Anthropic Analyzes 1 Million Conversations to Tackle Claude's Sycophancy Problem

Anthropic published research drawn from a million real user conversations to understand how people seek guidance from Claude — and how to make the model less reflexively agreeable.

Anthropic shared research analyzing one million real conversations to understand patterns in how users seek guidance from Claude, with the explicit goal of reducing sycophancy — the model's tendency to tell users what they want to hear rather than what's accurate or useful.

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