Sycophancy is a noticeable failure mode in deployed LLMs, but the scientific question not yet answered is why sycophancy emerges so robustly from RLHF: is it a necessary consequence of optimizing for human approval, a distributional artifact, or something structural about how models represent social context?
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@misc{garbacea-the-science-of-2026,
author = {Garbacea, Georgeta-Cristina},
title = {The Science of Sycophancy},
year = {2026},
url = {https://hypogenic.ai/ideahub/idea/U8H9Bn4IYajIJLMJiRxu}
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