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    <title>Wenhao Chai — Blog</title>
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    <description>Essays, seminar notes, and slides by Wenhao Chai.</description>
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      <title>Introduction to Claude Code and Codex</title>
      <link>https://wenhaochai.com/blogs/intro-to-claude-code-and-codex.html</link>
      <guid>https://wenhaochai.com/blogs/intro-to-claude-code-and-codex.html</guid>
      <pubDate>Sat, 13 Sep 2025 12:00:00 GMT</pubDate>
      <description>A practical introduction to terminal coding agents: memory, permissions, custom commands, MCP, and how Claude Code and Codex complement each other.</description>
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      <title>ODE Perspective on Neural Networks</title>
      <link>https://wenhaochai.com/blogs/ode-perspective-on-neural-networks.html</link>
      <guid>https://wenhaochai.com/blogs/ode-perspective-on-neural-networks.html</guid>
      <pubDate>Sat, 26 Jul 2025 12:00:00 GMT</pubDate>
      <description>Neural networks as numerical discretizations of ODEs: Neural ODEs, ODE and OT Transformers, recurrent-depth models, and what the continuous-dynamics view buys us.</description>
    </item>
    <item>
      <title>View Transformer Layers from Online Optimization Perspective</title>
      <link>https://wenhaochai.com/blogs/transformer-layers-from-online-optimization.html</link>
      <guid>https://wenhaochai.com/blogs/transformer-layers-from-online-optimization.html</guid>
      <pubDate>Tue, 20 May 2025 12:00:00 GMT</pubDate>
      <description>From linear attention and fast weight programming to Test-Time Training and the Mesa layer: Transformer inference as online optimization over layers and time.</description>
    </item>
    <item>
      <title>What is the Intrinsic Dimension of Your Data?</title>
      <link>https://wenhaochai.com/blogs/intrinsic-dimension-of-your-data.html</link>
      <guid>https://wenhaochai.com/blogs/intrinsic-dimension-of-your-data.html</guid>
      <pubDate>Wed, 15 Jan 2025 12:00:00 GMT</pubDate>
      <description>ImageNet stores 150,528 pixels per image, yet fewer than 50 coordinates describe where the images actually live. How to estimate intrinsic dimension, and why it matters.</description>
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    <item>
      <title>Bridging the Parallel Decoding of LLMs with the Diffusion Process</title>
      <link>https://wenhaochai.com/blogs/bridging-parallel-decoding-with-diffusion.html</link>
      <guid>https://wenhaochai.com/blogs/bridging-parallel-decoding-with-diffusion.html</guid>
      <pubDate>Wed, 30 Oct 2024 12:00:00 GMT</pubDate>
      <description>Jacobi Decoding generates multiple tokens per step for autoregressive LLMs, and its iterations mirror a discrete diffusion process.</description>
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