In this episode, we dive deep into the world of neural networks — the core technology behind today’s most advanced AI systems. Through a Socratic dialogue between teacher and student, we unravel how these networks mimic the brain, how they learn through training and backpropagation, and why activation functions make them capable of recognizing complex patterns. The conversation breaks down big ideas like overfitting, data quality, and generalization into clear, intuitive insights — perfect for anyone curious about how machines learn to think.