Lance Da Costa, PhD candidate studying intelligent systems, discusses the free energy principle and its mathematical foundation. They explore different approaches to AI, including active inference and deep reinforcement learning. The advantages of active inference in terms of explainability and safety in intelligent systems are highlighted.

Mathematician Lance Da Costa delves into world and self models in active inference, stochastic differential equations, solenoidal flows in living systems, recognition density, meditation attention, prior beliefs, and cutting-edge vision technology in this insightful podcast.