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A Labor Day weekend backpacking trip from Granite Lake to Upper Velma Lake, with a new sleep setup and more food than we needed.
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We flew to Las Vegas, drove into southern Utah, and hiked around Zion, Escalante, and Bryce Canyon.
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When a coding agent makes a repeatable mistake, I try to keep the correction in the harness for the next run.
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My first week in San Francisco: paperwork, an unfurnished apartment, two cats, Bay Trail runs, and waiting for furniture.
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A browser-based load-flow solver and Mandelbrot explorer let me revisit power-system analysis, numerical precision, and the limits of small client-side tools.
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A concrete way to understand dropout in deep learning: sampled subnetworks with shared weights, standing in for a much more expensive ensemble.
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Notes on the 11-inch M3 iPad Air for reading, handwriting, and remote access without turning it into a laptop replacement.
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I replaced scattered responsive-image conventions in a Next.js static site with one generated manifest for variants, dimensions, and lookup during static rendering.
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A lightweight intake form, spreadsheet cleanup script, or dashboard mock can make an internal workflow concrete before it needs production engineering.
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Codex helps me make small site edits from my phone; Sora remains a way to test visual directions before I know whether they belong.
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Chapter 6 separates representational capacity, parameter efficiency, and learnability—and shows why depth changes scaling, not just expressiveness.
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Part I of Goodfellow, Bengio, and Courville works best as shared vocabulary for later chapters, with proof details still worth supplementing.
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My AI-assisted coding workflow now uses short briefs, plan reviews, checkpoints, and build/lint/test verification.
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How repo-backed Markdown becomes static HTML without a CMS, database, or runtime admin surface.