• Imgonnatrythis@sh.itjust.worksEnglish
    3 hours

    Alright, I’ll bite. What’s going on with all these graphics with people with some sort of colorful grid pattern behind them lately?

  • yeehaw@lemmy.caEnglish
    3 hours

    And they will soar ahead with their clean energy powering their datacenters too

  • sepi@piefed.socialEnglish
    4 hours

    Lol. Have you seen the US Olympic Math Team? The US is fucked lol. Qwen 3.6 30B is surprisingly performant and runs on a fucking laptop, don’t need to drink your water down or steal your land.

  • shameless@lemmy.worldEnglish
    5 hours

    I feel as though many are beginning to understand that AI is simply just another tool that has a place in specific use cases. It is not a magical technology which can be widely implemented.

    • Magister@lemmy.worldEnglish
      5 hours

      In software coding I must say copilot in vscode is pretty impressive and very useful

      • DrinkMonkey@lemmy.caEnglish
        5 hours

        My homelab has never been running more smoothly and I’m learning tonnes with effectively bespoke tutorials for my exact setup. At work, if I spend weeks developing a high quality report, translating it into derivative documents (like work plans or policy documents) has never been easier to get started. It gets me unstuck in a few keystrokes with a “shitty first draft” that I can refine. But you have to start with good info - it can’t make something good out of nothing. I see value, but maybe different from what it’s being sold as.

  • TheJesusaurus@piefed.caEnglish
    6 hours

    That would imply that AI does something profitable, which it doesn’t appear to

  • brucethemoose@lemmy.worldEnglish
    3 hours

    Well, I bought 1 year of GLM’s coding plan for basically nothing ($50?) last year.

    …I now see its many hundreds of dollars, and its API is so busy it gets throttled.

    Seems like devs are catching on.

    FYI, for anyone interested in this stuff, I would suggest 1 year of Xiaomi’s coding subscription.

    MiMo 2.5 is fantastic, beyond what benchmarks show. It’s a genuinely useful general purpose model with better prose/world knowledge than others. It’s quite uncensored. It’s not just some deep fried agent, and it’s dirt cheap right now because no one has realized it yet (kind of like GLM 6 months ago).

    And before you ask, I use local models too. I sometimes run a custom IQ3_KT of MiMo 2.5, in fact, which is how I figured out it’s good. self hosting is the way. Gestures at the forum we’re on

    But for stuff where privacy isn’t so critical, it’s still nice to have a year of an unquantized, fast API of a huge model for like $50.

  • FireWire400@lemmy.worldEnglish
    4 hours

    Huh? Half a year ago China was apparently much better at AI than anyone else, now they’re just catching up?

    • TheFogan@programming.devEnglish
      4 hours

      I don’t think they said they were “better”, if I recall they did “almost as much with far less resources”. and really the bigger thing was they were releasing a lot as open source.

      IMO I think that’s what the real tech giants are worried about. Honestly I think I’m actually seeing the real goal of AI… and the worse part of it is, AI is the secondary feature.

      Sam Altmen made a comment on wanting to see basically compute sold as like a utility to people. Crucial is getting out of selling hardware to people. I’m leaning towards the idea that the ballooning hardware costs isn’t a side effect, it’s the primary intention. The idea of it is basically to move all of computing to a model more like Netflix, or say what Googles stadia gaming console was etc…

      The goal is a future where personal PCs are a rare luxury like power generators. For normal use we get crappy thin clients to connect to cloud services with our software. Super government and corporate friendly. Everything super accessible by government and scannable for AI training etc… Encryption can basically become meaningless because they can log straight into the machines.

      China’s a big threat because… they could encourage in house models. IE an agent that runs in your house, or companies run them in their server rooms, and most importantly they can be trained individually with your personal data and company data, without creating the privacy and security nightmares of wondering if chatgpt could share all of your personal information with a random dude or competing company. Plus if we are talking individual hardware, that hurts the actual overall goal of shifting all focus of all hardware manufacturers towards data center modules that consumers and even medium sized businesses can only rent.

      • Buelldozer@lemmy.todayEnglish
        44 minutes

        Sam Altmen made a comment on wanting to see basically compute sold as like a utility to people.

        Meh, that idea is as old as Compute itself. In the early days, basically the 50’s into the 80’s, you had dumb terminals that only provided a connection to the actually powerful centralized hardware. Think mainframe although it went by different terms at different times.

        Every decade or so someone like Altman regurgitates the concept and to date no one has been able to make it widely successful. For example Microsoft has been chasing it since the NT4 days when they licensed multi-session technology from Citrix and rebranded it as “Remote Desktop Services”. It’s still in use today by corporations but outside of particular industries with high demands for secure remote access you’ll almost never see it.

        So the idea and actual implementations of it have been around for decades but it never catches on because it’s always more expensive, less performant, and less flexible than hoped for.

        With that said if you cock your head and squint we kinda sorta reached it with all the browser and app based online services like e-mail, listening to music, etc. Kinda. It breaks down though in the exact place that it always has…when you want to create something more involved than a text document. Suddenly it’s back to it being more expensive, less performant, and less flexible than doing it on local hardware.

      • decolo@piefed.socialEnglish
        3 hours

        Killing the consumer hardware market is hand in hand with killing 3d printing and chat control.

  • shittydwarf@piefed.caEnglish
    4 hours

    In the cold war the Soviets used to say things like this to trick the Americans into wasting time and money on stupid shit