[loudmax]

I use LLMs all day and they've replaced a lot of what I'd previously searched for. Even so, I don't think I'm ready yet for an LLM as default search engine. LLMs are useful for generating information based on what they know about. For example, generating useful commands for tools like `ffmpeg` or `jq`. They're not better than a search engine for finding factual information, like "What is the population of Canada?" LLM hallucination is still a thing.

LLMs replace some of the work we'd previously had to rely on search engines for. They're not a replacement for everything, and they shouldn't be used as such.

[_fs]

I prefer kagi's approach. If I add a "?" to the end of my search query, I get a LLM response at the top of my search results. Any LLM response includes source links to quickly verify the information presented. So, if I am using search engine to quickly check a fact, say "What year did Tremors come out?" I get the following at the top of the results:

Quick Answer

  The movie Tremors was released in 1990 12. It is an American monster horror film starring Kevin Bacon and Fred Ward 12.

 References

  r/movies on Reddit: Tremors (for those who saw it when it came out www.reddit.com

  Tremors (1990 film) - Wikipedia en.wikipedia.org

[currymj]

this feature is one where ChatGPT will actually do a Bing search (sometimes rewriting your search query), and then show you a summary of the content of the links.

so "hallucinations" are more rare, although the model may be very gullible with respect to the content of the search results, which is similar.

[soulofmischief]

It's just going to regurgitate the first few things it sees without applying critical reasoning. These models aren't quite there yet for search reliability.