OpenAI said the structure will help it raise more money.
  • seven_phone@lemmy.worldEnglish
    1571·
    11 days 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.

  • BB84@mander.xyzEnglish
    641·
    10 days ago

    Stop depending on these proprietary LLMs. Go to !localllama@sh.itjust.works.

    There are open-source LLMs you can run on your own computer if you have a powerful GPU. Models like OLMo and Falcon are made by true non-profits and universities, and they reach GPT-3.5 level of capability.

    There are also open-weight models that you can run locally and fine-tune to your liking (although these don’t have open-source training data or code). The best of these (Alibaba’s Qwen, Meta’s llama, Mistral, Deepseek, etc.) match and sometimes exceed GPT 4o capabilities.

    • ArchRecord@lemm.eeEnglish
      131·
      10 days ago

      And there are also free, online hosted instances of those same LLMs in a (relatively speaking) privacy-protecting format from DuckDuckGo, for anyone who doesn’t have a powerful GPU :)

      • BB84@mander.xyzEnglish
        10·
        10 days ago

        Interesting. So they mix the requests between all DDG users before sending them to “underlying model providers”. The providers like OAI and Anthropic will likely log the requests, but mixing is still a big step forward. My question is what do they do with the open-weight models? Do they also use some external inference provider that may log the requests? Or does DDG control the inference process?

        • ArchRecord@lemm.eeEnglish
          71·
          10 days ago

          All requests are proxied through DuckDuckGo, and all personalized user metadata is removed. (e.g. IPs, any sort of user/session ID, etc)

          They have direct agreements to not train on or store user data, (the training part is specifically relevant to OpenAI & Anthropic) with a requirement they delete all information once no longer necessary (specifically for providing responses) within 30 days.

          For the Llama & Mixtral models, they host them on together.ai (an LLM-focused cloud platform) but that has the same data privacy requirements as OpenAI and Anthropic.

          Recent chats that are saved for later are stored locally (instead of on their servers) and after 30 conversations, the last chat before that is automatically purged from your device.

          Obviously there’s less technical privacy guarantees than a local model, but for when it’s not practical or possible, I’ve found it’s a good option.

          • BB84@mander.xyzEnglish
            2·
            9 days ago

            Okay that sounds like the best one could get without self-hosting. Shame they don’t have the latest open-weight models, but I’ll try it out nonetheless.

    • llama@lemmy.dbzer0.comEnglish
      5·
      10 days ago

      The issue with that method, as you’ve noted, is that it prevents people with less powerful computers from running local LLMs. There are a few models that would be able to run on an underpowered machine, such as TinyLlama; but most users want a model that can do a plethora of tasks efficiently like ChatGPT can, I daresay. For people who have such hardware limitations, I believe the only option is relying on models that can be accessed online.

      For that, I would recommend Mistral’s Mixtral models (https://chat.mistral.ai/) and the surfeit of models available on Poe AI’s platform (https://poe.com/). Particularly, I use Poe for interacting with the surprising diversity of Llama models they have available on the website.

    • Kbobabob@lemmy.worldEnglish
      2·
      10 days ago

      There are open-source LLMs you can run on your own computer if you have a powerful GPU.

      What defines powerful? What if you don’t have the necessary hardware?

      • llama@lemmy.dbzer0.comEnglish
        3·
        10 days ago

        You can check Hugging Face’s website for specific requirements. I will warn you that lot of home machines don’t fit the minimum requirements for a lot of models available there. There is TinyLlama and it can run on most underpowered machines, but its functionalities are very limited and it would lack a lot as an everyday AI Chatbot. You can check my other comment too for other options.

  • rottingleaf@lemmy.worldEnglish
    59·
    10 days ago

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

    • taladar@sh.itjust.worksEnglish
      31·
      10 days ago

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

      • bss03@infosec.pubEnglish
        2·
        10 days 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.

    • doomcanoe@sh.itjust.worksEnglish
      20·
      10 days ago

      Weird, I said this shit for years, and I was upvoted into the heavens, agreed with, called a hero, and acknowledged as a result.

      Maybe is not what was being said?

    • cm0002@lemmy.worldOPEnglish
      173·
      10 days ago

      Heh, I warn about Mozilla/Firefox all the time and get the same. I hope I’m wrong though :(

      • rottingleaf@lemmy.worldEnglish
        11·
        10 days ago

        Everything was clear about Mozilla the moment they started fighting the ecosystem around Gecko, with alternative browsers, useful extensions and so on. And, of course, the old usable UI.

        People just forget what they don’t know how to process.

        • scratchee@feddit.ukEnglish
          9·
          10 days ago

          Disagree, XUL was a dead end that either needed shooting behind the bike shed or it’d have taken Mozilla down with it inevitably. It froze their internal architecture to a design that didn’t care about multicore or modern security. Switching to a proper extension api (it didn’t matter if it was chromes or their own, only that they are willing to make their own decisions, like in manifest v3).

          That said, I suspect the real death blow was when they killed servo, that project was their distant salvation, a chance to genuinely outcompete technologically and direct where browsers need to go next. I too hope I’m wrong and they can figure out a path forward, but they’ve shown little ambition from the top, so I’m not holding my breath.

          Edit: you could argue that the solution to XUL should have been an upgrade to modern design rather than death, but that would have just been an expensive temporary reprieve, the world doesn’t stop changing, it was always going to be slow to correct to whatever direction they needed to go next (and meanwhile every extension dev would be screaming murder every time they killed some braindead api designed 20 years ago).

      • expr@programming.devEnglish
        111·
        10 days ago

        I don’t think you’ve paid enough attention. Back when ChatGPT first launched, they were treated as saints.

        The negative opinions have corresponded with public sentiment souring towards them in general (this did happen quite quickly, however).

        • Communist@lemmy.frozeninferno.xyzEnglish
          86·
          10 days ago

          Can you provide even one example? AI is my autistic obsession, and I never saw anything like that on lemmy even once.

          I was even regularly searching for “AI” using the search feature daily.

          I have never once seen this, and I don’t find it believable at all, honestly.

          • MouldyCat@feddit.ukEnglish
            2·
            10 days ago

            I think it’s another example of “internet bubbles” - people with similar views tend to congregate together and this is particularly true on the internet, when going elsewhere is always just a mouse-click away.

            When ChatGPT first launched, Lemmy was still pretty much a ghost town, and it did cause a lot of optimistic excitement e.g. on reddit. Lemmy got a big surge in numbers when reddit did its infamous API changes - enshittification driven by spez’s and other reddit executives’ insatiable lust to exploit the site for more and more money.

            Perhaps for this reason, people on Lemmy are more averse to the enshittification trend and generally exploitive nature of large tech companies. I think this is what people on Lemmy object to - tech companies’ concentration of power and profits by ripping off the general public - not so much the concept of LLMs themselves, but the fact they could easily be used to further inequality in society.

              • MouldyCat@feddit.ukEnglish
                2·
                10 days ago

                Yes you’re right, sorry I went off on a tangent about the reasons for the intense negativity in the Lemmyverse about LLMs. I’ve been using lemmy for four years, and definitely don’t think there has ever been any positive feelings towards LLMs here, especially as ChatGPT’s arrival predates the first surge of users on Lemmy (and the subsequent appearance of all the instances we see today). On reddit, yes, and there are still many people there who still think OpenAI is great.

  • sleen@lemmy.zipEnglish
    19·
    11 days ago

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

  • circuitfarmer@lemmy.sdf.orgEnglish
    213·
    10 days ago

    There was never another outcome.

    Capitalism breeds one thing, and it certainly isn’t innovation, and it most definitely isnt not-for-profit innovation.

    • futatorius@lemm.eeEnglish
      5·
      10 days ago

      Capitalism is extremely good at breeding superficial, go-to-market innovation. It’s less good at funding the pure research that leads to major discoveries. But once it gets closer to engineering than to science, it’s highly effective. Even Marx commented on that.

  • Nightwatch Admin@feddit.nlEnglish
    191·
    10 days 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!

    • Nikelui@lemmy.worldEnglish
      15·
      10 days 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.eeEnglish
      3·
      10 days ago

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