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In this episode, we explore one of the most overlooked but rapidly escalating developments in artificial intelligence: AI agents regulating other AI agents. Through real-world examples, emergent behaviors like tacit collusion, and findings from simulation research, we examine the future of AI governance—and what it means for trust, transparency, and systemic control.

Technical Takeaways:

Game-theoretic patterns in agentic systems
Dynamic pricing models and policy learners
AI-driven regulatory ecosystems in production
The role of trust and incentives in multi-agent frameworks
LLM behavior in regulatory-replicating environments

References: