it, and how much it’s costing us. They say it saves time, but there was a notable drop in app quality over the last few months, I can’t say it was caused by devs using AI for sure, but it is the most obvious answer considering there hasn’t been a big staff turnover in the same time period…

        • tal@lemmy.today
          link
          fedilink
          English
          arrow-up
          3
          ·
          edit-2
          1 month ago

          Speaking as someone with what I’d consider to be a pretty decent homelab, I can’t self host the kind of AI that I use for work, not without literally emptying my savings into the hardware and energy needs.

          I think we’re at least a decade away from having user-accessible hardware for AI that doesn’t break the bank.

          So, for coding, which is what Gates was specifically talking about being doable now, maybe we could corral up the hardware. Like, maybe one could cover specific fields.

          There are still going to be issues like power and cooling and hardware cost and whether people who make competitive models are even interested in providing it for home use (since it makes it harder for them to make a return on their model). But set that aside.

          As I’ve said before on here, I would say pretty confidently that we will not have local models running to do all of the stuff that cloud compute is used for or is being built out to for at least something like four to five years, and that’s if we started immediate, massive buildout of memory fabrication to a much greater degree than we have. You cannot build a new memory factory in less than that timeframe, and we will not have that capacity with existing factories. The majority of fabricated memory now is going to cloud AI use, and cloud AI hardware will have considerably higher capacity utilization than hardware at home. You’d have to have many times over as much memory being produced to have the same compute capacity at home.

          I’m not opposed to doing LLMs or parallel compute at home at all. I have a 128GB Framework Desktop and an XT 7900 XTX that I got to do just that. I’m just saying that we are not going to realistically be able to move all of the stuff in the cloud to the home for at least something like half a decade, and very probably more, because humanity does not have the memory available and can’t build enough memory fabrication capacity for it in that timeframe. It doesn’t matter how much value is being provided by some home user of that hardware or what their willingness is to spend on it if we don’t have the memory. Like, even if every person in the world could produce, to pull a number out of the air, a real $1M in value every year via use of a home AI rig, even if all that demand suddenly materialized out of thin air, all that would happen is that prices would rise sufficiently to make the hardware unaffordable even at those extreme levels. The constraint is on the supply end, not the demand end.

        • NarrativeBear@lemmy.world
          link
          fedilink
          English
          arrow-up
          1
          ·
          1 month ago

          Understandably you won’t be running meta level Machine models, but running olama and downloading a open LLM model can get users started for simple things they might have already been doing.

          I am running a fully local model for my smart home needs, since Google’s killed of Assistant and is now pushing Gemini down my throat, I figured I would just do it my self.

          For anyone interested take a look at NetworkChuck on YouTube. His videos are a little to sensational for me, but he does have some interesting topics covered from time to time.

          https://www.youtube.com/watch?v=QQEgIo4Juxg

      • deeprlyeh@lemmus.org
        link
        fedilink
        English
        arrow-up
        4
        ·
        1 month ago

        Understanding is a long time coming. It will probably take businesses realizing they are stealing all their trade secrets when using LLMs for any meaningful information to come out.

        • bountygiver [any]@lemmy.ml
          link
          fedilink
          English
          arrow-up
          1
          ·
          1 month ago

          There’s none, you always need to validate its output yourself. The models lack the capability to understand if something it produce is wrong or malicious.

  • SecretiveVault@lemmy.zip
    link
    fedilink
    English
    arrow-up
    49
    arrow-down
    2
    ·
    1 month ago

    Isn’t this the guy who tried to slip his wife STD medicine because he had sex and caught something from (allegedly underage) Russian prostitutes on Epstein Island?

    • Nouvellalia@lemmy.world
      link
      fedilink
      English
      arrow-up
      8
      arrow-down
      1
      ·
      1 month ago

      “allegedly underage” oh sure, ole Willy Gates fucked Epstein’s old lady slaves. Which he was known for.

    • Tollana1234567@lemmy.today
      link
      fedilink
      English
      arrow-up
      3
      ·
      1 month ago

      bill asked EPSTEIN how to sneak it into his wife without her noticing. he probably couldnt do it because abx has to be properly prescribed depending on the type of bacteria, and for how long. its not like single pill cures it once and all.

  • 𝕸𝖔𝖘𝖘@infosec.pub
    link
    fedilink
    English
    arrow-up
    44
    ·
    1 month ago

    I don’t understand what people have against Al. I thought we all loved Al. Al is the coolest. A little weird, but I mean, that’s Al’s appeal.

    • JcbAzPx@lemmy.world
      link
      fedilink
      English
      arrow-up
      2
      ·
      1 month ago

      He’s working too hard. We just care about his well being. He doesn’t need to be doing everything by himself.

  • Blibly@lemmy.world
    link
    fedilink
    English
    arrow-up
    34
    arrow-down
    1
    ·
    1 month ago

    Oh hey both of these guys can get a data center shoved up their asses sideways

  • Tollana1234567@lemmy.today
    link
    fedilink
    English
    arrow-up
    27
    ·
    1 month ago

    poor BILL, trying to distract people from him being with epstein and giving his wife an std, notice how all the news about his philantrophy stopped immediately after all this news came out. thats why thought his “charities” are just scams the whole time.

  • electric_nan@lemmy.ml
    link
    fedilink
    English
    arrow-up
    16
    arrow-down
    1
    ·
    1 month ago

    Fuck this pedophile pirate trying to stay relevant and respectable. Who the fuck is saying that AI will create more jobs??

    • thevoidzero@lemmy.world
      link
      fedilink
      English
      arrow-up
      4
      ·
      1 month ago

      There’s a whole band of people who only listen to rich people. Because “they’re rich because they’re genius” mentality

  • Wildmimic@anarchist.nexus
    link
    fedilink
    English
    arrow-up
    12
    arrow-down
    1
    ·
    1 month ago

    This depends on:

    • Inference for tasks being cheaper than human labor. Probably possible in areas where labor costs are really, really high, but those are also the areas where mistakes have severe consequences, and even a model that fulfills every request with 95% accuracy is NOT enough in these - and even the 95% are illusory if we look at real life data (no, synthetic tests do not count)
    • Human acceptance. This is where i see all of this falling apart. If you replace your consumer facing departments with AI, there’s a large amount of people who will do a lot to stay away from you.
    • Boiglenoight@lemmy.world
      link
      fedilink
      English
      arrow-up
      12
      ·
      1 month ago

      A friend who’d just bought a new car spent 10 min on the phone with Geico trying to speak to a human. Their Sam’s Cola version of ChatGPT convinced me to never consider them for insurance. It was fuuuucked.

  • nonentity@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    12
    arrow-down
    1
    ·
    1 month ago

    One of the greatest sociopaths in history claiming society must embrace lobotomisation to appease his imaginary god.

    Financial obesity is neurotoxic, and anyone afflicted should be quarantined from the decision making processes which affect those not contaminated.

  • FuglyDuck@lemmy.world
    link
    fedilink
    English
    arrow-up
    10
    ·
    1 month ago

    This how you know Microsoft is behind on forcing AI into everything.

    Probably lost the race, in fact.

  • Fishnoodle@lemmy.world
    link
    fedilink
    English
    arrow-up
    10
    arrow-down
    1
    ·
    1 month ago

    Every answer here saying llms aren’t that bad is basically telling you to stop trying to learn for yourself, and just get better at telling the Lazy Lying Machine to not be so lazy and not lie as much.

    Even if you get good at it, you still don’t have an actual skill at the end of the day

  • yermaw@sh.itjust.works
    link
    fedilink
    English
    arrow-up
    7
    arrow-down
    1
    ·
    1 month ago

    Who’s saying it will create more jobs? I’ve literally never heard that claimed anywhere. Someones probably saying it, presumably, but that’s not at all even once what I’ve heard.

    Either AI will prove incapable of replacing us, and we keep the same amount of jobs as we currently do, or it will replace us. Horses never really found that much work after we developed the combustion engine…

  • lechekaflan@lemmy.world
    link
    fedilink
    English
    arrow-up
    6
    ·
    1 month ago

    Having seen fucking crypto and NFTs and now this LLM abomination, their fucking greed and narcissism… absolutely nauseating.

    What is tragic, though, there are whole countries being pushed by their governments – already lobbied by big techbros promising “miracles” – to normalize LLMs as if these are nothing to worry about, anywhere from queries to create posters and… fuck damn, essays.