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    <title>Witnis Blog — Insights on Verifiable Communications</title>
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    <description>Reflections on verifiable communication, AI source integrity, and the changing conditions of public trust.</description>
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      <title>What Is Verifiable Communication?</title>
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      <pubDate>Thu, 09 Jul 2026 12:00:00 GMT</pubDate>
      <author>noreply@witnis.se (Matthew Davis)</author>
      <dc:creator><![CDATA[Matthew Davis]]></dc:creator>
      <category>Verifiable Communications</category>
      <category>Foundational</category>
      <category>Trust</category>
      <description><![CDATA[From wax seals to digital screenshots: why the old tools of trust depended on physical scarcity, and what it means to recover their function in an age where copying is effortless and context is fragile.]]></description>
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      <title>The Missing Layer in Disinformation Resilience: Why Organisations Need the Ability to Prove What They Actually Said</title>
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      <pubDate>Mon, 29 Jun 2026 12:00:00 GMT</pubDate>
      <author>noreply@witnis.se (Matthew Davis)</author>
      <dc:creator><![CDATA[Matthew Davis]]></dc:creator>
      <category>Verifiable Communications</category>
      <category>Disinformation</category>
      <category>AI</category>
      <description><![CDATA[From a hacked AP tweet that wiped $140 billion from the market, to deepfaked central bank governors, disinformation exploits the gap between what looks authoritative and what can be independently verified. A look at why proof-of-origin is becoming a necessary layer of institutional resilience.]]></description>
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      <title>The Frontier Fractures: Why AI Needs Something to Stand On</title>
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      <pubDate>Tue, 09 Jun 2026 12:00:00 GMT</pubDate>
      <author>noreply@witnis.se (Matthew Davis)</author>
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      <category>AI</category>
      <category>Verifiable Communications</category>
      <category>Research</category>
      <description><![CDATA[Five frontier AI models, asked the same fact-check, disagreed on 67% of real-world claims. A reflection on the Lenz Research findings — and why grounding model reasoning in verifiable sources changes the nature of the problem.]]></description>
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