Explainable AI: Active Inference, Free Energy Principle, Spatial Web & Boyd's OODA loop with Denise Holt | Ep 25

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What if we told you there's an AI that goes beyond the limitations of traditional large language models (LLMs) and is modeled after our very own brains? Join us in our captivating conversation with Denise Holt, Spatial Web podcast host, as we unlock the secrets of active inference AI and its groundbreaking potential to reshape our interaction with the world around us.

Discover how active inference AI, inspired by the same sciences behind the OODA loop, is more energy-efficient and offers a transparent, auditable, and explainable decision-making process. Together with Denise, we delve into the Spatial Web as the next evolution of internet protocol and its role in providing a framework for interoperability between emerging technologies. Learn how active inference AI can be used to create action-perception loops for intelligent agents and how the Free Energy Principle influences both the external and internal states of an agent.

Lastly, we explore the fascinating world of brain perception and inference through the lens of Adelson's Checkerboard Illusion. Uncover the importance of active inference in the brain's ability to make predictions about the external world, and how sensory signals serve as a currency within our bodies. Don't miss this riveting discussion on the future of AI, the Spatial Web, and the incredible potential of active inference AI.

Denise Holt on LinkedIn
Spatial Web AI
Twitter:
@deniseholt_
@spatialwebai
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