One usecase I could think of is weather patterns. Weather is very hard to predict so any info from the past could help us create better models. It would be incredibly tedious to collect that by hand from millions of documents but AI could do handle this quite well. A mix of text embeddings, and llm analysis could result in a data set for weather patterns in remote/ historic areas over time. Even if was as simple as a diary that said "today it rained a lot"
Wether there is enough info to reconstruct usable data is unknown to me but it feels like a good experiment someone could try.
Wether there is enough info to reconstruct usable data is unknown to me but it feels like a good experiment someone could try.