MathyAIwithMike

Explore the mystery of "grokking" in neural networks with the Li2 framework (Lazy, Independent, Interactive). Discover the three-stage process: lazy learning (initial memorization), independent feature learning (parallel neuron quests on an energy landscape), and interactive feature learning (neuron interaction, specialization). Learn how overfitting is a *good* thing, enabling feature discovery. The grokking phase transition is a data threshold where generalizable solutions emerge. Understand the provable mechanisms driving generalization in neural networks.