Karpathy Public Work
This hub routes future agents to Karpathy’s public projects, writing, videos, gists, and curated short-form idea links.
How To Use This Hub
- Start with karpathy-project-taxonomy for project/category navigation.
- Use karpathy-idea-map for reusable ideas, heuristics, and teaching patterns.
- Use 2026-05-15-karpathy-public-corpus for source provenance, crawl policy, and public/private handling.
- Use per-item pages under
wiki/sources/karpathy-public/for source-specific metadata and summaries.
Current Corpus Counts
blog-rss-item: 10curated-status-link: 70github-gist: 13github-repository: 63personal-homepage: 1youtube-video: 15
Top GitHub Repositories By Stars At Crawl
- autoresearch - 81258 stars, Research automation / agentic science
- nanoGPT - 58127 stars, LLM training and inference systems
- nanochat - 53492 stars, LLM training and inference systems
- LLM101n - 36913 stars, LLM training and inference systems
- llm.c - 29911 stars, LLM training and inference systems
- minGPT - 24376 stars, LLM training and inference systems
- nn-zero-to-hero - 21842 stars, Neural network fundamentals
- llama2.c - 19506 stars, LLM training and inference systems
- llm-council - 18787 stars, Research automation / agentic science
- micrograd - 15849 stars, Neural network fundamentals
- char-rnn - 12034 stars, Neural network fundamentals
- convnetjs - 11160 stars, Neural network fundamentals
- minbpe - 10482 stars, LLM training and inference systems
- arxiv-sanity-preserver - 5681 stars, Research tooling and paper workflows
- neuraltalk2 - 5579 stars, Neural network fundamentals
- neuraltalk - 5488 stars, Neural network fundamentals
- build-nanogpt - 5009 stars, LLM training and inference systems
- ng-video-lecture - 4714 stars, LLM training and inference systems
- makemore - 3916 stars, Neural network fundamentals
- reader3 - 3622 stars, LLM training and inference systems
Maintenance Rule For Future Agents
- Re-crawl before making current claims about repository counts, stars, releases, or new posts.
- Do not rely on search snippets when an official source surface exists.
- Keep unlicensed full text/code out of public redistribution; use summaries, hashes, and links unless the source license permits more.
- Preserve Karpathy’s reusable heuristics as durable wiki synthesis rather than leaving them in chat.
Counterpoints And Gaps
- This corpus is broad and source-grounded, but public feeds do not guarantee a complete historical archive of every public statement.
- Curated status links are pointers, not a full text tweet mirror.
- Star counts, repository metadata, and public profile numbers are time-sensitive and require a fresh crawl before use in current claims.