Networks of networks follow different rules than traditional networks:
Principle 1: Reciprocal Amplification
Human relationships make AI more effective (context, values, direction)
AI makes human relationships more powerful (scale, memory, analysis)
The combination exceeds the sumPrinciple 2: Emergent Intelligence
Individual nodes (human or AI) have capabilities
Connected nodes create new capabilities
Network intelligence emerges unpredictably
Value comes from emergencePrinciple 3: Adaptive Evolution
Networks continuously reconfigure
Connections strengthen or weaken based on value
New nodes enter, obsolete ones exit
The network becomes antifragilePrinciple 4: Trust Propagation
Human trust enables AI adoption
AI reliability builds human confidence
Trust flows through network connections
High-trust networks outperform