• @[email protected]
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    8912 days ago

    Current AI systems can perform sophisticated analysis, engage in complex reasoning, and execute multi-step plans.

    No, not really

    • SerotoninSwells
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      1812 days ago

      Claude’s month as a shopkeeper offers a preview of our AI-augmented future that’s simultaneously promising and deeply weird.

      Did the author have a stroke by the time they reached the end of writing the article? The mental gymnastics would be funny if it wasn’t terrifying.

    • @[email protected]
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      1912 days ago

      Depends on what you’re calling AI. LLMs (and generative AI in general) are garbage for all those things, and most things in general (all things if you take their cost into account). Machine Learning and expert systems can do at least some of that.

      I absolutely hate that generative AI is being marketed as though it’s deep learning instead of a fancy Markov chain. But I think I’ve lost the battle over that nomenclature.

      • @[email protected]
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        1411 days ago

        This. I work at a medical computer vision company, and our system performs better, on average, than radiologists.

        It still needs a human to catch the weird edge cases, but studies show humans plus our model have a super high accuracy rate and speed. It’s perfect because there’s a global radiologist shortage, so helping the radiologists we have go faster can save a lot of lives.

        But people are bad at nuance. All AI is like LLMs -_-

        • @[email protected]
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          211 days ago

          Case in point: the downvotes are from people who don’t know or care about the difference.