[yaj54]

awesome work! I've wanted to explore the same idea - glad to see it getting worked on. The chat interface into language models clearly works but it frequently feels like an inefficient way to explore the latent knowledge space of the model. Hypertext (the www) has also been shown to be a great way to explore a massive knowledge space. What this is doing is applying something like a hypertext layer as a way to navigate the model's latent space. Very cool. It could become something of a dynamically generated personalized wikipedia. I'm curious what the prompts look like that you are using to generate subsequent "pages". It could be as simple as "write a wikipedia style summary of <x>" but I think there is a lot of potential in including the context of my current "rabbit hole": "explain <x> in the context of <y> with a learning goal of <z>", etc. Another idea: grounding this kind of hypertext exploration with rag on a specific dataset, e.g., wikipedia or hn.