• Voytrekk@sopuli.xyz
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    7 days ago

    It’s stupid how much they are pouring into hardware that might be vastly obsolete. By the time AI becomes truly intelligent, there may be specialized chips that are efficient at running models that blow GPUs out of the water.

    Look at how it happened to bitcoin mining. Nobody serious is using a GPU to mine when ASIC is available.

    However, I don’t see all this hardware hitting the second hand market once a better solution is found. I’m sure they will keep trying to make compute hard to get for the average person so they can rent out their servers for a crazy price.

    • mabeledo@lemmy.world
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      7 days ago

      By the time AI becomes truly intelligent, there may be specialized chips that are efficient at running models that blow GPUs out of the water.

      Truly intelligent? What?

      • Voytrekk@sopuli.xyz
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        7 days ago

        I wouldn’t call what we have now as true artificial intelligence. That doesn’t mean that we will not achieve it in the future.

        • mabeledo@lemmy.world
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          6 days ago

          Personally, I don’t think we can characterize LLMs as “intelligent”, since they are statistical machines.

          But given that most experts don’t even agree on what intelligence is, I don’t think we’ll ever reach a point where AI could be called “intelligent” anyway.

    • Pika@sh.itjust.works
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      6 days ago

      don’t say that, cause that means when they actually are up in running (as much as they can be) they will need to upgrade and cause another shortage once it seems it’s stablized again!

    • SleeplessCityLights@programming.dev
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      7 days ago

      Its worse. The expected life span of the compute server hardware is 2 years. The processors cannot be re-purposed and the memory needs to be re-packaged in a non-novel way. They will most likely send it too ewaste processing to get the precious and rare earth metals back.