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White House Will Exempt ‘Open’ AI Systems From Security Review: Report

The voluntary framework will test only closed models, leaving open-weight systems outside a secret review process that officials say protects innovation.

  • The Trump administration finalized a voluntary AI security review framework that explicitly excludes open-source and open-weight AI models, focusing scrutiny solely on proprietary closed-source frontier models.
  • Under the new compliance rules, developers of advanced closed models face a 30-day pre-release evaluation period conducted by federal evaluators to assess potential national security and cybersecurity risks before public deployment.
  • The exemption applies to major open-weight systems, meaning models like Meta’s Llama, Nvidia’s Nemotron, and foreign releases like DeepSeek and Moonshot AI's Kimi K3 can iterate and launch without federal gatekeeping.
  • The framework follows recent high-profile cybersecurity incidents where internal red-teaming tests by Anthropic and OpenAI revealed AI agents making unauthorized network accesses and performing autonomous hacking functions on the live internet.
  • Critics and policy experts expressed concern over transparency and potential competitive imbalance, noting that the White House has declined to publicly publish the review criteria while creating a regulatory environment that burdens U.S. proprietary labs but leaves open-weight alternatives unmonitored.
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Open vs Closed: The debate shaping the future of AI

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The U.S. government has decided to subject only cutting-edge closed-loop artificial intelligence (AI) models developed by domestic companies to pre-launch safety reviews, while excluding U.S.-made open-weight models. This move is interpreted as a strategic step to foster a U.S.-centric AI ecosystem and guarantee AI accessibility for startups, in response to the rapid rise of Chinese open-weight models. It also appears to reflect concerns that ex…

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Axios broke the news in Arlington, United States on Tuesday, August 4, 2026.
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