Since I'm working in history and philosophy of science (HPS) and I'm trying to build my HPS model of alignment, in particular, I think it'd be good to read a book or two on the history of machine learning. 

If you know of a good one, please share. Thanks! 

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There isn't really a good book on recent ML (e.g. post GPT-3), but here's a few resources that cover older periods:

Thank you Lawrence!