“What trillion-dollar problem is AI trying to solve?”

Wages. They’re trying to use it to solve having to pay wages.

  • @UnderpantsWeevil
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    5 days ago

    you cannot claim that LLMs are worthless

    It’s not a question of “worthless” so much as “net benefit”. How much money and manpower are we investing in the tools?

    Because, right now, the Sam Altman approach to LLMs is to simply throw more compute at the problem forever. The degree to which he seems interested in reinventing the model or the foundational technology pales beside his demands for GWhs of new power to brute force a better solution.

    If you’re spending $1T to do $100B worth of human labor, that’s not any kind of efficency.

    • @Grimy
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      65 days ago

      I understand the sentiment but there are very few technologies that didn’t need a disproportionate amount of research and development before seeing proper “net benefits”.

      • @Tehdastehdas
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        14 days ago

        Brute forcing is the least efficient R&D. Best efficiency was achieved at Bell labs, ARPA, early NASA, Xerox PARC.

      • @UnderpantsWeevil
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        15 days ago

        The trash bin of history is full of ideas that absorbed enormous amounts of resources and labor, only to flounder on implementation. The idea that Sam Altman’s pet project just needs another trillion to take off is heavily predicated on him building the next Model T and not the next Hindenburg.

        • @[email protected]
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          35 days ago

          The Hindenburg exploded due to political reasons. It was capable of flying with helium, but the US was the biggest He producer in the world during the time.

          • @UnderpantsWeevil
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            -35 days ago

            Americans rapidly constructing for-profit nuclear power plants to power AI server farms without any kind of plan on where to source fuel or dispose of waste won’t know anything about this.