According to God of Prompt (@godofprompt), grokking was first discovered by accident in 2022 when OpenAI researchers trained AI models on simple mathematical tasks such as modular addition and permutation groups. Initially, these models exhibited rapid overfitting and poor generalization during standard training. However, when the training was extended far beyond typical convergence—over 10,000 epochs—the models suddenly achieved perfect generalization, a result that defied conventional expectations. This phenomenon, termed 'grokking,' suggests new opportunities for AI practitioners to enhance model robustness and generalization by rethinking training duration and monitoring. The discovery holds significant implications for AI model training strategies, particularly in applications demanding high reliability and transferability. (Source: @godofprompt on Twitter, Jan 6, 2026)