I think I agree with you. I signed up for Perplexity Pro ($20/month) many months ago thinking I would experiment with it a month and cancel. Even though I only make about a dozen interactions a week, I can’t imagine not having it available.

That said, Google’s Gemini integration with Google Workplace apps is useful right now, and seems to be getting better. For some strange reason Google does not have Gemini integration with Google Calendar and asking the GMail integration what is on my schedule is only accurate if information is in emails.

I don’t intend to dump on Google, I liked working there and I use their paid for products like GCP, YouTube Plus, etc., but I don’t use their search all that often. I am paying for their $20/month LLM+Google One bundle, and I hope that evolves into a paid for high quality, no ad service.

Only if it does nothing. In fact Google is one of the major players in LLM field. The winner is hard to predict, chip makers likely ;) Everybody jumped on bandwagon, Amazon is jumping...

Source?

Anecdotally speaking I use google search much less frequently and instead opt for GPT4. This is also what a number of my colleagues are doing as well.

I often use ChatGPT4 for technical info. It's easier then scrolling through pages whet it works. But.. the accuracy is inconsistent, to put it mildly. Sometimes it gets stuck on wrong idea.

Interesting how far LLMs can get? Looks like we are close to scale-up limit. It's technically difficult to get bigger models. The way to go probably is to add assisting sub-modules. Examples would be web search, have it already. Database of facts, similar to search. Compilers, image analyzers, etc. With this approach LLM is only responsible for generic decisions and doesn't need to be that big. No need to memorize all data. Even logic can be partially outsourced to sub-module.

I expect a 5x improvement before EOY, I think GPT5 will come out.

my own analysis