According to @godofprompt, DeepMind researchers have uncovered a phenomenon called 'Grokking,' where neural networks can train for thousands of epochs without significant progress, only to suddenly achieve perfect generalization in a single epoch. This finding, shared via Twitter on January 6, 2026, redefines how AI practitioners understand model learning dynamics. The identification of 'Grokking' as a core theory rather than an anomaly could prompt major shifts in AI training strategies, impacting both efficiency and predictability of model development. Businesses deploying machine learning solutions may leverage these insights for improved resource allocation and optimization of training pipelines (source: @godofprompt, https://x.com/godofprompt/status/2008458571928002948).