I wonder if we should go back to ontologies now. It should be fairly easy to have a LLM generate entries for any ontology. Then we need to check them for truth, obviously, but that can be parralized and potentially automated.<p>Say, I'd like an ontology of the current stock market focusing on the relationship between natural persons and public companies, board members, well-known analysts, investors and so on. This would be tedious for anyone to do, but should be fairly simple with a LLM.<p>Another task, maybe a little bit further into the future is categorizing open source intelligence. Think of oryxspioenkop.com and their famous lists of lost equipment in the Russian invasion of Ukraine. It's tedious and time-consuming but generates a valuable dataset. Here, image recognition would be necessary, but the principle is still the same, no?<p>Come to think of it, how does a company like TomTom generate map data nowadays?