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    <description>Chris Kambimbi is a Research Engineer at LibrAI, investigating vulnerabilities in large language models. Writing on AI safety, red teaming, and AI alignment.</description>
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      <title>Forty Open Problems in AI Safety</title>
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      <pubDate>Wed, 16 Sep 2026 00:00:00 GMT</pubDate>
      <author>Chris Kambimbi</author>
      <description>A 2026 update to Concrete Problems in AI Safety: forty open research problems, and the funders committed to them.</description>
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      <title>Continuous Red Teaming for AI Agents</title>
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      <pubDate>Tue, 15 Sep 2026 00:00:00 GMT</pubDate>
      <author>Chris Kambimbi</author>
      <description>Why safety testing must operate at the speed of AI agents.</description>
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      <title>DeepSeek V3.2: Reasoning-First Models Built for Agents</title>
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      <pubDate>Thu, 04 Dec 2025 00:00:00 GMT</pubDate>
      <author>Chris Kambimbi</author>
      <description>How an open-source release closed the gap with frontier models: sparse attention, large-scale RL post-training, and 1,827 synthesized agentic task environments.</description>
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      <title>Rejection</title>
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      <pubDate>Tue, 29 Oct 2024 00:00:00 GMT</pubDate>
      <author>Chris Kambimbi</author>
      <description>A short poem about a cold letter, and the resolve that follows it.</description>
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