This is (exactly) why I very strongly tell people not to teach themselves with an LLM. Particularly from the ground up. If you do not understand the domain, you cannot learn from the model because you won't know what questions to ask and it certainly isn't going to answer all of them for you.
replyYou can ask the LLM to connect the dots to the sources before displaying it to you so you can see the proof in line.
replyYou can ask the LLM how to do this. Start with a topic you know well to get the mechanism working and trust it well.
Of course, and that is what I do, but it becomes and additional mental and time consuming effort. As an dumb example, if I am learning a new programming language and trying to grasp some concept, I'll check the docs, find the section and read it. I trust that the source in the docs has been already vetted by other devs and the authors. But if I ask the AI the same thing, I then need to verify it's claims usually by asking it to check if the info is true, and then possibly opening the source link (lucky for me Claude provides the links in the desktop app as footnotes). It's not a question about AI, it's about the trust I have of this tool, it builds over time, but as soon as the AI makes an assumption or a hallucination we are back down to square one.
replyI assume this will become less of an issue in the future as there is more trust between the AI tools and me.