Hey, the story behind this list is that John Carmack asked Ilya Sutskever for a reading list to get up to date with todays AI technology. Ilya gave him a list and said if he reads and understands those papers, he will understand 90% of what matters in modern deep learning.
I turned 22 of the papers into AI-narrated audio episodes. You can listen to the key insights of each paper, chapter by chapters (the others were books, courses or too long).
I found it a good starting point to get an initial overview. I still recommend to read the actual papers and articles though. From a learning perspective, I think its easier to parse the details of a paper when you already have a good idea of the content. At least this was my experience with lectures, when I read the slides before the lecture, it was easier to follow what the professor said.
Here is the list: https://listendock.com/30-papers
Top comments (1)
Thank you for sharing such an excellent post. I really enjoyed reading it.
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