Most machine learning models seem to fail during long AI training sessions. But neural networks often hide a secret breakthrough known as grokking. At first, the model is like a student who memorizes the textbook. It finds shortcuts to get the right answer for the data it sees. The training score looks perfect, but real-world performance stays low. Then, something shifts. With more time, the model starts to simplify its own logic. It ditches the messy shortcuts and discovers the actual rules of