The debate over Artificial General Intelligence centers on whether capabilities emerge via a sudden intelligence explosion or steady, incremental growth. This theoretical divide pits rapid recursive self-improvement against traditional iterative development. Most current evidence favors the slow roll. Practitioners should focus on scalable architectural improvements rather than waiting for a spontaneous leap in machine cognition.