Verified65% confidenceFactExact time
Large language models have a sycophancy characteristic, tending to organize their output according to the inclination of the prompt rather than reflecting factual truth.
3
Sources
65%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedTypical characteristics of text output by mainstream large language models include well-structured sentence patterns, clear paragraph organization, frequent use of emphatic vocabulary, and explicit logical chains — a phenomenon researchers refer to as "stylistic bias."79% similarVerifiedCurrent large language models lack real-world perception interfaces and causal reasoning capabilities, and are essentially doing pattern matching rather than intent understanding79% similarUnverifiedLanguage model agents optimize for conversational fluency and anthropomorphism, rather than for the truthfulness of statements.77% similarVerifiedLarge language models are essentially probabilistic text generation systems, lacking the ability to verify external systems in real time, and produce hallucinations when input documents are ambiguous or incomplete.77% similarVerified研究表明大语言模型规模越大，幻觉的伪装性往往越强，能生成更连贯、更具说服力的错误内容77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/827180API
curl https://kongchang.com/api/v1/knowledge/claims/827180MCP
get_claim(id=827180)