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      <title>Yiuno</title>
      <link>https://yiuno.org</link>
      <description>Last 10 notes on Yiuno</description>
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    <title>Yiuno</title>
    <link>https://yiuno.org/</link>
    <guid>https://yiuno.org/</guid>
    <description><![CDATA[ Learn to build with AI — with understanding, not just output ]]></description>
    <pubDate>Sun, 05 Apr 2026 22:50:55 GMT</pubDate>
  </item><item>
    <title>signal-flow-philosophy</title>
    <link>https://yiuno.org/learn/concepts/assets/signal-flow-philosophy</link>
    <guid>https://yiuno.org/learn/concepts/assets/signal-flow-philosophy</guid>
    <description><![CDATA[ Signal Flow A design philosophy for mapping invisible conversations between systems. ]]></description>
    <pubDate>Sun, 05 Apr 2026 22:50:55 GMT</pubDate>
  </item><item>
    <title>Learn</title>
    <link>https://yiuno.org/learn/</link>
    <guid>https://yiuno.org/learn/</guid>
    <description><![CDATA[ A knowledge system for learning by building with AI ]]></description>
    <pubDate>Sun, 05 Apr 2026 22:50:55 GMT</pubDate>
  </item><item>
    <title>Agent Templates</title>
    <link>https://yiuno.org/templates/</link>
    <guid>https://yiuno.org/templates/</guid>
    <description><![CDATA[ Downloadable AI-assisted vault templates for grassroots organisations ]]></description>
    <pubDate>Sun, 05 Apr 2026 22:50:55 GMT</pubDate>
  </item><item>
    <title>Showcase: Running a Community Campaign</title>
    <link>https://yiuno.org/templates/showcase-community-campaign</link>
    <guid>https://yiuno.org/templates/showcase-community-campaign</guid>
    <description><![CDATA[ How a neighbourhood group used the base vault template to organise a housing campaign with AI assistance ]]></description>
    <pubDate>Sun, 05 Apr 2026 22:50:55 GMT</pubDate>
  </item><item>
    <title>Agent Memory</title>
    <link>https://yiuno.org/learn/concepts/ai-and-machine-learning/agent-memory</link>
    <guid>https://yiuno.org/learn/concepts/ai-and-machine-learning/agent-memory</guid>
    <description><![CDATA[ Agent Memory How AI agents remember information across conversation turns and sessions — the architectural systems that give stateless language models the ability to retain and recall context. ]]></description>
    <pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Autonomy Spectrum</title>
    <link>https://yiuno.org/learn/concepts/ai-and-machine-learning/autonomy-spectrum</link>
    <guid>https://yiuno.org/learn/concepts/ai-and-machine-learning/autonomy-spectrum</guid>
    <description><![CDATA[ Autonomy Spectrum A framework for classifying AI systems by how much they can do on their own — from simple chatbots that only respond when asked, to autonomous agents that plan and act independently. ]]></description>
    <pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Dynamic Load Shifting</title>
    <link>https://yiuno.org/learn/concepts/ai-and-machine-learning/dynamic-load-shifting</link>
    <guid>https://yiuno.org/learn/concepts/ai-and-machine-learning/dynamic-load-shifting</guid>
    <description><![CDATA[ Dynamic Load Shifting The principle of continuously redistributing work between AI and humans within a workflow, based on task characteristics, confidence levels, and human availability — so AI handles bulk routine work and humans concentrate their effort where judgement matters most. ]]></description>
    <pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Embeddings</title>
    <link>https://yiuno.org/learn/concepts/ai-and-machine-learning/embeddings</link>
    <guid>https://yiuno.org/learn/concepts/ai-and-machine-learning/embeddings</guid>
    <description><![CDATA[ Embeddings Numerical representations of text, images, or audio as lists of numbers (vectors) in high-dimensional space, where similar meanings are placed close together and different meanings are placed far apart. ]]></description>
    <pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Evaluator-Optimiser</title>
    <link>https://yiuno.org/learn/concepts/ai-and-machine-learning/evaluator-optimiser</link>
    <guid>https://yiuno.org/learn/concepts/ai-and-machine-learning/evaluator-optimiser</guid>
    <description><![CDATA[ Evaluator-Optimiser A pipeline pattern where one LLM generates output, another evaluates it against quality criteria, and the generator revises until the output passes or an iteration limit is reached. ]]></description>
    <pubDate>Sun, 05 Apr 2026 00:00:00 GMT</pubDate>
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