• chuckleslord@lemmy.world
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    2 months ago

    … the search engines became crap because of ai

    Plus, ai just lies. It’s not a replacement

      • chuckleslord@lemmy.world
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        2 months ago

        If your definition of ai is only LLMs, sure. But it’s been algorithmic tweaking and SEO wars for a while now.

        • __Lost__@lemmy.dbzer0.com
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          2 months ago

          That is irrelevant. We are specifically talking about LLMs ruining Google searches, which is the last couple of years.

    • UnderpantsWeevil@lemmy.world
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      2 months ago

      … the search engines became crap because of ai

      I mean, search has always been built on some kind of LLM. That’s how you convert a query into a list of page-results.

      We’ve just started trying to wrap the outputs into a natural language response pattern in order to make them feel more definitive and more engaging. The “AI” part of search is mostly window-dressing.

      Plus, ai just lies.

      It has inaccurate heuristics and often tries to back-fill what it can’t find with an approximation in order to maintain user engagement.

      Idk if I’d even call it lying, so much as bullshitting.

      • self@awful.systems
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        2 months ago

        I mean, search has always been built on some kind of LLM. That’s how you convert a query into a list of page-results.

        no it fucking hasn’t. the stemming and page ranking algorithms used in traditional search have absolutely nothing to do with LLMs.

        shit, neither stemming nor PageRank as originally defined even have a machine learning component. here’s postgres’ full text search suite, which literally converts a textual query into a list of results (sans page ranking, which is out of scope for a database) in a manner suitable for a production search engine, utterly without any machine learning or other stochastic crap.