Recursive self-improvement without weight updates: where agent gains actually come from

The Sequence argues that most user-visible agent improvement in 2026 comes from layers above the model weights, not from training itself. It frames improvement as operating across three distinct layers, each with different update economics, while the bottom weight-training layer receives most of the attention.