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Open Source AI Gap Map: Indexing the Ecosystem

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Originally published on Simon Willison's Weblog by Simon Willison

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Open Source AI Gap Map: Indexing the Ecosystem

Summary & Key Takeaways ​

The "Gap Map" is a new initiative by Current AI, a non-profit, to index the open-source AI ecosystem. Version 0.1 details 421 products: 266 software tools, 85 models, 50 datasets, and 20 hardware projects. These products are organized into 14 categories across three layers of the AI stack. The project tracks 24,400 additional uncategorized artifacts. The underlying data is released under an MIT license on GitHub. The data includes 1,184 YAML files, notebooks, schemas, and scripts. Datasette Lite can be used to explore the tracked GitHub repositories.

Our Commentary ​

This is exactly the kind of structured resource we need in the chaotic open-source AI space. I'm genuinely excited about the MIT-licensed data. It feels like a foundational piece for future analysis and development. We've been drowning in individual projects; a map like this helps us see the forest.

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