Verified90% confidenceFactExact time
'Hallucination' refers to large language models generating plausible-sounding but factually incorrect content with high confidence
6
Sources
90%
Confidence
Long-term
Relevance
8/2/2026
First Seen
Sources
What Would the AI Landscape Look Like If Google Had Launched ChatGPT First?
Related Entities
Related Claims
VerifiedLLM幻觉（Hallucination）是大语言模型的已知问题，会导致AI生成不准确的内容79% 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71% similarVerifiedEarly large language models suffered from serious overconfidence, tending to give definitive statements even for uncertain answers, which is the hallucination phenomenon.70% similarUnverified当需求存在逻辑矛盾或业务知识缺失时，大语言模型因缺乏真实世界反馈机制存在产生幻觉（Hallucination）的风险68% similarUnverifiedLarge language models have a sycophancy characteristic, tending to organize their output according to the inclination of the prompt rather than reflecting factual truth.68% similar
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