From Good to Great: Regularization as Control, Not Optimization
Updated December 2025 to reflect modern agentic and autonomous systems Executive Summary Most machine learning systems don’t fail because they lack intelligence. They fail because they become confident too quickly. Regularization is often described as a mathematical trick to prevent overfitting. That description is correct — and dangerously incomplete. At its core, regularization is about…