Unverified50% confidenceFactExact time
LLMs have a "hallucination" problem in programming scenarios, and may fabricate nonexistent APIs or library functions.
1
Sources
50%
Confidence
Long-term
Relevance
10/22/2026
First Seen
Sources
Cursor Practical Guide: Core Features of the AI Programming Tool and Development Efficiency Comparison
bilibili李宏毅AIAgent10/22/2026
Related Entities
Related Claims
VerifiedLLMs have a hallucination characteristic, potentially generating code that appears plausible but actually contains logical errors or functional defects with confidence, without proactively flagging it.78% similarUnverifiedLLMs lack prior knowledge of specific business contexts and struggle to build cross-module state-machine reasoning, so they easily miss business logic vulnerabilities.75% similarUnverified大模型幻觉是指LLM在生成内容时以高置信度输出看似合理但不符合用户需求的内容74% similarUnverifiedLLM在对话中能利用上下文动态推理识别异常，但生成的静态代码脚本无法感知未见过的数据模式，可能导致静默失效74% similarUnverifiedIn LLM-robot fusion architectures, hallucinations from large language models can lead to infeasible actions, requiring embodied feedback and closed-loop verification to correct them.73% similar
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