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Dan Mapes: World Models, Active Inference, and the Future of AGI

[HPP] Ilya SutskeverFebruary 18, 20261h 0min
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The Shift to World Models

  • πŸ’‘ Active Inference AI and world models represent the next generation of AI, moving beyond the limitations of current large language models (LLMs).
  • 🧠 Unlike LLMs that guess at reality from pre-trained data, embodied AI learns like babies by interacting with the physical world through senses like sight, touch, and movement.
  • 🎯 This approach allows machines to build a deeper understanding of the real world, enabling them to reason, plan, and act with common sense.

Spatial Web and Decentralized Intelligence

  • 🌐 The Spatial Web, enabled by protocols like HSTP and HSML, creates a 3D internet of networked virtual worlds and digital twins, from buildings to entire cities.
  • πŸš€ This platform facilitates decentralized AI, allowing individuals and organizations to build specific, smaller AIs (e.g., for cardiology or farming) that can communicate and share data.
  • 🀝 This fosters a collective intelligence built by millions, similar to how the World Wide Web was developed, rather than relying on centralized, monolithic AI systems.

Active Inference: Evolutionary AI

  • 🌱 Developed by Karl Friston based on the Free Energy Principle, Active Inference AI is an evolutionary AI that continuously learns, adapts, and self-regulates in real-time.
  • πŸ€– Unlike pre-trained robots or LLMs that hit performance walls, these systems have agency and can solve problems creatively, as demonstrated by outperforming pre-trained robots in the Habitat Test with no pre-training.
  • ⚑ This continuous learning capability is crucial for reliable robotics, autonomous systems, and achieving true AGI (Artificial General Intelligence).

Real-World Impact and Applications

  • πŸ₯ Active Inference AI has vast applications, from cancer diagnostics and emergency response (e.g., drone-delivered medical aid) to optimizing smart cities and supply chains.
  • πŸ›οΈ It will revolutionize commerce with immersive shopping experiences and enable mass couture, where robots can perfectly tailor clothing based on individual measurements.
  • πŸ“ˆ The shift towards autonomous systems and real-time data processing will lead to more efficient services and new tools for global challenges like climate management and ocean health.

Future of Brands and Abundance

  • πŸ“Š Brands will be judged by their intelligence scores, reflecting the quality and adaptability of their AI systems, fostering trust and credibility.
  • πŸ’° AI and robotics are driving a fifth abundance revolution, pushing the cost of essential goods and services (housing, food, medicine) towards zero, freeing up human potential.
  • βœ… Verses AI is commercializing this technology, starting with portfolio management, demonstrating significant outperformance and paving the way for widespread adoption of these self-evolving AIs.
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What’s Discussed

Active Inference AIWorld ModelsEmbodied AISpatial WebDecentralized AILarge Language Models (LLMs)Karl FristonFree Energy PrincipleAGI (Artificial General Intelligence)RoboticsDigital TwinsEvolutionary AIBrand Intelligence ScoresAbundance EconomyPortfolio Management
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