Signals #002: The Frame vs. The Framer (opens in new tab)

Introduction There’s a story we keep telling ourselves about AI: that it’s racing to catch up with us, that any day now it will cross some threshold and we’ll be obsolete. But this story confuses the frame with the framer. When a model scores 85% on a benchmark, we see it catching “us”—but what we’re actually seeing is the model getting better at operating inside a frame we built. The score measures performance within constraints we specified, problems we froze into measurable form. It doesn’...