Maybe one of the various Github "Awesome XYZ" lists that exists out there. https://github.com/terryum/awesome-deep-learning-papers https://github.com/terryum/a

Maybe one of the various Github "Awesome XYZ" lists that exists out there. https://github.com/terryum/awesome-deep-learning-papers https://github.com/terryum/awesome-deep-learning-papers https://endymecy.github.io/awesome-deeplearning-resources/ https://endymecy.github.io/awesome-deeplearning-resources/ You might also track down the website for a DL class from a reputable university and mine the syllabus for a list of assigned readings. Do that for two or three such instances and you could probably come up with a pretty solid list. Or may just ask Carmack to share the list he was referring to? Does anybody know if he responds to Tweets / Twitter DM's, etc? EDIT: Also, check out https://paperswithcode.com/ https://paperswithcode.com/ EDIT 2: Also, not reading, but.. Andrej Karpathy has a Youtube channel now and has been putting up some videos on ML topics. Might be of interest? https://www.youtube.com/c/AndrejKarpathy https://www.youtube.com/c/AndrejKarpathy