Back and forths with the LLM are very useful when the person inquiring the LLM is invested in the conversation and wants to uncover the ground truth. Ultimately

Back and forths with the LLM are very useful when the person inquiring the LLM is invested in the conversation and wants to uncover the ground truth. Ultimately, some good result can come out of it because the person has a goal and LLM helps them reach that goal by uncovering the layers of knowledge which the person might not have. When the AI-generated content is presented to a person without any prior investment, it just looks incoherent. An especially great example are these Claude-generated explainer-type pages, which look really nice, even interactive, the information from the first sight looks really well presented. But somehow it all just doesn't make sense to a human. And I think it's because humans are processing information linearly and building an internal story about the information. One could argue that LLM's also consume information linearly but the way this information is processed is a kind of all-at-once approach. Just some speculation on my part but I have been trying to cope with this way information is presented because I am currently working at a place which is heavily documented by AI. And the only way for me to properly understand the documentation is by inquiring AI to help me.