Next-Generation AI Agents - Orchestrating Technological Evolution

Explore the future of AI agents through this 18-minute conference talk that moves beyond current hype to examine next-generation approaches to artificial intelligence. Discover why today's LLM-based agents face critical limitations in cost, novelty handling, and scaling, then learn about Active Inference as a first-principles framework based on the Free Energy Principle. Understand how Active Inference creates more adaptive, curious, efficient, and explainable AI systems through action-perception loops and expected free energy minimization. Examine the scaling potential from single agents to multi-agent teams with emergent orchestration capabilities, and see how this approach could revolutionize enterprise systems and technological evolution. Gain practical insights into the next frontier for AI agents, complete with resources for getting started including recommended books, libraries, and research institutes.

Syllabus

Who I Am + What We’ll Cover: Next-Gen AI Agents Beyond the Hype
The Agent Boom: Hype, Market Growth, and What’s Still Missing
Reality Check: Why Today’s LLM Agents Break Cost, Novelty, Scaling
Enter Active Inference: The First-Principles Framework Free Energy Principle
How Active Inference Works: Action–Perception Loop & Expected Free Energy
Why It Matters: Adaptivity, Curiosity, Efficiency, and Explainability
Scaling Up: From Single Agents to Multi-Agent Teams & Emergent Orchestration
Big Picture: Active Inference as a Path to Tech Evolution & Enterprise Systems
Key Takeaways: The Next Frontier for Agents and What to Do Next
Resources & Getting Started: Books, Libraries, Institute + Contact