Unverified50% confidenceCautionExact time
Prompts cannot supply a model with knowledge it does not already possess; they can only make it more honestly silent when it is ignorant.
1
Sources
50%
Confidence
Long-term
Relevance
9/28/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen a model lacks up-to-date information, it may not admit ignorance, but instead fabricate seemingly plausible yet factually incorrect answers (hallucinations).79% similarVerifiedWhen the model itself lacks the capability to understand a specific problem, no amount of prompt engineering can compensate for this deficiency79% similarUnverifiedAcademia refers to the phenomenon of models preferring to fabricate rather than admit ignorance as 'sycophancy'.78% similarUnverifiedWhen a model lacks accurate knowledge of a particular library, it tends to generate syntactically correct but semantically incorrect code—so-called 'confident errors.'75% similarUnverifiedLonger prompts are not necessarily better; irrelevant filler should be removed, retaining only the information the model needs to be told.73% similar
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