Current AI is a global public-private partnership focused on orchestrating the open source AI stack. We mapped the open source AI stack so we can collectively build what’s missing.
By nature, all AI systems are opaque and multidimensional. They become even more complex when thousands of developers from all over the world contribute unique projects across different layers. This is the current state of the open source AI stack: seriously robust, but fragmented, duplicative, and hard to see as a coherent whole.
The Gap Map is a living, actionable visualization of AI's open source landscape.
Building on work from leading open source AI experts at the Columbia Convening, the Model Openness Framework, Hugging Face, and others, it comes out of cumulative work to identify the points of highest leverage in the stack: where to build new, where to invest in capability, where to open up the tools. By creating an up-to-date visualization of the ecosystem where we can all see both the progress and the gaps, we can rally the community around a collective roadmap.
We intentionally don't compare closed versus open AI ecosystems, or point to where open source AI leads or lags. Instead, the Gap Map illustrates what's needed to build the system we want.
For details on how products are scored and categories assessed, see our methodology.
**We're looking for collaborators.** The Gap Map is an invitation for greater collaboration and coordination across the space, and this is the first step of a public, iterative effort. Want to be an editor? Add your tool? Suggest an improvement?