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30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
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Overview
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.
Summary from 30papers.com.
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Hacker News · 30papers.com
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Based on 5 sampled comments from this thread. Analyzed 2026-07-07.
- Praise: The intention behind the website is commendable — it aims to help beginners navigate complex ML papers without burning through resources like Claude.
- Concern: The main page UX is a disaster, with distracting elements that make it hard to focus on the content, leaving users with headaches.
- Concern: Formatting issues in the articles are a major letdown; LaTeX formulas are a mess, making the math nearly incomprehensible.
- Concern: The confusion around the paper list's authorship raises red flags about the credibility and reliability of the content.