Muse offers an early glimpse of a world in which an individual can turn an idea into action without waiting for a large institution or specialized team. Whether that world is empowering will depend on who controls the agent. Meta describes Muse as a personal AI agent that does more
AI will change work task by task. Whether that produces better jobs, fewer jobs, or more capable organizations depends on decisions that leaders still have to make. The reassuring line about artificial intelligence is that it replaces tasks, not jobs. A job is not one thing. It is a bundle
Three Raspberry Pis. A temperature sensor. A motion detector. A couple of LEDs. A small display. An MQTT broker in the middle and a local language model on the other side. That was the plan, anyway.
It's five in the morning. You wake up. You brush your teeth, iron something, throw clothes on, grab breakfast. You run out the door because the train is coming and you're already late. Train, ferry, another train. You sit down and work for eight hours. You
A hands-on reference from the iron-lab bench — how a breadboard, a GPIO extension board, and the Raspberry Pi's 40 pins actually fit together. Everything below is interactive: hover on desktop, tap on mobile. 1 · What a breadboard is, under the plastic Inside the plastic there are
I gave an autonomous agent commit access to a repository I care about, and told myself a human was in the loop. The agent runs at 3am on a cron in my homelab. Nobody watches it. It reads the code and the documentation, finds the places where they contradict each
I trusted the drive because the drive told me it was fine. Every diagnostic I ran came back clean. Zero percent wear. Full spare pool. No media errors. The SSD's own health check returned a single, confident word: PASSED. By every number the drive reported about itself, it
I lost an evening arguing with myself about Dyson spheres. It started with a piece by Jean-Stanislas Denain, a researcher at Epoch AI, on what he calls the missing half of AI futurism debates. His argument is simple and it stuck with me. We spend enormous energy asking how
I failed at solopreneurship once. Not the "learned some hard lessons" kind of failed. The quiet kind, where you shut it down and go back to full-time work and don't talk about it much. So when I saw that Workday, Anthropic, and LISC just launched
Small businesses don’t need AI hype. They need AI to make the work lighter. That’s the real gap. A recent Goldman Sachs small business survey found that 73% of small businesses would benefit from more AI training and implementation support. But the deeper story is more practical: * 50%
I assumed that when a founder owns both the AI lab and the company deploying it, adoption is a formality. A policy change at Tesla this month proved the opposite. Starting July 6, Tesla capped employee AI tool spending at $200 a week. The cap applies to Anthropic, OpenAI, and
I assumed the maker renaissance ran on its own track, insulated from the frontier AI story. The price of a Raspberry Pi proved it's downstream of the same demand. For the last few years I've watched two AI stories run on separate tracks. One is the