Robust Autonomy Emerges from Self-Play

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Self-play is becoming a significant method for developing autonomy in artificial intelligence models. By allowing AI systems to engage in self-directed learning, they can improve their decision-making and adaptability over time. This method mirrors techniques used in advanced games like Go and Chess, showcasing its effectiveness in creating more strategic and capable AI. The concept of 'smart toys' arises from the notion of creating interactive models that facilitate this self-improvement, potentially leading to practical applications in various sectors, including education and entertainment.
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