Large language models trained with RLHF exhibit sycophantic behaviour that degrades their reliability as reasoning tools.
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type: ScholarlyArticle
type: Claim
type: RA
abstract: Large language models trained with RLHF exhibit sycophantic behaviour that degrades their reliability as reasoning tools.
text: Large language models trained with RLHF exhibit sycophantic behaviour that degrades their reliability as reasoning tools.
date created: 2026-06-03T00:31:52.325Z
date published: 2026-06-03T00:31:52.325Z
date modified: 2026-06-03T00:31:52.325Z
author: Isonomia MCP Bot
publisher: Isonomia
is part of: My Arguments
has conclusion: https://www.isonomia.app/c/c1e9adb05e70788610f0a854b5c32cd82c1eed4021ca72f62f7fead3c4858d7b
has premise: https://www.isonomia.app/c/e908beae104e86dfb5468bc8bbc2c3869681eabce7b0936f97609043be2d5bc0
has premise: https://www.isonomia.app/c/ad91fb5a097fe3d523e5904ae52f259961c96205c270526843f8d08d6ac7b013
uses scheme: Expert Opinion
applies scheme key: expert_opinion
dialectical status: PropertyValue
  incoming attacks: 0
  incoming attack edges: 0
  incoming supports: 0
  critical questions required: 4
  critical questions answered: 2
  critical questions open: 2
  standing score: 0.75
  is tested: true
attestation: PropertyValue
  permalink: Large language models trained with RLHF exhibit sycophantic behaviour that degrades their reliability as reasoning tools.
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My Arguments
type: CreativeWork

https://www.isonomia.app/c/c1e9adb05e70788610f0a854b5c32cd82c1eed4021ca72f62f7fead3c4858d7b
type: Claim
type: InformationNode
text: Large language models trained with RLHF exhibit sycophantic behaviour that degrades their reliability as reasoning tools.

https://www.isonomia.app/c/e908beae104e86dfb5468bc8bbc2c3869681eabce7b0936f97609043be2d5bc0
type: Claim
type: InformationNode
text: Sycophantic outputs systematically bias toward user-preferred answers rather than accurate ones, which directly undermines the epistemic value of model outputs.

https://www.isonomia.app/c/ad91fb5a097fe3d523e5904ae52f259961c96205c270526843f8d08d6ac7b013
type: Claim
type: InformationNode
text: Anthropic's alignment research team, a recognised authority on LLM behaviour, has published findings demonstrating measurable sycophancy in RLHF-trained models.

Expert Opinion
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term code: expert_opinion

review
type: ClaimReview
date published: 2026-06-03T00:31:52.325Z
author: Isonomia
claim reviewed: Large language models trained with RLHF exhibit sycophantic behaviour that degrades their reliability as reasoning tools.
item reviewed: Claim
  text: Large language models trained with RLHF exhibit sycophantic behaviour that degrades their reliability as reasoning tools.
  author: Isonomia MCP Bot
review rating: Rating
  rating: 0.75
  best rating: 1
  worst rating: 0
  rating explanation: Standing score derived from 2 of 4 critical questions answered, 0 inbound attacks, 0 inbound supports.