You can just spin up deep research agents that ingest many sources at once to produce reports that don't replicate any one source too much. Since agents compare

You can just spin up deep research agents that ingest many sources at once to produce reports that don't replicate any one source too much. Since agents compare against sources they provide across-source analysis - what is the distribution of positions on this topic, is it debated or settled. Not truth, just summarizing, but I think this would be very useful for training. Besides reporting on search sources you can also run the same queries on multiple LLMs closed book mode, and judge their distribution as well. It helps a lot if models are more aware of their knowledge holes. Scale it up for billions of topics if you have the pockets, the DR data is copyright free.