<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="feed.xsl"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>fieldnotes</title>
    <link>https://evoclock.github.io/fieldnotes/</link>
    <description>Writing and evidence: agent systems, models, evaluation and computational biology.</description>
    <language>en-GB</language>
    <lastBuildDate>Fri, 23 Oct 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://evoclock.github.io/fieldnotes/feed.xml" rel="self" type="application/rss+xml"/>
    <item>
      <title>60% of the time, it works every time</title>
      <link>https://evoclock.github.io/fieldnotes/articles/60-percent-of-the-time-it-works-every-time.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/articles/60-percent-of-the-time-it-works-every-time.html</guid>
      <pubDate>Fri, 23 Oct 2026 00:00:00 +0000</pubDate>
      <description>Is published research data ready to train models? I revisit four circadian ChIP-seq studies and what their raw data can support under consistent reanalysis.</description>
      <category>comp-bio</category>
      <category>evaluation</category>
    </item>
    <item>
      <title>Is fast decoding the be all and end all?</title>
      <link>https://evoclock.github.io/fieldnotes/articles/is-fast-decoding-the-be-all-and-end-all.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/articles/is-fast-decoding-the-be-all-and-end-all.html</guid>
      <pubDate>Fri, 09 Oct 2026 00:00:00 +0000</pubDate>
      <description>Four serving recipes for GLM-5.3-Flash on two DGX Sparks. The recipe that answers fastest is not the one that generates fastest, and none of the four escapes the constraints that matter for real agent work.</description>
      <category>models</category>
      <category>evaluation</category>
    </item>
    <item>
      <title>Dispatching a Multi-Model Workforce from Anywhere</title>
      <link>https://evoclock.github.io/fieldnotes/articles/herdr-natural-language-agent-automation.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/articles/herdr-natural-language-agent-automation.html</guid>
      <pubDate>Sat, 05 Sep 2026 00:00:00 +0000</pubDate>
      <description>How the Agentic Driver extension set uses Herdr and Pi to route tasks by role, model and machine—and keep persistent sessions within reach from a laptop, phone or remote terminal.</description>
      <category>agent-systems</category>
    </item>
    <item>
      <title>Wrangling Qwen&#x27;s Long Thinking Runs</title>
      <link>https://evoclock.github.io/fieldnotes/articles/wrangling-qwens-long-thinking-runs.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/articles/wrangling-qwens-long-thinking-runs.html</guid>
      <pubDate>Wed, 26 Aug 2026 00:00:00 +0000</pubDate>
      <description>How I manage Qwen&#x27;s tendency to go off on a long reasoning run, why completion limits are not enough, and where quantisation creates a second serving problem.</description>
      <category>models</category>
      <category>agent-systems</category>
    </item>
    <item>
      <title>And the Simpsons Already Did It</title>
      <link>https://evoclock.github.io/fieldnotes/articles/primitives-were-already-there.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/articles/primitives-were-already-there.html</guid>
      <pubDate>Fri, 21 Aug 2026 00:00:00 +0000</pubDate>
      <description>Why AI infrastructure keeps rediscovering established primitives, and how to distinguish useful standardisation from inflated novelty claims.</description>
      <category>agent-systems</category>
    </item>
    <item>
      <title>Circadian ChIP-seq reproducibility audit</title>
      <link>https://evoclock.github.io/fieldnotes/compbio/circadian-chipseq-audit.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/compbio/circadian-chipseq-audit.html</guid>
      <pubDate>Sun, 09 Aug 2026 00:00:00 +0000</pubDate>
      <description>A method reconstruction, sensitivity analysis and local ENCODE-equivalent comparison for public mouse liver circadian factor ChIP-seq. No tested condition reproduced both the deposited peak counts and the peak sets.</description>
      <category>comp-bio</category>
      <category>evaluation</category>
    </item>
    <item>
      <title>Which local model is right for the job?</title>
      <link>https://evoclock.github.io/fieldnotes/notes/seat-benchmarking.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/notes/seat-benchmarking.html</guid>
      <pubDate>Sun, 09 Aug 2026 00:00:00 +0000</pubDate>
      <description>Choosing a model for a specific job, and deciding what to change when it fails.</description>
      <category>evaluation</category>
    </item>
    <item>
      <title>Where should an agent keep its memory?</title>
      <link>https://evoclock.github.io/fieldnotes/notes/memory-management.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/notes/memory-management.html</guid>
      <pubDate>Sun, 09 Aug 2026 00:00:00 +0000</pubDate>
      <description>Model state, session history and external retrieval belong to different parts of the agent system.</description>
      <category>agent-systems</category>
    </item>
    <item>
      <title>Is cooling part of the inference budget?</title>
      <link>https://evoclock.github.io/fieldnotes/notes/watts-per-token.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/notes/watts-per-token.html</guid>
      <pubDate>Sun, 09 Aug 2026 00:00:00 +0000</pubDate>
      <description>A 6.6 W fan, a 35 W desk fan, and the cost of keeping a model running.</description>
      <category>evaluation</category>
    </item>
    <item>
      <title>Why I started building a local model workforce</title>
      <link>https://evoclock.github.io/fieldnotes/articles/local-multi-model-workforce.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/articles/local-multi-model-workforce.html</guid>
      <pubDate>Thu, 30 Jul 2026 00:00:00 +0000</pubDate>
      <description>From finishing my PhD to keeping knowledge, model choice and authority in my own systems.</description>
      <category>agent-systems</category>
    </item>
    <item>
      <title>Teaching a 4B model how I work</title>
      <link>https://evoclock.github.io/fieldnotes/publications/project-brief.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/publications/project-brief.html</guid>
      <pubDate>Wed, 29 Jul 2026 00:00:00 +0000</pubDate>
      <description>The project brief: a task-bound Implementer, what it learned, and what the coding tests showed.</description>
      <category>models</category>
    </item>
    <item>
      <title>Teaching a 4B model how I work: the technical report</title>
      <link>https://evoclock.github.io/fieldnotes/publications/technical-report.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/publications/technical-report.html</guid>
      <pubDate>Mon, 27 Jul 2026 00:00:00 +0000</pubDate>
      <description>Two starting checkpoints, executable training evidence, and fifteen paired coding-retention runs.</description>
      <category>models</category>
      <category>evaluation</category>
    </item>
    <item>
      <title>Can a reasoning manual give your small models a capability uplift?</title>
      <link>https://evoclock.github.io/fieldnotes/evals/fable-run5-granite.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/evals/fable-run5-granite.html</guid>
      <pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate>
      <description>Run 5: a small-model signal on a storage-budget trap, with a same-length sham control.</description>
      <category>evaluation</category>
    </item>
    <item>
      <title>A better prompt is not a better model</title>
      <link>https://evoclock.github.io/fieldnotes/evals/cruxeval-o-ab-184.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/evals/cruxeval-o-ab-184.html</guid>
      <pubDate>Fri, 10 Jul 2026 00:00:00 +0000</pubDate>
      <description>Seven local models, 184 output-prediction problems, and a prompt change that helped some and hurt others.</description>
      <category>evaluation</category>
      <category>models</category>
    </item>
    <item>
      <title>Does the reasoning manual help Qwen catch mistakes?</title>
      <link>https://evoclock.github.io/fieldnotes/evals/screen_eval_run4.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/evals/screen_eval_run4.html</guid>
      <pubDate>Wed, 08 Jul 2026 00:00:00 +0000</pubDate>
      <description>Run 4: Qwen created a little headroom during calibration, but all three arms passed the follow-up test.</description>
      <category>evaluation</category>
    </item>
    <item>
      <title>Can local models work out what Python code returns?</title>
      <link>https://evoclock.github.io/fieldnotes/evals/cruxeval-o-results.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/evals/cruxeval-o-results.html</guid>
      <pubDate>Wed, 08 Jul 2026 00:00:00 +0000</pubDate>
      <description>Seven models over 100 CRUXEval-O problems, with prompt, parser and infrastructure failures kept visible.</description>
      <category>evaluation</category>
      <category>models</category>
    </item>
    <item>
      <title>Does a reasoning manual improve how Anthropic&#x27;s Sonnet tackles error detection?</title>
      <link>https://evoclock.github.io/fieldnotes/evals/screen_eval.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/evals/screen_eval.html</guid>
      <pubDate>Tue, 07 Jul 2026 00:00:00 +0000</pubDate>
      <description>Sonnet 5, three prompt conditions, three difficulty levels and 27 responses: testing error detection separately from presentation.</description>
      <category>evaluation</category>
    </item>
    <item>
      <title>The reasoning manual changed the explanation, not the outcome</title>
      <link>https://evoclock.github.io/fieldnotes/evals/trap_eval.html</link>
      <guid isPermaLink="true">https://evoclock.github.io/fieldnotes/evals/trap_eval.html</guid>
      <pubDate>Tue, 07 Jul 2026 00:00:00 +0000</pubDate>
      <description>Run 2: holding the model constant separated presentation changes from trap detection.</description>
      <category>evaluation</category>
    </item>
  </channel>
</rss>
