• CanIFishHere@lemmy.ca
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    9 hours ago

    The story itself is pretty ridiculous. He starts with a conclusion, and then looks for stories to support that narrative. What should happen, is first establish criteria to measure if an AI project has been successful or not and then measure projects against that criteria. Instead the author uses anecdotal stories of projects he has heard failed, so it must all be wrong.

    Not one mention of the advances in medical research using AI, because it goes against his narrative.

    • jpreston2005@lemmy.world
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      6 hours ago

      If you read the article, he talks specifically about that. The people using AI for real shit, like protein folding, can use it to improve their work, because they’re experts at it, and know when the AI is fucking up. The AI helps, but could never, ever, replace them.

      The other question Suresh implicitly raises is: “How can you reconcile the failure of AI in the enterprise with the individual claims of skilled technologists who insist that AI is helping them do great work?” The answer is that these AI users are “centaurs” – experienced workers who are assisted by automation on terms that they set for themselves.

      Thanks to their skill and experience, these workers possess discernment, the ability to tell good code from bad, and (more importantly) good uses of code-generation tools from bad.