
Camping Indoors in San Francisco
My first week in San Francisco has mostly been logistics, empty rooms, cats, and the slow work of making enough space to focus.
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My first week in San Francisco has mostly been logistics, empty rooms, cats, and the slow work of making enough space to focus.
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Using a coding agent to build small browser tools turned out to be a good way to revisit concepts I had not touched in a while.
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A concrete way to understand dropout in deep learning: shared-parameter ensemble training that approximates bagging without training separate models.
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First impressions of the 11-inch iPad Air M3 as a lightweight reading, annotation, and note-taking setup for a study-heavy workflow.
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I replaced scattered responsive-image conventions with a manifest-driven workflow that made authoring simpler and failures easier to see.
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A conversation with colleagues made me think about what changes when the first version of a small tool gets cheaper.
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Reflections on how Codex, Sora, and other AI tools change the texture of small site edits, exploratory visuals, and creative judgment.
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Chapter 6 sharpened how I think about architecture as a structural assumption, not just a tuning choice.
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A short review of Part I of Goodfellow, Bengio, and Courville's Deep Learning textbook, focused on the mathematical foundations.
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How my AI coding workflow moved from quick snippets to clearer briefs, agent review checkpoints, and build/lint/test verification.
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How I added a fully static, markdown-based blog to my Next.js portfolio.
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