I find it pretty interesting that kagi is rated as Terrible search engine, even ChatGPT preforms better.

  • Aedis@lemmy.world
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    10 months ago

    At least what I see with this experiment/article is that is overly verbose, he takes a long time to get to the point. And then when he does his methodology shows an experiment that cannot be verified. Even when something is “subjective” we can still draw conclusions from it if we set up proper non-subjective ways of evaluating the results we see (ie. Rubrics). The fact that he doesn’t really say what leads him to say in detail what is a “terrible/v. bad/bad/good result” is a massive red flag in his method.

    After seeing that, I no longer read the rest of it. Any conclusions drawn from a flawed methodology are inherently fallacies or hearsay.

    If in any case it is further explained in the article and that somehow refutes what I’ve postulated later on, then I would have to say that the article is poorly written.

    All this to say… I agree with you, not worth the read.

    • iopq@lemmy.world
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      10 months ago

      The entire post is exact details for why he decides each rating for each query

      • Z4rK@lemmy.world
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        10 months ago

        No it isn’t. He for example evaluate that Kagi and Marginalia get the same score if you have to read as far down as to the 10th result for Kagi, while Marginalia has no answer. How is that the same score? There is no explanation. There is a lot of text, and then in the end he has made some subjective choices.