• sleen@lemmy.zip
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    2 months ago

    They should also change their name to ClosedAI while they’re at it.

    • taladar@sh.itjust.works
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      2 months ago

      Well, apart from the people like me who thought they had always been one because they acted exactly like one.

      • bss03@infosec.pub
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        2 months ago

        I thought they had successfully converted around the time they got the infusion of funds from MS. I thought they were started as a not-for-profit, but were already shady-as-shit when they stopped publishing stuff under open licenses.

  • seven_phone@lemmy.world
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    2 months ago

    So the development of inorganic intelligence, considered by many as an inflection point in human civilisation is to be handed to business graduates who are historically proven to be capable of any level of atrocity in the name of corporate greed. America, fuck yeah.

    • Jo Miran@lemmy.ml
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      2 months ago

      America Greed, fuck yeah.

      Don’t fool yourself. The USA lost the exclusivity deal on unchecked corpo greed a long time ago. This is a global issue now.

        • seven_phone@lemmy.world
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          2 months ago

          Yeah, the American tag was just a throwaway line, greed unchecked, insane and self-harming has always been with us. We let it sit with us around our camp fires like wolves but unlike wolves we never tamed it.

          • Hackworth@lemmy.world
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            2 months ago

            Then again, the US and China are basically the only players in this “game” atm. Hugging Face is trying hard to get the EU on-boarded, and I’m sure we’ll see more contenders. But right now it’s a 2-player game.

    • taladar@sh.itjust.works
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      2 months ago

      Actually corporations themselves are 99% of what people fear about AGI already in their inhuman decisionmaking to the detriment of humanity.

    • Ajen@sh.itjust.works
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      2 months ago

      What do you mean by “inorganic intelligence,” exactly? Do you think openai has already achieved it?

  • rottingleaf@lemmy.world
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    2 months ago

    No problem, after they release all the data collected under the excuse of public good and progress.

  • Nightwatch Admin@feddit.nl
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    2 months ago

    Hahaha. April 1st is early this year.
    They are never going to make enough money by selling licenses and subscriptions for the cost of their current models (smarter people than me have made good estimates), let alone the future ones. Those future models are at a much worse performance-cost ratio. Ads will at best bring in about 1 usd per user per month (estimated by Facebook revenue and number of users) - double or triple it just for lolz, and they would still be losing money.
    So… how will this be pulled off? Only wrong answers!

        • themurphy@lemmy.ml
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          2 months ago

          They don’t care if they earn money the next 5-7 years.

          And they will hit the point of a great model doing human work for less than a monthly salary. It’s just a matter of time.

          • purrtastic@lemmy.nz
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            2 months ago

            LLMs are not advancing enough any more. There just isn’t any more useful human generated text to train new models on. The net is already full of AI generated slop. OpenAI currently spends 2.35 USD to make 1 USD. It’s fundamentally unsustainable.

            • themurphy@lemmy.ml
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              2 months ago

              It costs 1 billion dollars to develop solar cells before they even sell the first product.

              The costed 100.000 dollars when starting to sell.

              They go for under 10 bucks per square today.

              And it’s like that for any technology ever invented.

              • Nightwatch Admin@feddit.nl
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                2 months ago

                Yes, but solar cells are in the end very simple products made of very simple resources, with a limited task: concerting one type of energy into another. That said, there is still research in making them more efficient and cheaper, and the that research isn’t cheap.
                But generative AI / LLM takes an insane amount of resources to train and maintain, is complex to create, with a very complex task, and a slight increase in quality takes progressively more resources (like, say 10% better would be 50% more energy use - I don’t have the numbers anymore but iirc they were even worse). A better LLM would therefore be much, much more expensive while people are apparently already underwhelmed with the latest models. With the growing competition, fast rising costs and meagre quality updates, while already unable to financially sustain themselves right now, I truly don’t see it. Honestly, this is why I think Microsoft is cramming their subpar Copilot into everything - to sort of justify all the money they pumped into this.

              • futatorius@lemm.ee
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                2 months ago

                It’s also like that for nearly every technology that has failed. For every Amazon that ran in the red until it grabbed enough market share to make a profit, there are 1000 firms that went tits-up, never having turned a profit. (Actual constant may vary from 1000, but it’s pretty damn big regardless).

          • fine_sandy_bottom@lemmy.federate.cc
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            2 months ago

            I’m incredulous.

            There was that thread asking what people are using LLMs for and it pretty much came down to “softening language in emails”.

            For most jobs LLMs can provide a small productivity bump.

            IMO if an LLM can do most of your job then you’re not producing much value anyway.

          • curbstickle@lemmy.dbzer0.com
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            2 months ago

            Without enough funding, they absolutely will care.

            Thats between $33 billion and $47 billion at current costs. Someone needs to fund that.

            I’d also note that their models seem to be getting worse, with outright irrelevant answers, worse perfoemance, failures in following instructions, etc. Stanford and UC Berkeley did a months-long comparison, and even basic math is going downhill.

    • Nikelui@lemmy.world
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      2 months ago

      Have a partnership with Microsoft and ship Windows 12 as the new “AI only” OS. Every command must go through ChatGPT to work. Then push updates to older Win11 OS to make them unusable.

    • futatorius@lemm.ee
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      2 months ago

      They’ll upgrade the Aibo and stick Altman’s face on it. People in offices can enjoy kicking it.

    • glitchdx@lemmy.world
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      2 months ago

      is there an easy way to do this that doesn’t require me to understand how github works?

      • llama@lemmy.dbzer0.com
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        2 months ago

        I think that in that case, YouTube is your friend. There are a few pretty straight forward videos that can help you out; if you’re serious about it you’re going have to, eventually, become familiar with it.

      • Shape4985@lemmy.ml
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        2 months ago

        Alpaca for linux is easy to use. You just install the flatpak and the llm of your choice. You dont need to know how to use github. (It might have a windows version but im not sure)

        • ipkpjersi@lemmy.ml
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          2 months ago

          For someone who doesn’t understand GitHub, the CLI might be a bit much, FWIW.

          It would be nice if there were a GUI, download-and-run single click app with a webui built in.

          • lime!@feddit.nu
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            2 months ago

            in that case you’re looking for llamafiles. single file, llm included, starts into a web gui. the only limitation is that windows limits the size of executable files to 4GB so on that OS you’re limited to smaller models.