A bar chart titled One weekend grading my local AI, by hand. My 3 real questions: 3 pass. 21 trick questions, traps and unknowns: 17 pass, 4 partial, 0 fail. Invented claims: 0 in the 3 real questions, 1 in the 21 trick questions.

Don't Worry About the Terminator. Worry About David.

BLUF (bottom line up front): I’m just starting too. My data has lived in my Obsidian vault, my 2nd brain, for a while, but the practices around it were fragmented. They’re now coming together as a whole, and that whole complements, and at times runs ahead of, what I focus on at work: observability, accountability, governance and ownership. My rule for all of it: if you can’t see it, you can’t observe it; if you can’t observe it, you can’t measure it; if you can’t measure it, you can’t improve on it; and if you can’t improve on it, you get left behind. Qui non proficit deficit. This post is that rule applied to AI: worry less about the Terminator and more about what we teach the machines, share the responsibility with the labs, and own your data. ...

October 4, 2026 · 11 min · Fabian Williams
A view from a front window: a man walking up the path toward the door holding a bag and a bottle, boxed on device with a green person label, with his vehicle boxed and a blue vehicle label, and a caption reading Limen local VLM auto-label on-device no cloud

Limen: I Put a Camera at My Window and Asked Who Owns What It Sees

This week is Fix, Hack, Learn (FHL) at work (Microsoft), our internal week to chase a build we care about. Last FHL I worked on my agents and agentic loops, helping me scale myself and my work as a product manager. This time my project is personal, and it starts with a question I could not stop turning over: when a camera watches the front of my house, who owns what it sees? ...

September 14, 2026 · 9 min · Fabian Williams