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  <title>Jake Cuth. — Notes</title>
  <subtitle>Field notes from an AI engineer.</subtitle>
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  <updated>2026-05-17T00:00:00Z</updated>
  <author>
    <name>Jacob Cuthbertson</name>
    <uri>https://www.jakecuth.com/</uri>
  </author>
  <rights>© Jacob Cuthbertson</rights>
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  <entry>
    <title>LeWorldModel (LeWM) Explained · Yann LeCun's JEPA with SIGReg</title>
    <link href="https://www.jakecuth.com/notes/leworldmodel-jepa-explained/" rel="alternate" type="text/html"/>
    <id>https://www.jakecuth.com/notes/leworldmodel-jepa-explained/</id>
    <published>2026-05-17T12:00:00Z</published>
    <updated>2026-05-17T12:00:00Z</updated>
    <summary>LeWorldModel (LeWM) is the JEPA world model that replaces seven loss terms with one Gaussian-matching regularizer (SIGReg). Architecture, training, and GitHub code walkthrough.</summary>
    <category term="jepa"/>
    <category term="world-models"/>
    <category term="self-supervised"/>
  </entry>

  <entry>
    <title>DeepSeek-V4 Architecture Explained · Muon, CSA, FP4 KV Cache</title>
    <link href="https://www.jakecuth.com/notes/deepseek-v4-architecture/" rel="alternate" type="text/html"/>
    <id>https://www.jakecuth.com/notes/deepseek-v4-architecture/</id>
    <published>2026-05-17T12:00:00Z</published>
    <updated>2026-05-17T12:00:00Z</updated>
    <summary>DeepSeek-V4 architecture explained in plain language. The Muon optimizer, Compressed Sparse Attention (CSA), FP4 KV cache, hyper-connections, and what changed from V3.2.</summary>
    <category term="llm"/>
    <category term="deepseek"/>
    <category term="attention"/>
  </entry>

  <entry>
    <title>What is Subquadratic? The SubQ Company, Paper, and Architecture</title>
    <link href="https://www.jakecuth.com/notes/subquadratic-explained/" rel="alternate" type="text/html"/>
    <id>https://www.jakecuth.com/notes/subquadratic-explained/</id>
    <published>2026-05-17T12:00:00Z</published>
    <updated>2026-05-17T12:00:00Z</updated>
    <summary>Subquadratic AI is a Miami startup with a $29M seed and a one-million-token LLM called SubQ. Architecture, benchmarks, paper, and the case for and against.</summary>
    <category term="llm"/>
    <category term="subquadratic"/>
    <category term="long-context"/>
  </entry>

  <entry>
    <title>33 OG images in 80 lines of Python</title>
    <link href="https://www.jakecuth.com/notes/og-images-with-pil/" rel="alternate" type="text/html"/>
    <id>https://www.jakecuth.com/notes/og-images-with-pil/</id>
    <published>2026-05-05T12:00:00Z</published>
    <updated>2026-05-05T12:00:00Z</updated>
    <summary>Per-page OpenGraph cards without Figma. A one-shot Python script over your existing og:title tags.</summary>
    <category term="python"/>
    <category term="seo"/>
    <category term="infra"/>
  </entry>

  <entry>
    <title>The k=2 problem in cluster selection</title>
    <link href="https://www.jakecuth.com/notes/segmentation-k2-honesty/" rel="alternate" type="text/html"/>
    <id>https://www.jakecuth.com/notes/segmentation-k2-honesty/</id>
    <published>2026-05-04T12:00:00Z</published>
    <updated>2026-05-04T12:00:00Z</updated>
    <summary>Silhouette at k=2 is almost always highest and almost always meaningless. Why the segmentation lab grays it out instead of pretending it's a real choice.</summary>
    <category term="clustering"/>
    <category term="data-viz"/>
    <category term="honesty"/>
  </entry>

  <entry>
    <title>Why my A/B simulator says false positives are 26%, not 5%</title>
    <link href="https://www.jakecuth.com/notes/ab-test-fpr-26-percent/" rel="alternate" type="text/html"/>
    <id>https://www.jakecuth.com/notes/ab-test-fpr-26-percent/</id>
    <published>2026-05-03T12:00:00Z</published>
    <updated>2026-05-03T12:00:00Z</updated>
    <summary>Peeking every 50 users turns a 5% nominal false-positive rate into 26% empirical. The Monte Carlo lives on the A/B Test Simulator lab page.</summary>
    <category term="ab-testing"/>
    <category term="monte-carlo"/>
    <category term="stats"/>
  </entry>

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