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Traditional search can become "spamming text" nowadays because search engines like Google are quite broken and are trying to do too many things at once. I like to think that LLM-based search may be better for direct questions but traditional search is better for search queries, akin to a version of grep for the web. If that is what you need, then traditional search is better. But these are different use cases, in my view, and it is easy to confuse the two when the only interface is a single search box that accepts both kinds of queries.

One issue is that Google and other search engines do not really have much of a query language anymore and they have largely moved away from the idea that you are searching for strings in a page (like the mental model of using grep). I kinda wish that modern search wasn't so overloaded and just stuck to a clearer approach akin to grep. Other specialty search engines have much more concrete query languages and it is much clearer what you are doing when you search a query. Consider JSTOR [1] or ProQuest [2], for example. Both have proximity operators, which are extremely useful when searching large numbers of documents for narrow concepts. I wish Google or other search engines like Kagi would have proximity operators or just more operators in general. That makes it much clearer what you are in fact doing when you submit a search query.

[1] https://support.jstor.org/hc/en-us/articles/115012261448-Sea...

[2] https://proquest.libguides.com/proquestplatform/tips



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