Not to define how LLMs can be used but for me the best case for History is different. Basically the idea is that since we're training LLMs on available data fro

Not to define how LLMs can be used but for me the best case for History is different. Basically the idea is that since we're training LLMs on available data from a time period, historians from the future will be able to understand nuances about culture in a way better way if they boot up an LLM trained in 2023 than any other way of querying records. Things like "what did people in 2023 think about X", "what were some 2023 fads", etc. Some of this can be deduced nowadays from historical records but I think this has the potential of allowing way deeper understanding. Also better than asking that from the 2623 LLM which will be polluted by whatever is the current culture then. Unfortunately it doesn't help us, only the future historians.