• BarneyPiccolo@lemmy.today
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    1 day ago

    “Our job at OpenAI and in the AI space — and we need to do a much better job — is to explain to people why … this is going to be really good for them, for their families and for society writ large,”

    And here is the crux of the problem - they are lying to us. After making it very clear that they wanted us to integrate AI into our jobs, it has also become clear that their ultimate objective is to replace as many jobs as possible with AI, even if the AI’s results are substandard, because the AI is so much more profitable.

    We KNOW the objective is to fire as many of us as possible, so the general public has become extremely hostile toward AI. Now the AI companies want to re-brand as family friendly assistants to our lives. Too late, assholes, we’re already onto you. Tell your lies walking.

    It must be awful to have fought to become a billionaire, thinking you could relax on the bodies of your vanquished foes, and enjoy the tranquility that you’ve earned, only to find out that you have created an endless supply of enemies who want you dead. You have to pay millions for security, only to find that someone can still put a bullet through your front window where you were standing only five minutes before. All that money, and the best it can do is buy you a windowless bunker to cower in.

      • sunbeam60@feddit.uk
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        3 hours ago

        They are currently selling it at a huge loss, agreed. They’ve got plenty of runway for specialised hardware prices to come down, for companies to get hooked and plugged into the ecosystem and for real value to be demonstrated.

        When this happens they’ll raise prices and companies will gladly pay it.

        Profit at this point is not relevant, seen from the perspective of investors.

        • e461h@sh.itjust.works
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          28 minutes ago

          That’s ’embrace, extend, extinguish’ for you. Question is if there is a profitable model to come. The usual economies of scale don’t seem capable of adding up in this case. Even the maniacs on Wall Street are balking.

      • BarneyPiccolo@lemmy.today
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        1 day ago

        Not yet, but wait until they’ve reduced their workforce by 75%, and they can save all those associated expenses.

        It won’t work, of course, but they’ve deluded themselves into believing it.

        • e461h@sh.itjust.works
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          18 hours ago

          Certainly part of the sales pitch. But so far it turns out humans are more efficient (cost less). I think the appeal to companies is the control (and the cost while it’s so heavily subsidized by the industry pushing it). The appeal to the major AI investors and execs is to… privatize the profits and socialize the losses. They will golden parachute themselves and leave the people with their mess.

          • nile_istic@lemmy.world
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            18 hours ago

            I think the appeal to companies is the control

            This part. Rich people never stopped jerking off over the idea of owning slaves.

        • ripcord@lemmy.world
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          1 day ago

          The vast majority of the costs are HW and infra

          I think they’re hoping that reaches more of a steady state

          • Passerby6497@lemmy.world
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            1 day ago

            I think they’re hoping that reaches more of a steady state

            With how quickly tech advances and hardware degrades under heavy use, they’re going to be pushing that rock up a hill for a good while lol

      • eleitl@lemmy.zip
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        24 hours ago

        It is very profitable in certain roles in the enterprise. This is orthogonal to it being a massive bubble, about to blow up.

        • e461h@sh.itjust.works
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          21 hours ago

          https://www.wheresyoured.at/the-subprime-ai-crisis-is-here/

          It could be, but it doesn’t look promising - and the fact that it’s pretty much impossible to know what the actual costs are is, in itself, very telling.

          When you use these services, the company in question then pays for access to the AI models in question, either at a per-million-token rate to an AI lab, or (in the case of Anthropic and OpenAI) whatever cloud provider is renting them the GPUs to run the models. A token is basically ¾ of a word.

          As a user, you do not experience token burn, just the process of inputs and outputs. AI labs obfuscate the cost of services by using “tokens” or “messages” or 5-hour-rate limits with percentage gauges, and you, as the user, do not really know how much any of it costs. On the back end, AI startups are annihilating cash, with up until recently Anthropic allowing you to burn upwards of $8 in compute for every dollar of your subscription. OpenAI allows you to do the same, though it’s hard to gauge by how much.

          • eleitl@lemmy.zip
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            4 hours ago

            Some enterprises do run their own hardware (these can ROI in 6 months or so), and there the economics is very well known. For the majority of the current use it’s a giant bubble, as Ed Zitron’s great analyses keep telling us.