Its "product recommendation" capabilities are growing quickly, which is directly convertible to ad revenue, and we know ad revenue sustained Google for two decades.
I'm aware of other applications of AI and LLMs, but what most of the people see are the consumer facing ones like ChatGPT/Gemini/etc.
The behavior I need is typical “honest broker” behavior. These folks have been around for centuries. It’s a totally valid (and valuable) service.
If I can present a specific workflow and requirements description to ChatGPT, and it responds with paid recommendations that actually match my needs, I don’t really mind. I would still like to know about alternatives, but I will still have something that will fit the bill.
As noted on the thread, a good ML model can do better, with less. I can use that kind of recommendation system for discovering my alternatives for a given item/tech/whatever, on demand.
But current crop of LLMs, with a strong leaning for embedding seamless ads into prompt responses, a double no. No, because I don't agree on how training data is stol ^H^H^H^H collected from wider internet and everything, another no for unsolicited ads.
I'll continue using Kagi and being a luddite, thanks.
[0]: https://research.google/blog/mechanism-design-for-large-lang...
If LLMs can become true brokers, that would be great, but the pressure to corrupt would be tremendous.
Not sure if we’ll ever get there, though. I have hope. The broker model is centuries old. It’s really a solved problem. The issue is that the current generation is notoriously bad at learning from history.
> The issue is that the current generation is notoriously bad at learning from history.
On top of that, the same people think they can just move to another planet and survive by eating money there.