Self-Play and AI Evolution

This chapter explores the concept of self-play in artificial intelligence, tracing its origins and significance in the development of systems like AlphaGo. It highlights the evolution of reinforcement learning, the engineering breakthroughs at companies like DeepMind and OpenAI, and the cultural impact of these advancements. Furthermore, it reflects on the challenges and philosophical questions surrounding AI's capabilities in mastering complex games.

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