AI Needs Human Guidance as It Learns to Improve Itself

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The article argues that as AI systems move from human-guided training toward recursive self-improvement (RSI), people must retain authority over evaluation, safety boundaries and deployment. It cites OpenAI’s reported math work involving about 10,000 agents over 88 hours and 719 AI-generated manuscripts, while noting that the results require rigorous review. The article also describes Shanghai teams’ work on long-running agents and Self-Harness, and argues that faster iteration makes human oversight more important.

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