According to @godofprompt, DeepMind researchers have discovered that neural networks can undergo thousands of training epochs without showing meaningful learning, only to suddenly generalize perfectly within a single epoch. This process, known as 'Grokking', has evolved from being considered a training anomaly to a fundamental theory explaining how AI models learn and generalize. The practical business impact includes improved training efficiency and optimization strategies for deep learning models, potentially reducing computational costs and accelerating AI development cycles. Source: @godofprompt (https://x.com/godofprompt/status/2008458571928002948).