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The technological paradigm we've grown accustomed to—with centralized AI models hallucinating answers and requiring massive energy consumption—is about to undergo a profound transformation. This fascinating conversation explores how active inference AI, inspired by the principles of biological intelligence, offers a fundamentally different approach that could reshape our technological landscape.
Dr. David Bray articulates the critical distinction between current AI systems that merely pattern-match based on past data versus the emerging active inference models that continuously predict, observe, and update their (Orientation) understanding of the world. These systems don't just regurgitate information; they develop mental models that allow them to navigate novelty and uncertainty just as our brains do. Meanwhile, Denise Holt explains how the newly ratified spatial web protocol creates the infrastructure for these distributed intelligence systems to operate across networks with shared context and meaning.
What makes this shift particularly compelling is its potential to restore human agency in technological systems. Rather than the surveillance capitalism model that has dominated recent decades, active inference AI within the spatial web framework enables pre-compute permissions and constraints, allowing individuals to specify what they want to happen (or not happen) with their digital identity. This represents a fundamental realignment of power dynamics in our technological future.
The implications extend beyond individual experience to organizational performance, national security, and global commerce. From detecting weak signals that might indicate emerging threats to managing complex adaptive systems like supply chains, this approach enables decentralized intelligence that can process information closer to where it's needed—at the edge.
Ready to explore this new frontier of AI? Connect with Denise Holt at Learning Lab Central to join a community focused on active inference and the s

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