Exploring Mortal Computation and Adaptive Intelligence in AI

The chapter discusses the concept of mortal computation, highlighting examples like homeostatic mortal computers and sentient organoids. It emphasizes the limitations of current robotics technology in achieving adaptive intelligence and the need for neuro robotics in creating intelligent systems. The speaker also delves into the benefits of active inference over reinforcement learning in terms of intelligent exploration and reducing the number of samples needed to learn a policy.