• Hueristic_Autistic@lemmy.world
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    5 minutes ago

    I’ll reinstate my previous comment. Crackhead Altman fuck himself with a 12"er.

    Here’s my thought and in mimicking an Ai overview for fun: I think that guy needs a comprehensive psychological evaluation. He might think he’s okay but he needs to find a health professional for his constant delusions of grandor. I recommend CBT or Thorazine.

    • Duamerthrax@lemmy.world
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      36 minutes ago

      "We see a future where intelligence is a utility, like electricity, and people buy it from us on a meter,” - Sam Altman

  • Allero@lemmy.today
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    3 hours ago

    I mean, he has a point. Hardware is used way more efficiently in the data center, and any sort of deficit is best resolved in a centralized system due to more efficient resource allocation. The same setup could be used like 2 hours a day for your personal needs, or 24 hours a day to serve many people.

    THAT SAID, their greed and unsatiable desire to make the number go up by hooking us into subscription economy with ever rising costs is what lead us here and it leaves us with little choice but to accept the less efficient way and host these things ourselves.

    Remember the times not so long ago when self-hosting was an enthusiast hobby instead of necessity? Barely anyone non-geeky bothered with it, because what existed served people well. Now, having to build our own services remains the only sane choice, and the only way out of the nightmare Sam, among others, has built with his own hands.

    • T156@lemmy.world
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      42 minutes ago

      Hardware is used way more efficiently in the data center, and any sort of deficit is best resolved in a centralized system due to more efficient resource allocation. The same setup could be used like 2 hours a day for your personal needs, or 24 hours a day to serve many people.

      Only for a rather narrow definition of efficiency, though. For raw compute power, yes, but you’d also be adding a whole bunch of overhead from all the network traffic and routing that would be necessary for that sort of thing to work in the first place.

      If people used their desktops like in the old days where you’d connect to a mainframe or master computer, you’d end up needing computing hardware on both ends anyway, since the user side would need to be enough to be able to connect and send all the interactions to the master computer. At that point, you could just buff up the client computer, and do all that in the user’s home.

      There’s also an argument that some of the basic problems would still apply anyway. A data centre does not fully utilise 100% of its capacity. There’d always be some reserve to have failover if a server dies, or there’s a sudden spike in load, like with a home machine.

    • jj4211@lemmy.world
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      8 minutes ago

      In theory it can be more efficient but the consumer market never was going to contribute to the scarcity, and the bigger problem is the “must build AI datacenters” by all comers whether or not they actually have a plan to bring up and utilize.

      Altman kicked off a corporate hoarding storm by committing half of the world’s DRAM manufacturing supply, then every other corporate had to get in on it.

      The result according to a report I read is that over half of the technology delivered to these folks are sitting disused. Because they couldn’t get the right power to the datacenter, or maybe they did get all that lined up but don’t have the business relationship with whomever actually would use the capacity, or they otherwise botched things so their setup is not viable.

      The far bigger culprit is the bad datacenter buildout. Vilifying the consumer market is just a better narrative for his agenda.

    • TheObviousSolution@lemmy.ca
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      2 hours ago

      It doesn’t fulfill the same user case. One can be used offline, the other cannot. One can be used without a subscription, the other cannot. One needs to be running constantly to meet targets, the other can be run whenever I want. One has that memory being used by very specific services, the other has that memory being used for whatever I want to use it for. Why should we care about an efficiency factor that really only benefits Sam Altman and ignores all other metrics?

      If you think he has a point, I think you are being dazzled by the inherent proposition of an implementation in the ideal egalitarian society, which we do not live in nor is he really interested in providing.

    • Echo Dot@feddit.uk
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      2 hours ago

      The problem is that for less than a year’s subscription I can just buy my own equipment. So yeah it would be more sensible to centralise everything, but as you say the prices are too high.

      I keep saying this, AI is not commercially viable yet, it should still be in the lab and they shouldn’t be trying to sell it as a product. Maybe in a few years they’ll be able to distill that down to something that will run on a reasonable amount of hardware and subscription prices can become sensible. There’s no way in hell I’m giving them $200 a month to automate something that I do actually know how to do myself. You can still run out of tokens despite giving them $2,400 a year, so where’s my incentive to not just go and buy a Mac mini?

    • kreskin@lemmy.world
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      1 hour ago

      Hard disagree. It makes sense for certain use cases and not for others, like when you are near to a large pool of data to process, or running latency sensitive processes, or want security around the data being used. None of those use cases are going away.

    • Martti@suppo.fi
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      2 hours ago

      I might argue with centralized systems being the only ones that allocate resources most efficiently. You can have nearly same efficiency with decentralized models, except they are more complicated to implement, but the diversification is often worth it.

      • TheObviousSolution@lemmy.ca
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        2 hours ago

        In another timeline where RAM and GPUs were still largely consumer accessible, I wouldn’t doubt there would already be a SETI-like decentralized alternative for LLMs.

        • T156@lemmy.world
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          39 minutes ago

          I don’t know about that, mostly because the structure of LLMs at the moment make them incredibly bandwidth-hungry, and also quite sensitive to latency.

          You do have some small-scale versions of that, where people link a few smaller computers together to run a larger model, but that usually exists in the form of things like connecting machines via USB4/Thunderbolt, or Oculink, which are much faster and lower latency than a typical internet connection.

          There is something a bit like that, with the Kobold AI Horde, but that is still people hosting an entire model and sharing that over the internet, rather than something like Folding/SETI@Home, where you’re doing part of the actual calculations yourself.

          • TheObviousSolution@lemmy.ca
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            26 minutes ago

            I was actually thinking more like participants who can offer computational power during periods of no use, accrue reputation the more they contribute, and can use that reputation to offload computation to the cloud. If your PC was not powerful enough to run local LLMs, it would need to contribute a lot more, or perhaps it would just be limited to clouds of people running powerful enough GPUs for the local LLMs being used so they could get an added benefit to leaving it running at night.

            An LLM model running over across multiple PCs across the Internet would not really be workable, no, but their product is.

    • tapedriveforever@lemmy.zip
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      2 hours ago

      I think you mean effectively not efficiently, the resources use is the same if I local host or use a provider.

  • Aceticon@lemmy.dbzer0.com
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    3 hours ago

    “The entire way people use computing in the whole World should change so that my business model has a small chance of being viable”

    – Sam Altman

  • Echo Dot@feddit.uk
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    2 hours ago

    Alright let’s centralize all of the AI into one big data center, the cheapest place to put that would be in China so let’s build it there, no need for there to be lots of different companies either, nationalised all of their assets.

    Are you happy now Sam?

  • angstylittlecatboy@reddthat.com
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    3 hours ago

    So what Sam Altman is suggesting the part of socialism that makes people fear it (extreme utilitarianism run by falliable if not biased leaders) without the part that makes people support it (a more equitable distribution of wealth that makes sure everyone’s needs are met and the removal of an influential class that perpetuates undesirable and unnecessary conditions for their own personal gain.)

    • Sunflier@lemmy.world
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      1 hour ago

      extreme utilitarianism run by falliable if not biased leaders

      Uh, the US already has that

        • Sunflier@lemmy.world
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          4 minutes ago

          They got the shit leadership, but not the utilitarianism.

          Tell that to the jobless who are being evicted from their rented homes.

  • LooseLemons@lemmy.world
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    6 hours ago

    Hey everybody,

    Definitely don’t buy a 24GB Tesla P40 GPU on eBay for $350.

    Also please don’t use Gemma 4 on it for 3 parallel sessions with frontier intelligence.

    Also don’t install Tailscale and Open Web UI to get the exact same user interface and usability on the go.

    Thanks, Sam A

  • LuckyBoy@lemmy.world
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    4 hours ago

    He his now talking about ram, but think in the future when data centers building are concluded and he needs power.

    • jj4211@lemmy.world
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      48 seconds ago

      It’s a stupid thing for him to say out loud, because the way tech has been, the consumer market is never going to be a threat by self hosting instead of renting it. Time and time again the consumer market has displayed that it will happily toss money at uncertain subscriptions. Even when they buy home electronics, they don’t seem to mind when it’s inexorably tied to a company cloud service subject to termination at will. Same for businesses. Even for things that are trivial to self host, or things that don’t get value from an online service at all, people go for the cloud tied option.

    • Echo Dot@feddit.uk
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      55 minutes ago

      I don’t think long term any of the AI companies are going to survive. The more the costs go up the more incentivized someone is to come up with a more efficient model that doesn’t require the Earth into a planet-sized data center. Obviously the likes have open AI don’t want that because then they’d lose control.

  • Mwa@thelemmy.club
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    3 hours ago

    Why do you offer gpt-oss then?
    also i run LLMS on my PC cause the cloud ones either train on everything you tell them, i dont like the company behind it or requires signing in