Adam Shai, co-founder of Simplex AI Safety, dives into the realm of computational mechanics and its application to AI safety. He explores how computational mechanics can improve our understanding of neural network models, especially in predicting outcomes. The discussion covers the intriguing world models that transformers create and how fractals emerge in these networks. Shai also highlights the potential of combining insights from quantum information theory with computational mechanics to enhance AI interpretability.