Years ago there was an idea called "the semantic web": https://en.wikipedia.org/wiki/Semantic_Web

The basic idea was to have enough metadata about web sites so that you could get programs to do something approaching Prolog-style reasoning about the content and meaning of the web pages.

With more advanced LLMs it looks like a slightly different approach to achive something like the semantic web idea.

I think the idea is to constantly feed the model with updates from crawling the web and have the LLM "digest" the content, apply some filters to remove bad stuff, and then provide a meaningful result to whatever queries it might be asked.