
Trip to Southern Utah
OpenAI's mid-year break was a chance to fly to Las Vegas, drive into southern Utah, and hike around Zion, Escalante, and Bryce Canyon.
Software systems, AI tools, books, and experiments.

OpenAI's mid-year break was a chance to fly to Las Vegas, drive into southern Utah, and hike around Zion, Escalante, and Bryce Canyon.

My coding-agent sessions are more expensive now. The useful spend is the part that turns mistakes into better tests, graders, prompts, and checks.

My first week in San Francisco: paperwork, an unfurnished apartment, two cats, Bay Trail runs, and waiting for furniture.

Building frontend-only tools for load flow and Mandelbrot zooming gave me concrete ways to inspect older technical models.

A concrete way to understand dropout in deep learning: sampled subnetworks with shared weights, standing in for a much more expensive ensemble.

Notes on the 11-inch iPad Air M3 as a lightweight reading, annotation, and remote-workflow setup for studying.

I replaced scattered responsive-image conventions in a Next.js static site with one generated manifest for variants, dimensions, and runtime lookup.

A conversation with colleagues about lower-friction AI-assisted prototypes for small internal tools.

How Codex made small website edits easier to make from a phone, while Sora still feels more useful for exploratory visuals than finished work.

Goodfellow Chapter 6 sharpened how I separate representation, parameter efficiency, and optimization when thinking about deep feedforward networks.

Part I of Goodfellow, Bengio, and Courville works best as shared vocabulary for later chapters, with proof details still worth supplementing.

How my AI-assisted coding workflow shifted from quick snippets to clearer briefs, review checkpoints, and build/lint/test verification.

How I added a repo-backed Markdown blog to my static Next.js portfolio without adding a CMS or runtime admin surface.
Occasional updates when I publish something new.
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