I'm a software engineer. In my own time I do machine-learning research, mostly because I don't believe what we currently call intelligence is intelligence. It's artificial intuition: pattern-matching against the known, and it runs out right where problems get interesting. What's left past that point is search.

Most of my work circles that gap. This is a working record of it: what I'm building, what I'm reading, and what I've been wrong about.