Trump AI testing plan skips open models, lacks key definitions

The framework emerged from an executive order President Trump signed in June, which requested that AI companies share frontier models with the federal government before release to address cybersecurity concerns. However, the finalized version raises questions about its practical utility. By excluding open models entirely—and explicitly forbidding the framework to be used to restrict them after release—the administration has carved out a large segment of the AI ecosystem from oversight. Open models have grown in prominence and accessibility, so their exclusion limits the scope of the cybersecurity review to only proprietary systems.

The lack of clear definitions for "state-of-the-art" and "national security risk" introduces substantial ambiguity. A framework meant to guide companies toward compliance cannot do so effectively if the core terms remain undefined. This is especially problematic for smaller AI providers hoping to stay on the right side of the White House; without clear thresholds, they cannot confidently determine whether a model they plan to release will be subject to the 30-day review period. Frontier labs like OpenAI and Anthropic have been seeking government guidance partly because they want to avoid triggering restrictions, but the vague criteria make it harder for even large companies to navigate the rules.