#machine-learning

Habits, Weights, and the Brain as a Prediction Machine

Habits are not essence — they are weights, accumulated across tens of thousands of repetitions in your neural network. This essay places environment design, attention training, and cognitive reframing alongside Hebbian learning, predictive coding (Friston), constructed emotion (Barrett), and three distributed brain networks (DMN/SN/CEN) — to show why 'knowing but not doing' is not a bug, but a feature.