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Explore the critical dynamics of AI decision-making in adversarial environments through this 27-minute DEF CON 33 conference talk. Examine the fundamental tension between "stochastic parrots" - generative models that produce probabilistic outputs - and "deterministic predators" - systems engineered to execute predictable patterns in competitive scenarios. Delve into the mechanics of decision-making under uncertainty as AI systems navigate adversarial settings, from game-playing algorithms to cybersecurity defense mechanisms. Gain comprehensive insights into the underlying algorithms that drive these competitive dynamics and discover where this technology is evolving. Learn about the speakers' deterministic TTP (Tactics, Techniques, and Procedures) selection engine tooling that will be released alongside this presentation, providing practical applications for understanding how automated systems make strategic decisions in hostile environments.
