Unverified50% confidenceFactExact time
Models optimize for plausibility rather than truth, and a fluent, confident answer is not the same thing as a correct answer.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIn an AI document processing system, the model producing a plausible answer does not mean the answer is correct.77% similarUnverifiedThe study observed a clear lack of correlation between the correctness of answers and the validity of reasoning traces, with models frequently arriving at correct answers even when the reasoning traces are completely invalid.76% similarUnverifiedAn improvement in model capability does not equal behavioral compatibility.74% similarUnverifiedModels have no confidence-gating mechanism during generation and cannot determine whether they know something; when faced with a knowledge gap, they do not stop to express uncertainty but instead continue generating the statistically most fluent continuation.74% similarVerifiedWhen a model lacks up-to-date information, it may not admit ignorance, but instead fabricate seemingly plausible yet factually incorrect answers (hallucinations).74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1027106API
curl https://kongchang.com/api/v1/knowledge/claims/1027106MCP
get_claim(id=1027106)