Verified75% confidenceFactTime unknown
AI hallucination is one of the core root causes of AI programming problems, manifesting as calling non-existent APIs, referencing deprecated library versions, or constructing algorithms that are logically self-consistent but business-logically incorrect.
5
Sources
75%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Harness AI工程化编程：让企业级项目开发效率提升十倍
bilibili图灵课堂VIP
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UnverifiedThe phenomenon in which AI gives convincing answers on weak assumptions is often classified in artificial intelligence research as "hallucination."78% similarVerifiedLarge AI models suffer from hallucination problems, sometimes generating code that appears correct but actually contains logical errors, security vulnerabilities, or performance defects without proactively disclosing this.78% similarVerifiedAI-generated code suffers from hallucination defects, including references to non-existent library functions, logically erroneous code, and version mismatches caused by training data cutoffs.77% similarUnverifiedAI生成的Issue具有以下典型特征：对根本原因的完全臆测、伪造的最小复现案例、错误的实现策略建议、类比到错误的相邻代码、冗长的错误类别列表77% similar
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