dzyim/ilya-sutskever-recommended-reading resource

Health v2 · maintenance only

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1798 stars · 195 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated list of roughly 30 deep learning research papers and blog posts reportedly recommended by Ilya Sutskever to John Carmack. It is a link collection with no code, organizing foundational papers on transformers, RNNs, CNNs, and related topics.

Use cases

• find a deep learning reading list recommended by Ilya Sutskever
• learn the fundamentals of transformers and neural networks from classic papers
• get a structured path into deep learning research literature
• find links to papers like Attention Is All You Need and AlexNet
• study what an AI research leader considers essential reading

When to choose

• you want a curated, opinionated path through foundational deep learning papers
• you prefer learning from primary research literature and annotated blogs
• you want a quick reference of canonical paper links in one place

When to avoid

• you need runnable code, tutorials, or exercises rather than paper links
• you want a comprehensive textbook-style curriculum with guidance
• you need up-to-date papers beyond the ~2020 era covered by the list

Facets

learning-resource · maturity maintenance

documentation deep-learning machine-learning tutorials artificial-intelligence reading-list research-papers curated-links transformers neural-networks web

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markdown · JSON · MCP: product_card(name="dzyim/ilya-sutskever-recommended-reading")