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    <title>Dingal AI Research — Notes and reports</title>
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    <description>Dingal AI Research is a one-person research practice studying the evaluation and behaviour of AI systems, and publishing the methods openly.</description>
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      <title>A minimum reporting standard for AI evaluations</title>
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      <pubDate>Tue, 18 Aug 2026 00:00:00 GMT</pubDate>
      <category>Note</category>
      <description>A short proposal for the least an evaluation result has to disclose before it can be compared with another result or repeated by anyone else.</description>
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      <title>Failure compounds faster than per-step accuracy suggests</title>
      <link>https://dingal-ai-research.co.uk/notes/long-horizon-agent-reliability/</link>
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      <pubDate>Wed, 29 Jul 2026 00:00:00 GMT</pubDate>
      <category>Report</category>
      <description>Measuring how language-model agents fail over long tasks. Per-step accuracy barely separates the systems; end-to-end success separates them a lot.</description>
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      <title>The evaluation harness is now public</title>
      <link>https://dingal-ai-research.co.uk/notes/evaluation-harness-released/</link>
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      <pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate>
      <category>Release</category>
      <description>The code I use to run and record my own evaluations, released so the results here can be reproduced.</description>
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      <title>A year of interpretability work, and what held up</title>
      <link>https://dingal-ai-research.co.uk/notes/a-year-of-interpretability-work/</link>
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      <pubDate>Thu, 15 Jan 2026 00:00:00 GMT</pubDate>
      <category>Note</category>
      <description>Which methods for looking inside a model produced findings I would still defend, and which did not survive being checked.</description>
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      <title>Why this exists</title>
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      <pubDate>Mon, 02 Sep 2024 00:00:00 GMT</pubDate>
      <category>Note</category>
      <description>What this practice is for, what it will publish, and the things it will not do.</description>
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