From a user perspective, Google search is the most useful it has been in years, though that doesn't feel entirely like intentional improvement, just a lucky side effect of the move to "AI mode".
And yes, if you take what the AI tells you at face value it could be wrong. But if you are aware of this and aware of the ways in which LLMs are likely to shit the bed, it is quicker to get from request to useful information than it has been with Google search since like 2017.
And also, yes, the old balance of Google driving clicks to sites that will then generate revenue off more Google Ads being shown after you click through to them creating a virtuous cycle is completely busted, and that sucks. It does not impact me directly but it certainly seems like unless a better system is devised that it is one of a few ways in which AI is likely to stall out its own training funnel.
> But if you are aware of this and aware of the ways in which LLMs are likely to shit the bed, it is quicker to get from request to useful information than it has been with Google search since like 2017.
The point is not about 'quicker' requests but precise requests. It definitely has worsened, though not on a single degree on al levels like the HN hivemind claims, but some aspects are still somewhat precise but others are definitely crap.
i.e. when searching about my neighborhood it still returns better results than bing, yahoo, ddg, yandex and what have you. But they are buried into a load of crap of alleged "relevant" results (those things past the ai stuff) that aren't relevant in any way.
As someone who regularly reads things online, then wants to read them again like 3 years later, Google has been monotonically declining in quality.
Also I realized the other day how hard it is to find song lyrics for anything other than quite mainstream songs.