Simon Willison's Weblog

Open Source AI Gap Map

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TL;DR · AI 摘要

开源AI领域首个系统性资源图谱发布,覆盖421个产品与2.4万个项目,数据已开源并支持交互式探索。

核心要点

  • AI Gap Map收录266个软件工具和85个模型,按三层架构分类
  • 项目数据已开源至GitHub并采用MIT许可证
  • 通过Datasette Lite可交互查询16,185个GitHub仓库

结构提纲

按章节快速跳转。

  1. 介绍Current AI非营利组织及其4000万美元资金支持的Gap Map项目

  2. 统计显示项目已收录421个深度产品及24,400个未分类项目

  3. 采用三层架构分类法(模型组件/产品/基础设施)组织228家机构产出

  4. 所有数据通过MIT许可证GitHub开源,包含1,184个YAML文件

思维导图

用一张图看清主题之间的关系。

查看大纲文本(无障碍 / 无 JS 友好)
  • 开源AI资源图谱
    • 项目概况
      • Current AI非营利组织
      • 4000万美元资金支持
    • 资源分类
      • 266软件工具
      • 85模型
      • 50数据集
    • 数据开放
      • MIT许可证
      • GitHub仓库
      • Datasette Lite查询

金句 / Highlights

值得收藏与分享的关键句。

#开源AI#数据地图#技术生态#AI工具
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Open Source AI Gap Map

Simon Willison’s Weblog

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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.

Posted

3rd July 2026

at 10:04 pm

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This is a link post by Simon Willison, posted on 3rd July 2026 .

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