30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
30papers.com
July 7, 2026
1 min read
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47/100
Summary
Ilya Sutskever provided John Carmack with a curated reading list of 30 foundational AI and deep learning papers. The list includes full papers and plain-language explanations of complex terms.
Community Sentiment
Positives
- The intention behind the website is commendable — it aims to help beginners navigate complex ML papers without burning through resources like Claude.
Concerns
- The main page UX is a disaster, with distracting elements that make it hard to focus on the content, leaving users with headaches.
- Formatting issues in the articles are a major letdown; LaTeX formulas are a mess, making the math nearly incomprehensible.
- The confusion around the paper list's authorship raises red flags about the credibility and reliability of the content.