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Design an agentic AI system that can autonomously adapt to new tasks.

Focus on outlining the core components of an agentic AI system, emphasizing its ability to learn and adapt to new tasks without human intervention. Discuss the architecture you would use, such as reinforcement learning or neural networks, and how these frameworks enable the system to process new information and adjust its behavior accordingly. Consider the implications of safety and ethical considerations in your design, including how the system would handle unexpected scenarios. Finally, address potential metrics for evaluating the system's adaptability and performance over time, ensuring you cover both technical feasibility and user impact.

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Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.

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