As the AI market continues to balloon, experts are warning that its VC-driven rise is eerily similar to that of the dot com bubble.

  • hark@lemmy.world
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    1 year ago

    .com brought us functional things. This bubble is filled with companies dressing up the algorithms they were already using as “AI” and making fanciful claims about their potential use cases, just like you’re doing with your AI example. In practice, that’s not going to work out as well as you think it will, for a number of reasons.

    • linearchaos@lemmy.world
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      1 year ago

      Gentlemans bet, There will be AI teaching college level courses augmenting video classes withing 10 years. It’s a video class that already exists, coupled with a helpdesk bot that already exists trained against tagged text material that already exists. They just need more purpose built non-AI structure to guide it all along the rails and oversee the process.

      • Ragnell@kbin.social
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        1 year ago

        @linearchaos How can a predictive text model grade papers effectively?

        What you’re describing isn’t teaching, it’s a teacher using an LLM to generate lesson material.

        • linearchaos@lemmy.world
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          1 year ago

          Absolutely not, the system guides them through the material and makes sure they understand the material, how is that not teaching?

      • yumcake@lemmy.one
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        1 year ago

        In the current state people can take classes on say Zoom, formulate a question, and then type it into Google, which pulls up an LLM-generated search result from Baird.

        Is there profit in generating an LLM application on a much narrower set of training data to sell it as a pay-service competitor to an ostensibly free alternative? It would need to pretty significantly more efficient or effective than the free alternative. I don’t question the usefulness of the technology since it’s already in-use, just the business case feasibility amidst the competitive environment.