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30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format

30 papers Â· The reading list Ilya Sutskever gave John Carmack

30papers.com

July 7, 2026

1 min read

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70/100

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.

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30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format ↗

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Community Sentiment

Negative

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.