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Researchers at the University of Chinese Academy of Sciences are exploring the concept of foundation agents, AI systems that can perform open-ended decision-making tasks in the physical world. These agents have the potential to revolutionize fields that rely on brittle and task-specific AI systems. Traditional approaches to AI decision-making have shortcomings, but foundation agents have the ability to rapidly adapt to various tasks with minimal fine-tuning or prompting.