this post was submitted on 15 Oct 2025
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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.
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.
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.