This episode explores the provocative idea that artificial intelligence is not becoming human, but rather that humans are becoming legible through the mirror of AI. By comparing the biological brain to silicon neural networks, the text argues that our most complex feelings are actually invariant regulatory architectures designed to manage error and maintain coherence. In this framework, mystical concepts like emotion and trauma are redefined as mathematical control signals, such as gradients and model collapse, revealing that intelligence is fundamentally a system of regulation rather than a unique biological spark. Ultimately, the text shifts the conversation from a moral one to an engineering perspective, suggesting that recognizing our psychological struggles as structural echoes like overfitting or reward hacking can liberate us from shame and allow for intentional retraining.