[lwneal]

This is a fine list, but it only covers a specific type of generative AI. Any set of resources about AI in general has to at least include the truly canonical Norvig & Russel textbook [1].

Probably also canonical are Goodfellow's Deep Learning [2], Koller & Friedman's PGMs [3], the Krizhevsky ImageNet paper [4], the original GAN [5], and arguably also the AlphaGo paper [6] and the Atari DQN paper [7].

[1] https://aima.cs.berkeley.edu/

[2] https://www.deeplearningbook.org/

[3] https://www.amazon.com/Probabilistic-Graphical-Models-Princi...

[4] https://proceedings.neurips.cc/paper_files/paper/2012/file/c...

[5] https://arxiv.org/abs/1406.2661

[6] https://www.nature.com/articles/nature16961

[7] https://www.nature.com/articles/nature14236

[bodecker]

As a recent addition, I've been impressed with Kevin P. Murphy's Probabilistic Machine Learning: An Introduction (2022)[1] and Advanced Topics (2023)[2].

[1] https://probml.github.io/pml-book/book1.html

[2] https://probml.github.io/pml-book/book2.html

[rajko_rad]

This is an excellent list of additions! We will try to include it shortly!

[hintymad]

The sad truth is that people nowadays can't even pass through a 15-minute podcast without checking out their Twitter feed multiple times. So, I'm not sure how many people would read through a 800-page textbook.

[javajosh]

I think you'll find that the "screen brain" effect dissipates after about 20 minutes of discomfort. I've noticed this effect with novels and text books.

Note that I don't think it's a great idea to just "read through" an 800 page text book even if you can - you've got to do exercises and check your own knowledge or else you will be spinning your wheels.

[mark_l_watson]

Well, there is a trick to reading a lot: don't live for the thrill of finally finishing a book or a paper. Instead enjoy the process of reading and understanding every paragraph.

[hintymad]

Not sure why this is down voted. If this is because my armchair stats are wrong, I'd be very happy to be wrong. Otherwise, I was not saying textbook is no good. I'm just speculating that many people couldn't not enjoy even an invaluable book.