Posted by awnird 15 hours ago
Maybe a job for an AI to do? :D
If you want it so bad stop crying and make it, that's what I've been doing. It works a lot better than whatever this post and many of these comments are. There are dozens of us !
It is a bit risky, and I think the broader internet can make it worse. There's always the risk of a massive falling-out between players and developers which can sink the game. Latest example is probably the Love and Deepspace fiasco, but we've seen quite a few failed launches recently.
Let's say I need a new vacuum cleaner and do a Google search. I get eight sponsored products. Three a links to stores I'd expect, the rest are fairly unknown sites, mostly the "We sell everything" stores. Weirdly enough also only one of them are via Google ads directly, the rest are via PriceToro and Channable, both of which I don't know.
My personal theory is that Google is still making pretty good money, but from increasingly questionable ads.
Not only is search revenue growing, but it is growing at an accelerating rate.
At the same time, operating margins are expanding.
I don't know the name of the logical fallacy where someone personally uses an LLM instead of Google Search and then infers that the search business is dying, without ever reading a financial statement.
A lot of corporate ad spend is already planned, and Google can adjust the costs up as much as they like. They hold the lever.
In the article it mentions the rise of other search competitors like Qwant implying they are causing Google to die as it bleeds market share to them.
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.
Also I realized the other day how hard it is to find song lyrics for anything other than quite mainstream songs.
https://github.com/asciimoo/hister
> Hister is a private search engine for the pages you visit and the files you keep. It indexes their full contents so you can find information again from the web interface, terminal, or an AI assistant connected through MCP.
I generally agree, but I think AI mode actually improved things somewhat compared to how things were just prior to it existing.
And I'm not saying what we have now is better than Golden Age Google, but things were just getting worse and worse for almost a decade. AI didn't fix the decade worth of decline, but it is the first thing I've seen from Google that at least partially reversed it for my own usage.
Just the other day I was trying to find out "What american tree species have the deepest roots". And all the AI responses were giving me back generic lists of big trees and claiming that roots going 20ft deep were the deepest. I know for a fact the mesquite trees behind my house can easily grow roots > 100 ft deep.
If I had clicked on the articles with generic lists of big trees, I would have realized they were all low quality clickbait sources and moved on. But the AI presentation makes you think that the information comes well-researched.
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.
I’ll add this article to the list of incorrect predictions lol