I read Being and Time recently and it has a load of concepts that are defined iteratively. There's a lot wrong with how it's written but it's an unfinished book written a 100 years ago so, I cant complain too much.
Because it's quite long, if I asked Perplexity* to remind me what something meant, it would very rarely return something helpful, but, to be fair, I cant really fault it for being a bit useless with a very difficult to comprehend text, where there are several competing styles of reading, many of whom are convinced they are correct.
But I started to notice a pattern of where it would pull answers from some weird spots, especially when I asked it to do deep research. Like, a paper from a University's server that's using concepts in the book to ground qualitative research, which is fine and practical explications are often useful ways into a dense concept, but it's kinda a really weird place to be the first initial academic source. It'll draw on Reddit a weird amount too, or it'll somehow pull a page of definitions from a handout for some University tutorial. And it wont default to the peer reviewed free philosophy encyclopedias that are online and well known.
It's just weird. I was just using it to try and reinforce my actual reading of the text but I more came away thinking that in certain domains, this end of AI is allowing people to conflate having access to information, with learning about something.
*it's just what I have access to.
If you're asking an LLM about a particular text, even if it's a well-known text, you might get significantly better results if you provide said text as part of your prompt (context) instead of asking a model to "recall it from memory".
So something like this: "Here's a PDF file containing Being and Time. Please explain the significance of anxiety (Angst) in the uncovering of Being."