Now, frequently, the AI summaries are on top. The AI summary LLM is clearly a very fast, very dumb LLM that’s cheap enough to run on webpage text for every search result.
That was a product decision, and a very bad one. Currently a search for "Suicide Squad" yields
> The phrase "suide side squad" appears to be a misspelling of "Suicide Squad"
I don't know that it's a bad decision, time will judge it. Also, we can expect the quality of the results to improve over time. I think Google saw a real threat to their search business and had to respond.
Millions, probably tens of millions of people have jobs trying to manipulate search results - with billions of dollars of resources available to them. With no internal information, it's safe to say no more than thousands of Googlers (probably fewer) are working to combat them.
If every one of them is a 10x engineer they're still outnumbered by more than 2 orders of magnitude.
https://www.wheresyoured.at/the-men-who-killed-google/
> The key event in the piece is a “Code Yellow” crisis declared in 2019 by Google’s ads and finance teams, which had forecast a disappointing quarter. In response, Raghavan pushed Ben Gomes — the erstwhile head of Google Search, and a genuine pioneer in search technology — to increase the number of queries people made by any means necessary.
(Quoting from this follow-up post: https://www.wheresyoured.at/requiem-for-raghavan/)
I don't think they are; they have realised (quite accurately, IMO) that users would still use them even if they boosted their customers' rankings in the results.
They could, right now, switch to a model that penalises pages for each ad. They don't. They could, right now, penalise highly monetised "content" like courses and crap. They don't do that either.[1]
If Kagi can get better results with a fraction of the resources, there is no argument to be made that Google is playing a losing game.
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[1] All the SEO stuff is damn easy to pick out; any page that is heavily monetised (by ads, or similar commercial offering) is very very easy to bin. A simple "don't show courses unless search query contains the word courses" type of rule is nowhere near computationally expensive. Recording the number of ads on a page when crawling is equally cheap.
It’s nowhere near good either. What about the searches for cuorses or classes or training?
Why would they drop that? It's not as if they have to throw away all the preprocessing they do on the search query.
They can continue preprocessing exactly like they do it now.
Google's algorithm is the target for every SEO firm in the world. No one is targeting Kagi. Therefore, Kagi can use techniques that would not work at Google.
Meanwhile, every single person I know has come to trust Google less. That will catch up with them eventually.
Surely there is a way to correct it: getting the issue on the front page of HN.
I have tried reporting these fake paths in the past but it didn’t get them removed.
https://www.waze.com/live-map/directions/us/va/arlington/alc...
Well, in this case the inaccurate information is shown because the AI overview is combining information about two different people, rather than the sources being wrong. With traditional search, any webpages would be talking about one of the two people and contain only information about them. Thus, I'd say that this problem is specific to the AI overview.
I had to fight a similar battle with Google Maps, which most people believe to be a source of truth, and it took years until incorrect information was changed. I'm not even sure if it was because of all the feedback I provided.
I see Google as a firehose of information that they spit at me ("feed"), they are too big to be concerned about any inconsistencies, as these don't hurt their business model.