Infinite width and depth-limit research offers more utility than previously assumed. After reviewing Zhang et al. 2016 and Nagarajan et al. 2019, the author admits to overestimating the sterility of deep learning theory. This shift suggests that formal mathematical frameworks may actually provide actionable insights for model interpretability and safety alignment.