Renowned AI Founder: Why AGI and Robotics Will Need World Models, Not Word Models- Dan Mapes
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AI Chatbots were just the opening act. The real future of AI isn’t just on your screen- it’s out here with us, learning, moving, and shaping the physical world. While the world obsesses over chatbots and text generators, a quiet revolution is unfolding, and it may be the real path to Agentic AI, Superintelligence, and AGI.
When most people imagine the future of AI, they picture smarter assistants that book vacations, automate tasks, or shop for you. But the real breakthrough won’t come from scaling models- it will come from “embodied AI,” machines that learn as babies do: by seeing, touching, hearing, moving, and constantly updating their internal model of how the world works. These are called world models.
Just as infants spend hours wiggling their fingers and watching gravity in action, future systems will learn through physical experience, building a far deeper understanding of the messy, unpredictable real world. This shift is huge because language models can only take what’s been given to them and guess at reality; they don’t truly understand the consequences. Embodied AI is what will unlock reliable robots, real autonomy, and systems that can reason, plan, and act with common sense.
In this episode, Kimberly Bates speaks with Dan Mapes, Founder of the Spatial Web Foundation and VERSES AI, whose Chief Scientist, Karl Friston, is one of the most published and respected neuroscientists in the world. Mapes argues that the true breakthrough will come from the Free Energy Principle and Active Inference- a neuroscience-inspired framework that could give machines the ability to understand, adapt, act, and self-regulate in the world like humans and living systems.
The conversation also touches on the democratization of intelligence, the evolving role of brand strategy, and the implications of AI in e-commerce, healthcare, and autonomous systems, ultimately painting a hopeful picture of the future of technology and its impact on society.
If you've heard about the future of AI but haven’t heard about Active Inference and the spatial web, you haven’t seen what’s coming next.
Takeaways
- The future of AI lies in embodied systems that learn like humans.
- Active inference represents a significant shift in AI capabilities.
- Decentralized AI will democratize intelligence and empower individuals.
- The spatial web will revolutionize how we interact with technology.
- AI can enhance healthcare through real-time data and emergency response.
- Brands will be judged on their intelligence and adaptability.
- The evolution of AI will lead to more autonomous systems.
- Active inference allows for continuous learning and adaptation.
- The future of commerce will involve immersive and personalized experiences.
- AI will play a crucial role in solving global challenges.
Chapters
00:00 Preview
00:06 Introduction to Dan Mapes and His Personal Journey
00:12 Spatial Web: The Next Paradigm
00:50 The Next AI Model Revolution: Active Inference AI and World Models
00:38 The Next Level Web: Hyper Local Domain AI's
00:26 The Future of AI is Decentralized, Direct to Customer & Self-Evolving
00:17 The Evolution of AI Training: From Pre-Training to Active Inference Real-Time Learning
00:41 The Real Path to Agentic AI and the Spatial Web
00:06 Brand Intelligence Scores: The New Currency of Trust
00:42 Why World Models Have Natural Intelligence
00:20 The Fifth Abundance Revolution
00:32 Human Connection in a Tech-Driven World
00:06 Special Announcement from Dan
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