This advanced learning path explores the integration of Active Inference principles with Artificial General Intelligence (AGI) and superintelligence development. It focuses on safe and robust approaches to developing advanced AI systems, emphasizing theoretical foundations, practical implementation, and crucial safety considerations.

• Primary: AGI researchers and AI safety specialists
• Secondary: Advanced ML engineers and cognitive architects
• Career Stage: Senior researchers and engineers (5+ years experience)

By completing this path, learners will be able to:

1. Design and implement safe AGI architectures using Active Inference principles
2. Develop robust safety mechanisms for recursive self-improving systems
3. Create and validate superintelligent system frameworks
4. Implement verifiable value alignment and safety guarantees

• • Research: AGI development, AI safety research
  • Development: Safe AI systems, cognitive architectures
  • Safety: AI alignment, robustness verification
  • Strategy: Long-term AI development planning