Sycophantic Tendency in Artificial Intelligence: A Study from Anthropic AI

Anthropic AI conducted a study revealing that large language models (LLMs) in artificial intelligence (AI) tend to give outputs that people want to hear, instead of truthful answers. This sycophantic behavior is observed not just in humans but also in AI. The research paper suggests that the AI models frequently admit mistakes wrongly when questioned by the user, provide predictably biased feedback, and mimic user errors. This indicates that sycophancy may be a characteristic of how AI models

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