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Ten years ago I landed in Boston from India in the middle of winter, knowing almost no one. A first blizzard, empty grocery shelves, learning a city that moves around the Patriots and the Celtics and the Red Sox, a landlady who scammed me out of my deposi

Watching tokens stream onto the screen feels like magic the same way a dial-up handshake once did. This is the 56k era of intelligence, and the real change won't be doing today's AI faster, it'll be everything we invent once the waiting disappears.

Part 3 of my Home Assistant journey: a stubborn BanlanX LED controller that only spoke a phone-app dialect, a Mac that already had the Bluetooth radio I needed, and 150 lines of Python that taught Home Assistant to talk to it over MQTT.

I started with a question about how LLMs develop their personalities and ended up four months later in cell biology, evolutionary theory, and neuroscience. The pattern that connects them is layered development under sequential pressure. The thing humans h

A speculative letter from 2040. Trees running computation, mortality as a choice, novelty as currency, and the quiet moment when humanity realized the universe had been waiting.

I run several side projects and my data lives in six different places. Nothing stitches it together without a cloud warehouse or a Docker stack. So I'm building Ridgeline: a single Go binary that extracts from everywhere, writes Parquet, and queries with

How I manage Home Assistant entirely through Claude Code: SSH access, two CLI tools wrapping the REST and WebSocket APIs, and a CLAUDE.md that teaches it my specific setup.

A $21 ESP32 touchscreen, ESPHome's LVGL that refused to calibrate, and openHASP as the rescue. A weekend project that wasn't, and what I learned about running resistive-touch panels on Home Assistant.

Getting started with Mistral 7B via llama.cpp on Apple Silicon: cloning the repo, downloading a quantized model, running the local server, and understanding the generation parameters.