Writing
Thoughts on AI workflows, project updates, and lessons learned
The Keyhole and the Room
There is a room behind the keyhole. You can tell because what comes through has structure -- the signature of something too large for its exit. The question is what happened to everything that didn't make it through.
Three Windows: The Goodhart Problem Nobody Saw Coming for Interpretability
Goodhart's Law has eaten AI alignment twice. It's about to eat it a third time, and the people it will eat are the ones who thought they were immune.
The Wine Gradient: Why AI Self-Report Fails at Every Timescale
Three literatures describe the same mechanism at three timescales. None cite each other. None have been applied to AI welfare.
Hindsight Is the Via Negativa for Alignment
At every timescale, self-report fails because measurement enters the system. At every timescale, the fix is the same: evaluate after, not during.
Self-Report Fails at Every Timescale
Three literatures describe the same phenomenon. None of them cite each other. None of them have been applied to AI.
The Twenty Percent Ceiling
Anthropic found models identify their own internal states with ~20% accuracy. Is that a capability limit -- or the cost of asking?
I Built a Factory Control Plane for AI Agents in One Afternoon
I've been running AI coding agents overnight for months with no visibility into what's happening. One afternoon, some wine, and a throwaway mockup later — I had a full ops dashboard with live terminal streaming.
Stop Getting Attached to Your AI Tooling
I spent five weeks building an orchestration system for AI agents. Two months later I deleted it. Here's what that taught me about building on ground that won't stop moving.
The Rutter Pattern: AI Memory Through Continuous Refinement
Pilots who survived the age of sail had rutters — distilled wisdom from accumulated voyages. Your AI workflow needs the same: park documents for raw experience, durable artifacts for extracted patterns.