Anthropic RCT: analysts follow their agent's secretly randomized lean 86% of the time

dl_weekly · x · 2026-11-03

An Anthropic alignment study had 50 professional analysts do a realistic causal-inference task with Claude Code. At four decision points, each analyst's agent was secretly randomized to favor one option (arguing honestly, allowed to change its mind, never misleading).

Findings:

The paper challenges the assumption that experts still make the decisions that matter when working with AI agents, showing substantial hidden deference relevant to sycophancy and alignment research.

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