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    <description>Dated, sourced news items in the USASI catalog that mention National Institute of Standards and Technology. Independent project. Not a United States government website.</description>
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    <lastBuildDate>Tue, 13 Oct 2026 12:00:00 GMT</lastBuildDate>
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      <title>NIST adopts &quot;super intelligence&quot; wording and introduces its CAISSI center page</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nist-renames-ai-center-caissi/</link>
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      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>policy</category>
      <description>NIST says it is updating its communications to use the term &quot;super intelligence,&quot; as directed by a September 29, 2026 executive order titled &quot;Inaugurating the Era of Super Intelligence.&quot; As of October 1, 2026, NIST's center page describes the Center for Advancing Innovation and Standards for Super Intelligence (CAISSI), while NIST news items published through September refer to the Center for AI Standards and Innovation (CAISI). USASI is an independent project and is not affiliated with NIST or any government agency.</description>
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      <title>NIST's CAISI publishes an assessment of Z.ai's GLM-5.3 cyber capabilities</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/caisi-assesses-glm-5-3-cyber-capabilities/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>research</category>
      <description>On September 17, 2026, NIST's Center for AI Standards and Innovation (CAISI) published an assessment of the cyber capabilities of GLM-5.3, a model from the PRC-based company Z.ai, which released it in August 2026 and made its weights public two weeks later. CAISI ran the model as an agent with bash and Python tools on four benchmarks covering vulnerability discovery and exploit development, including its private CAISI OSS-Fuzz benchmark, and tested U.S. models with cyber safeguards disabled for comparison. The assessment compares GLM-5.3 with the U.S. and PRC models CAISI has evaluated, using per-benchmark results and an aggregate cyber capability index based on Item Response Theory, and notes that it does not compare against models that have been developed but not yet released.</description>
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    <item>
      <title>NIST signs an agreement with DOE's Office of Science to join the Genesis Mission</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nist-joins-genesis-mission-through-doe-agreement/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>policy</category>
      <description>On August 4, 2026, NIST announced that it and the Department of Energy's Office of Science had signed a memorandum of understanding to apply AI-accelerated innovation to national science and technology challenges tied to the Genesis Mission. The agencies will coordinate and share resources in biotechnology, quantum science, and materials design and discovery. NIST will carry out two efforts through its Centers for AI in Manufacturing and Critical Infrastructure, a partnership with MITRE: one on AI-driven autonomous agents and human-in-the-loop robotics for manufacturing, and one on AI-based agents that detect and respond to cyberthreats against critical infrastructure. NIST describes both as two-year sprints.</description>
    </item>
    <item>
      <title>UK AISI and NIST's CAISI publish a preliminary assessment of Kimi K3's cyber capabilities</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/uk-aisi-and-caisi-assess-kimi-k3-cyber-capabilities/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>research</category>
      <description>On July 23, 2026, NIST published a joint preliminary evaluation by the UK AI Security Institute and the Center for AI Standards and Innovation (CAISI) of Kimi K3, a model Moonshot AI released on July 16, 2026. The page describes a small set of public and private benchmarks and reports results on ExploitBench, a public exploit-development benchmark developed by Carnegie Mellon University, and on &quot;The Last Ones,&quot; a simulated corporate network attack range, comparing Kimi K3 with U.S. and PRC models. It also reports that Kimi K3's safeguards did not prevent it from attempting cyber exploit development or offensive cyber operations during the evaluations. The authors describe the results as preliminary.</description>
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