There are examples of where LLMs are useful for information retrieval in that they can take vague queries and produce good summaries, but they're just as likely to produce reasonable-sounding nonsense that needs to be carefully verified.
I've also seen examples where LLMs can produce code that implements well-defined toy problems but when used on a real software system with millions of lines of context they do not produce code that can remain coherent with the system.
From what I've seen LLMs have yet to graduate from "impressive demo" and everyone characterizing them as being a revolution are still describing some potential future state with no real evidence that we'll get there with this technology or any time soon.
I think so much of the hype is about potential larger scale applications but the models just don’t seem reliable enough yet for that.
Bailey:" AI can replace your entire human labor (the most expensive cost of business) by scraping the content made by laborers on the internet without compensation"
Unfortunately, businesses are being sold the Bailey. And the sad part is that some companies aren't even pretending to hide behind the motte. I'm sure some, many businesses won't fall for the hype, but many others will and it will take a huge toll on the workers as a result.