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· · 来源:tutorial资讯

As people increasingly turn to language models for information, they face a risk distinct from the familiar problem of hallucination. Unlike hallucinations, which introduce falsehoods, sycophancy is a bias in the selection of the data people see. When AI systems are trained to be helpful, they may inadvertently prioritize data that validates the user’s narrative over data that gets them closer to the truth.

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The agents have access to production logs (read-only), error tracking, and monitoring dashboards. This enables the agent to proactively debug code.

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