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    <title>Modal Resonance Writing</title>
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    <description>Perspectives on AI systems, privacy, and evaluation from the Modal Resonance team.</description>
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      <title>Benchmarking Open-Source PII Detectors</title>
      <link>https://modalresonance.com/writing/pii-benchmark/</link>
      <description><![CDATA[We benchmarked three open-source PII detectors (Microsoft Presidio, GLiNER, and OpenAI's Privacy Filter) on detection accuracy and throughput across two datasets and six entity types. OPF leads out-of-the-box on a GPU, Presidio wins on CPU and pattern-rich entities, GLiNER is the most flexible to configure.]]></description>
      <pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate>
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      <author>Matteo Giomi, Omar Ali Fdal</author>
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      <title>Mapping Privacy Risk Across the AI Lifecycle</title>
      <link>https://modalresonance.com/writing/ai-lifecycle-risks/</link>
      <description><![CDATA[A structured breakdown of where privacy risk lives across the four phases of the AI lifecycle, and what genuinely changes with generative AI versus traditional ML.]]></description>
      <pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate>
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      <author>Omar Ali Fdal, Matteo Giomi</author>
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