points by immibis2 13 hours ago | 0 comments
You don't want Google to be a direct keyword search. Well maybe sometimes you do, but not usually. Text search is not fundamental to the Google user experience - DWIM (do what I mean) is fundamental. The ideal user experience is that you type in what you want and the machine finds it or does it. LLMs designed and deployed properly are infinitely better at this than keyword search engines are, despite being less predictable.
Example search: video card game with the robot guy
AI overview [correct]: The video card game you are thinking of is likely Inscryption, which features a mysterious, robotic-looking or masked scrybe (like P03, the robot scrybe of technology)
[–] abixb 12 hours ago
[–] immibis2 11 hours ago
Something like: An LLM can encode a query into a vector to match against a vector database of indexed pages.
You have to actually engineer that though, you can't just throw random stuff into ChatGPT and expect good results.
[–] solarkraft 12 hours ago
That’s not what they’re doing either though. If I’m correctly informed, they are still running bog-standard Google searches under the hood and letting the LLM find the relevant stuff in them. It’s a bit of a godsend not having to do it yourself since the original results’ quality tanked so much. And kinda elegant from an algorithmic perspective actually.
It’s still not as good as actually searching the web semantically as I used to often find myself wanting to get rid of results that sounded vaguely like my search term but actually completely missed the point, but it makes it somewhat bearable again.
>LLMs designed and deployed properly are infinitely better at this than keyword search engines are, despite being less predictable.
In what way? How are LLMs more efficient and 'infinitely' better at this than what Google had before AI overviews? If anything, I find that search results have gotten worse.