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On July 23rd, the Trump Administration released an “AI Action Plan” with a stated goal of “winning the AI race.” It will serve as a blueprint for policy actions the administration will take to accelerate AI in the United States. While the plan covers a lot of topics unrelated to Open Source, it includes a specific section titled: “Encourage Open Source and Open Weight-AI.” It also recommends federal agencies work with academia and the broader research community to increase AI development, adoption, and evaluation. In this blog post, we explain the areas of the Plan that may impact the Open Source community and highlight recommendations to watch as the administration moves forward with implementation.

Plan Section: Encourage Open Source and Open Weight-AI

This section recommends stakeholder convenings to drive adoption of Open Source and open weight models by small and medium-sized businesses. The effort will be run by the National Telecommunications and Information Administration (NTIA) which ran the public comment period on open weight models under the Biden Administration. 

It also recommends expanding access to compute power and other resources (software, data, etc.) for academics and startups through the National AI Research Resource (NAIRR), currently a pilot project at the National Science Foundation with bipartisan congressional support. OSI has publicly supported the NAIRR through our joint public comments with the Open Forum for AI

Cross-section recommendations where Open Source/foundations could play a role or be implicated

Beyond the specific section on Open Source and Open Weight-AI, the Plan makes several other comments and recommendations the Open Source community should be aware of. Specifically, the Plan:

Some of the recommendations above will be implemented by the National Institute of Standards and Technology (NIST). OSI will track public comment opportunities and stakeholder engagement efforts and share them with the Open Source community. 

The Plan also includes a number of recommendations related to AI skill development and literacy. It remains to be seen how these recommendations will be implemented with a smaller U.S. Department of Education.

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