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!
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:
Chapter 1 of Goodfellow’s Deep Learning Textbook covers the history until 2015.
Schmidhuber’s Deep Learning in Neural Networks—I think this is fine for a history until 2014 if you discount all the self congratulation :) Yes, this is a paper, but it’s 88 pages long, so I think it counts!
Rosenfeld and Anderson’s Talking Nets covers the history of neural networks until ~2000!
Thank you Lawrence!