Unverified50% confidenceOpinionExact time
Large models have higher overall accuracy, but their errors are harder to detect because their output is more fluent and persuasive.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
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Related Claims
VerifiedResearch indicates that hallucination rates do not have a linear negative correlation with model scale, and larger models sometimes produce harder-to-detect misinformation in a more fluent manner.78% similarUnverifiedDiffusion models produce high-quality, detail-rich outputs but have slower inference speeds, while Transformer architectures are faster but often fall short of diffusion models in detail accuracy and realism.77% similarUnverifiedThe vaguer the prompt, the more the model output collapses toward high-probability regions, and the stronger the consistency.76% similarUnverified模型规模越大，幻觉的表述往往越流畅、越具迷惑性，识别难度反而上升76% similar
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