[LanguageGamer]

I use LLMs to answer certain questions, but those are often questions that I wouldn't have bothered using a search engine for in the past, rather I would have asked a colleague or just thought through the question on my own. And when I try to ask an LLM questions that search engines are good at, I'm most often disappointed.

In other words, it's not clear to me LLMs are going to eat into the market share of search engines, rather than just providing a tool with largely orthogonal use cases. But we'll see how the tech develops from here.

[edgefield]

I strongly disagree. As a simple example, just this week I was looking for ice breaker questions for a work team event. I started with Google and was wading through a myriad of pages stuffed with ads and noise. I happened to have Claude open for an unrelated work experiment and thought to ask Claude for ice breaker questions. It provided 10 good questions and I selected the first two. It’s just a matter of time until we retrain our brains to first use LLMs before Google and then Google’s usage is going to drop like a rock. LLMs for many use cases is simply better, providing better results with far less noise.

[TillE]

That's pretty much the ideal use case for LLMs, as a tool for creative brainstorming where the question of accuracy is irrelevant. I've used them like that frequently for help in writing/worldbuilding.

But I think it's safe to say that the vast majority of Google searches are looking for factual information of some kind. I can see LLMs as an interface on top of search, but not replacing it.

[delfinom]

Until a few more years from now, the AI firms need to make profit and Claude has some special offers to upsell you before giving you a response. Lol

[queuebert]

As a person with reading comprehension skills, I'm still not sure what a use case is for LLMs for me. Everything I try feels like outsourcing a homework problem to a middle schooler.

There is so much more you can pick up by reading a text yourself, even quickly, than comes through when an LLM summarizes a text or answers a complicated question. The way the text is written, the language chosen, the punctuation, the sources chosen, etc.