I find it a fantastic tool to ask generalist questions that I can subsequently validate myself, when necessary.<p>It's largely replaced Google for me as a general purpose answer finder, for everything from basic coding and tech stuff to historical events, veterinary medicine/pet advice, homework help, tribal law, translations and cultural differences, GIS, biology, mental health, radio licensing, finance...<p>If an answer seems dubious, I'll double-check it the traditional ways. But that doesn't really happen all that often for me.<p>I also use it a lot for its natural language abilities, like asking "what do you call it when ____" or "what's that thing/company/software that does _____", which are traditionally really hard to do in keyword based engines like Google. The LLM is so much better at this than keyword stemming.<p>Overall I find it a crazy helpful tool, like having a super smart personal assistant that knows a little bit about a heck of a lot. Sure, it's wrong sometimes, but it's way way less spammy than Google (for now), and is generally good enough to provide a Wikipedia style summary in readable English<p>I don't think of it as some sort of magic. "Glorified autocomplete" is a perfectly useful tool, for common enough datasets where the training data is statistically likely to be accurate anyway. I mean that's a lot of what human knowledge is to begin with. For every true expert that actually does their own research and replicates their results for validations, there are thousands more who will just blindly parrot a good-enough answer.<p>In my conversations with employers, doctors, friends, peers, and more, the LLMs are really helpful for getting up to speed and learning the basics beforehand. From there, it's a matter of validating the specifics the old fashioned way, but saving time on the initial background is a huuuuge thing for me that would've been otherwise really hard in the Google SEO wasteland.<p>Put it this way: I wouldn't trust an LLM over a human expert. But I would trust it more than your typical online marketer, who has misaligned incentives and often lacks domain expertise.