Explainable AI: Active Inference, Free Energy Principle, Spatial Web & Boyd's OODA loop with Denise Holt | Ep 25
Jun 13, 2023
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Join Denise Holt, Spatial Web podcast host, as we delve into the secrets of active inference AI, the potential of the Spatial Web, and the influence of the Free Energy Principle. Discover the differences between LLMs and active inference AI, and explore the integration of active inference with the Spatial Web protocol. Learn about the journey to interoperability, the action-perception loop, and the concept of the Markov blanket. Prepare for a captivating discussion on AI, the future of the internet, and the incredible potential of active inference AI.
Active Inference AI is a transparent and auditable decision-making process inspired by the OODA loop.
The Spatial Web is the next evolution of internet protocol, providing a framework for interoperability between emerging technologies.
Active inference AI enables prediction error minimization and incorporates the OODA loop for optimized decision-making and intelligence.
Deep dives
Introduction to Spatial Web and Hyperspace Protocol
The spatial web is the next evolution of our internet protocol, allowing us to interact with a network of spaces and their entities. The hyperspace transaction protocol and hyperspace modeling language provide the framework for this digital twin environment.
Active Inference AI vs. LLMs
Active Inference AI is a new type of AI that models biological systems like our brain, allowing for transparency, auditability, and decision-making based on real-time data. In contrast, LLMs, like GPT-3, are limited to pattern recognition and lack explainability and observability.
Verses AI and the Future of Active Inference AI
Verses AI is a cognitive computing company that is building a cosm operating system on top of the spatial web protocol, enabling the creation of intelligent agents within the network. Active Inference AI, combined with the spatial web, has the potential to optimize operations and solve complex problems across various fields.
Understanding the Action Perception Loop
The podcast episode delves into the concept of the action perception loop, which is the foundation for how humans interact with the external world. It explains that we observe things through our sensory organs and then emit actions to change the environment. This loop enables us to engage in reciprocal interactions and is essential for our growth and vitality. The episode discusses the importance of understanding the boundary between the internal and external states, known as the Markov blanket, which allows us to govern both ourselves and the larger entity. Overall, it highlights the significance of perception and action in shaping our reality and how it connects to active inference AI.
The Free Energy Principle and Active Inference AI
The podcast explores the free energy principle and its connection to active inference AI. It explains that active inference involves making predictions about the causes coming from the external world and minimizing the difference between our sensory observations and these predictions. This process, known as prediction error minimization, helps us adapt our internal model and perception of reality. The episode also touches on the concept of the OODA loop, which stands for Observe, Orient, Decide, and Act. It showcases how active inference AI incorporates the OODA loop to optimize decision-making and create a distributed network of intelligence. By understanding these principles, individuals and organizations can enhance their self-awareness, focus, and ability to optimize outcomes.
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.
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