开源 AI 差距地图Open Source AI Gap Map
Current AI 作为一个拥有 4 亿美元资金支持的非营利组织，近期发布了开源 AI 差距地图（Gap Map）。该地图旨在全面索引当前开源人工智能生态的发展现状与缺失环节。它揭示了开源社区在构建公共 AI 选项时所面临的关键空白。这为未来资源分配和技术攻坚提供了清晰的路线图。
Simon Willison
3rd July 2026 - Link Blog
Open Source AI Gap Map. Current AI is "a global partnership building a public option for AI", founded as a non-profit at the AI Action Summit in Paris in February 2025 and backed by serious capital ($400m already committed).
They launched their Gap Map a couple of days ago - an attempt at indexing the current state of open source AI:
The Gap Map v0.1 details 421 products in depth: 266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects, produced by 228 organizations. These products are organized into 14 categories across 3 layers of the stack (model components, product / UX, and infrastructure). The remaining 24,400 artifacts constitute the uncategorized long tail of the open source AI ecosystem, and will carry no score until they are researched and cited.
The map itself is interesting to explore, but I'm more excited about the underlying data - released under an MIT license in the currentai-org/os-ai-map GitHub account: 1,184 YAML files plus the notebooks, schemas and other scripts used to help gather them.
Since the files are on GitHub you can use Datasette Lite to explore some of them - here are 16,185 GitHub repos the project is tracking as a CSV file loaded into Datasette Lite.
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