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This article discusses the progress that has been made in the field of Artificial Intelligence (AI) in terms of safeguards, implementation, and conceptual frameworks. It highlights the importance of reinforcement learning from human preferences and iterative amplification in order to communicate with AI and evaluate tasks that humans can’t.