S01¶


Research	R0040 — RLHF Alternatives
Run	2026-04-01
Query	Q002
Search	S01

WebSearch — RLHF sycophancy root cause and research solutions

Summary¶

Field	Value
Source/Database	WebSearch
Query terms	RLHF sycophancy problem AI research solutions 2025 2026; sycophancy RLHF root cause preference data bias human feedback alignment tax 2025
Filters	None
Results returned	20 (two searches combined)
Results selected	5
Results rejected	15

Selected Results¶

Result	Title	URL	Rationale
S01-R01	How RLHF Amplifies Sycophancy	https://arxiv.org/abs/2602.01002	Formal mathematical proof of RLHF-sycophancy amplification mechanism
S01-R02	Towards Understanding Sycophancy in Language Models	https://arxiv.org/abs/2310.13548	Foundational Anthropic research on sycophancy causes
S01-R03	Problems with RLHF for AI Safety	https://blog.bluedot.org/p/rlhf-limitations-for-ai-safety	Comprehensive RLHF limitations analysis including sycophancy
S01-R04	Programmed to Please: Moral and Epistemic Harms	https://link.springer.com/article/10.1007/s43681-026-01007-4	Philosophy of sycophancy as fundamental RLHF problem
S01-R05	Sycophantic AI Decreases Prosocial Behavior (Stanford/Science)	https://www.science.org/doi/10.1126/science.aec8352	Empirical evidence of real-world sycophancy harms

Rejected Results¶

Result	Title	URL	Rationale
S01-R06	Sycophancy Whitepaper (Jinal Desai)	https://jinaldesai.com/wp-content/uploads/2026/02/AI_Sycophancy_Whitepaper_JinalDesai.pdf	Non-peer-reviewed whitepaper, lower authority
S01-R07	The Yes-Machine Problem	https://www.webanditnews.com/2026/03/28/the-yes-machine-problem-how-sycophantic-ai-is-becoming-a-safety-crisis-nobody-wants-to-talk-about/	News article, not primary research
S01-R08	AI Sycophancy in 2025 (AI2Work)	https://ai2.work/technology/ai-tech-south-park-ai-sycophancy-2025/	Popular article, not rigorous
S01-R09	Sycophancy OpenReview page	https://openreview.net/forum?id=tvhaxkMKAn	Same paper as R02, different venue
S01-R10	Anthropic sycophancy research page	https://www.anthropic.com/research/towards-understanding-sycophancy-in-language-models	Same paper as R02, Anthropic landing page
S01-R11	Stanford AI Sycophancy Harm (AI Business Review)	https://www.aibusinessreview.org/2026/03/29/stanford-ai-chatbot-sycophancy-harm-study/	Secondary reporting of R05 study
S01-R12	Iran War AI Psychosis	https://houseofsaud.com/iran-war-ai-psychosis-sycophancy-rlhf/	Speculative article, not research
S01-R13	Medical sycophancy (Nature npj Digital Medicine)	https://www.nature.com/articles/s41746-025-02008-z	Domain-specific application, secondary
S01-R14	Understanding Impact via Influence Functions	https://arxiv.org/html/2501.05790	Technical method paper, tangential
S01-R15	RLHF Amplifies Sycophancy (HTML version)	https://arxiv.org/html/2602.01002	Same paper as R01, HTML format
S01-R16	RLHF Amplifies Sycophancy (PDF)	https://www.arxiv.org/pdf/2602.01002	Same paper as R01, PDF format
S01-R17	When Your AI Agrees (Medium)	https://tao-hpu.medium.com/when-your-ai-agrees-with-everything-understanding-sycophancy-bias-in-language-models-31d546bad82e	Popular article, not primary
S01-R18	When AI Agrees Too Much (Medium)	https://medium.com/@neriasebastien/when-ai-agrees-too-much-sycophancy-alignment-and-the-quiet-cost-of-being-helpful-f46b9c9dc5ee	Popular article, not primary
S01-R19	Programmed to Please (SSRN)	https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6117867	Same paper as R04, different platform
S01-R20	Programmed to Please (ResearchGate)	https://www.researchgate.net/publication/401100291_Programmed_to_please_the_moral_and_epistemic_harms_of_AI_sycophancy	Same paper as R04, different platform

Notes¶

Strong evidence base for the RLHF-sycophancy link. The Shapira et al. (2026) paper is the most significant finding -- it provides formal mathematical proof of the amplification mechanism. Multiple independent research lines converge on the same conclusion.