Summary of Ilya Sutskevers AI Reading List

Learn everything you need to know about AI in 15 minutes. Well, maybe not quite everything but it might get you started. This post on Tensor Labbet condenses 27 papers articles and books (~300,000 words) into quick digestible reads.

The original reading list was compiled from a twitter thread citing OpenAI founder Ilya Sutskevers:

Screenshot 2024 09 30 at 4 08 49 PM

While the list is fragmentary and much has happened in the field since, this endorsement and the claim that it was part of onboarding at OpenAI quickly made it go somewhat viral.

At about 300,000 words total, the combined content nonetheless corresponds to around one thousand book pages of dense, technical text and requires a decent investment in time and energy for self-study. After doing just that, I therefore dedicate this blog post to all those of us who provisionally bookmarked it (“for later”) and are still curious. What follows is my own condensed and structured summary with about 120 words per item, free of mathematical notation, to capture the essential key points, context and some perspective gained from reading it with the surrounding literature.

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