A Chinese archive for important AI writing
AI Reading Commons collects important AI writing, Chinese reading notes, source trails, glossary entries and editorial queues for readers who want durable context beyond daily AI news.
What the archive is for
- Follow selected AI essays, papers, interviews and source materials.
- Read Chinese notes and glossary explanations for technical concepts.
- Build topic trails across models, agents, alignment, infrastructure and product work.
- Keep source files and editorial notes in plain, reviewable formats.
Reading responsibly
The archive is meant to preserve context and point back to original sources. Use original materials when citing or making decisions.