PhD candidate in cognitive computing, Mahault Albarracin, and the host explore epistemic communities, social scripts, and AI. They discuss the formation of echo chambers, confirmation bias, epistemic humility, and changing beliefs. They also explore the concept of social scripts and their relationship with active inference. Additionally, they delve into the limitations of human cognition, the concept of possibility spaces, and the relationship between subjectivity, matter, ontology, and epistemology. They also touch on embodiment and consciousness in AI.

In this episode, Darius Parvizi-Wayne interviews Karl Friston, the chief architect of active inference. They discuss the free energy principle, boundary states, and the mark of blanket. They explore the difference between a 'whats governor' and a human, minimizing expected surprise, and the role of priors. The conversation also covers beliefs and temporal depth in generative models, the free energy principle and the statistical manifold, and dynamics and flows in a random dynamical system. They touch on strange loops, the holographic principle, free will, and consciousness. The podcast ends with discussions on self-destructive behavior, imperatives and optimization in the free energy principle, and the philosophical debate on whether life is inherently good.