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    <description>Research notes on ontologies, AI agents, coding agents, self-improving models, and self-evolving agents. What the papers show, where it breaks, and what it takes to govern it.</description>
    <language>en-us</language>
    <lastBuildDate>Wed, 16 Sep 2026 00:00:00 GMT</lastBuildDate>
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      <title>Steering a run you are not watching</title>
      <link>https://oxagen.sh/blog/steering-a-run-you-are-not-watching</link>
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      <pubDate>Wed, 16 Sep 2026 00:00:00 GMT</pubDate>
      <description>When a long run goes wrong, most teams can kill it or argue with it. Both are bad. A steer is a third option: a message with a delivery mode, a status, and a record.</description>
      <category>Autonomous agents</category>
      <category>AI agents</category>
    </item>
    <item>
      <title>The agent time horizon is doubling</title>
      <link>https://oxagen.sh/blog/the-agent-time-horizon-is-doubling</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/the-agent-time-horizon-is-doubling</guid>
      <pubDate>Wed, 16 Sep 2026 00:00:00 GMT</pubDate>
      <description>METR measures how long a task an agent can finish on its own. That number has doubled roughly every seven months since 2019. What a week-long run does to supervision.</description>
      <category>Autonomous agents</category>
      <category>AI agents</category>
    </item>
    <item>
      <title>The problem is not slop, it is your process</title>
      <link>https://oxagen.sh/blog/the-problem-is-not-slop-it-is-your-process</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/the-problem-is-not-slop-it-is-your-process</guid>
      <pubDate>Wed, 16 Sep 2026 00:00:00 GMT</pubDate>
      <description>The worry about AI slop is about output quality. The measurements point somewhere else: at teams handing an agent a human workflow and expecting it to hold.</description>
      <category>Autonomous agents</category>
      <category>AI agents</category>
    </item>
    <item>
      <title>What an agent should be told before it starts</title>
      <link>https://oxagen.sh/blog/what-an-agent-should-be-told-before-it-starts</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/what-an-agent-should-be-told-before-it-starts</guid>
      <pubDate>Wed, 16 Sep 2026 00:00:00 GMT</pubDate>
      <description>A prompt is a bad container for a standing rule. It has no owner, no date, no scope, and no record that the agent read it. Context records fix the container.</description>
      <category>Autonomous agents</category>
      <category>AI agents</category>
    </item>
    <item>
      <title>A model cannot grade its own homework</title>
      <link>https://oxagen.sh/blog/the-limits-of-self-correction-and-model-collapse</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/the-limits-of-self-correction-and-model-collapse</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>Self-correction fails without external feedback, and training on your own output degrades the model. What the collapse and verifier research says you should do instead</description>
      <category>Self-improving models</category>
      <category>AI agents</category>
    </item>
    <item>
      <title>Deterministic Coding Agents: Every Turn on the Record</title>
      <link>https://oxagen.sh/blog/deterministic-coding-agents-every-turn-on-the-record</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/deterministic-coding-agents-every-turn-on-the-record</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>A coding agent changed your tree and nobody can replay how. What the research says about execution feedback, sampling variance, and turns you can audit</description>
      <category>Coding agents</category>
      <category>AI agents</category>
    </item>
    <item>
      <title>From STaR to DeepSeek-R1: what self-improvement actually means</title>
      <link>https://oxagen.sh/blog/self-improving-models-from-star-to-self-rewarding</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/self-improving-models-from-star-to-self-rewarding</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>A vendor says the model improves itself. Here is the research lineage behind that claim, what signal drives each loop, and the exact thing that stops it</description>
      <category>Self-improving models</category>
    </item>
    <item>
      <title>Governing an agent that rewrites itself</title>
      <link>https://oxagen.sh/blog/governing-an-agent-that-rewrites-itself</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/governing-an-agent-that-rewrites-itself</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>An agent that edits its own code needs a gate, not a hope. What the safety literature says about reward hacking, sandboxes, oversight, and typed contracts</description>
      <category>Self-evolving agents</category>
      <category>Ontologies</category>
    </item>
    <item>
      <title>Graph-Grounded Retrieval vs Vector Search</title>
      <link>https://oxagen.sh/blog/graph-grounded-retrieval-vs-vector-search</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/graph-grounded-retrieval-vs-vector-search</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>Dense retrieval finds the passage that looks right. Graph-grounded retrieval finds the fact that is right. What the research says about the difference</description>
      <category>Ontologies</category>
    </item>
    <item>
      <title>Self-evolving agents: what the evidence shows</title>
      <link>https://oxagen.sh/blog/self-evolving-agents-what-the-evidence-shows</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/self-evolving-agents-what-the-evidence-shows</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>What actually changes when an agent improves itself, what judges the change, and the measured gain, across eight systems from Voyager to AlphaEvolve</description>
      <category>Self-evolving agents</category>
      <category>AI agents</category>
    </item>
    <item>
      <title>The science of AI agents: from ReAct to tool use</title>
      <link>https://oxagen.sh/blog/the-science-of-ai-agents-from-react-to-tool-use</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/the-science-of-ai-agents-from-react-to-tool-use</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>Planning, tool use, memory, and reflection each came from a paper that measured something. Here is the research line, and what it still cannot do</description>
      <category>AI agents</category>
    </item>
    <item>
      <title>What an Ontology Buys an Agent</title>
      <link>https://oxagen.sh/blog/what-an-ontology-buys-an-agent</link>
      <guid isPermaLink="true">https://oxagen.sh/blog/what-an-ontology-buys-an-agent</guid>
      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>Agents fail confidently when they answer from the wrong context. Here is what classes, relations, constraints, and time-aware facts actually buy you</description>
      <category>Ontologies</category>
      <category>AI agents</category>
    </item>
    <item>
      <title>What SWE-bench Measures, and What It Misses</title>
      <link>https://oxagen.sh/blog/what-swe-bench-measures-and-what-it-misses</link>
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      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>SWE-bench turned coding agents into a leaderboard race. What a resolve rate proves, where test-based grading leaks, and what it cannot tell you</description>
      <category>Coding agents</category>
    </item>
    <item>
      <title>Why agents fail: measuring reliability and cost</title>
      <link>https://oxagen.sh/blog/why-agents-fail-measuring-reliability-and-cost</link>
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      <pubDate>Wed, 09 Sep 2026 00:00:00 GMT</pubDate>
      <description>AgentBench, WebArena, GAIA, SWE-bench, and tau-bench measure five different things, and none of them report what a run costs. What that hides</description>
      <category>AI agents</category>
      <category>Coding agents</category>
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