• n3m37h@sh.itjust.works
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    4 hours ago

    These idiots need to stop with LLM and create more specific machine learning algorithms. Like language translations, program writing get them good at that specific thing. Use those algorithms to train new ones.

    The way they are building it is they poured a massive slab of concrete and refusing to make releif cuts. Over time the stresses cause breaks then shit gets under it and causes a mess. Build a good foundation, don’t jump to the final fucking stage

    • Voroxpete@sh.itjust.works
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      6 hours ago

      Maybe because we’re all getting really tired of industry propaganda designed to sell us on the “inevitability” of genAI when anyone who’s paying even a little attention can see that the only thing inevitable about this current genAI fad is it crashing and burning.

      (Even when content like this comes from a place of sincere interest, it becomes functionally indistinguishable from the industry propaganda, because the primary goal of the propagandists is to keep genAI in the public conversation, thus convincing their investors that its still the hottest thing around, and that they should keep shoveling money into it so that they don’t miss the boat).

      OpenAI, the company behind that giant bubble in the middle there, loses two dollars and thirty five cents for every dollar of revenue. Not profit. Revenue. Every interaction with ChatGPT costs them a ridiculous amount of money, and the percentage of users willing to actually pay for those interactions is unbelievably small. Their enterprise sales are even smaller. They are burning money at an absolutely staggering pace, and that’s with the deeply discounted rate they currently get on their compute costs.

      No one has proposed anything that will lower their backend costs to the point where this model is profitable, and even doubling prices (which is their current plan) will not make them profitable either. Literally not one person at OpenAI has put forth a concrete plan for the company to reach profitability. And that’s the biggest player in the game. If the most successful genAI company on the planet can’t figure out a way to actually make profit off this thing, it’s dead. Not just OpenAI; the whole idea.

      The numbers don’t lie; users, at best, find it moderately interesting and fun to play around with for a while. Barely anyone wants this, and absolutely nobody needs it. Not one single genAI product has created a meaningful use-case that would justify the staggering cost of building and running a transformer based model. The entire industry is just a party trick that’s massively overstayed it’s welcome.

      • TheFriar
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        5 hours ago

        I mean, fuck the profitability. What about its massive toll on our already crumbling climate? What about its hallucinations that were told by the massively powerful companies (currently, anyway) to just not worry about? What about the promise of it “revolutionizing” industries (corporate speak for fucking workers in new and exciting ways), what about the paradigm solidifying nature of this tech that they keep lying to us about being a democratizing super tool?

        Everything about this shit is trouble because of the world it was built into. This type of tech (even though most of its capabilities and uses are lies) in the hands of the people it’s in will only serve the rich and gobble up resources when we need to be scaling back our consumption. Instead, that endless investment is fueling our climate collapse.

        Fuck this LLM bullshit. It’s not for us. It will only hurt us in this timeline.

      • basmati@lemmus.org
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        7 hours ago

        It’s really not. It’s a fad like zip disks or ewaste recycling. Only it’s even more expensive while reducing productivity and quality of work everywhere it’s implemented, all for the vague hope it eventually might get better.

        • laranis@lemmy.zip
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          2 hours ago

          How dare you besmirch the good name of zip disks! There was a good 18 month period in the nineties where they filled a valid use case in the gap between floppy disks and the widespread instantiation of WAN solutions for moving and storing data.

        • TherapyGary@lemmy.blahaj.zone
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          46 minutes ago

          This is such a weak take. It’s constantly getting more efficient, and it’s already extremely helpful- It’s been incorporated into countless applications. OpenAI might go away, but llms and genai won’t. I run an open source local llm to automate most of my documentation workflow, and that’s not going away

        • dependencyinjection@discuss.tchncs.de
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          2 hours ago

          Do you think AI and / or AGI is a possibly at all given enough time?

          Because if the answer is yes, then don’t we need people working on it all the time to keep inching towards that? I’m not saying that the current implementations are anywhere close, but they do have their use cases. I’m a software developer and my boss the lead engineer (the smartest person I’ve ever met) has made some awesome tools tools that save our company of 7 people maybe a 100 hours of work a month.

          People used to complain about the LHC and that’s made countless discoveries that help in other fields.

          • basmati@lemmus.org
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            1 hour ago

            LLMs and GANs in general are to AI and AGI like a hand pumped well is to the ISS. Sure, they both technological marvels of their time, but if you’re wanting to float in microgravity there is no possible adjustment you can make to the former to get it to actually behave like the latter.

        • asmodee59@lemmy.world
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          3 hours ago

          I would be really annoyed if it was just a fad seeing as it makes me save at least an hour of work a day.

  • itsgroundhogdayagain@lemmy.ml
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    11 hours ago

    Google doesn’t really let you say no, do they? Maybe there is a setting somewhere to turn it off but Gemini shows up at the top of most searches.

    • boonhet
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      10 hours ago

      Luckily it seems to be regional. I don’t have it