Unverified50% confidenceCautionExact time
幻觉是LLM的固有问题，AI可能生成语法正确但逻辑错误、或引用不存在API的代码
1
Sources
50%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
Related Claims
VerifiedLarge 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.81% similarUnverifiedAI-generated code suffers from hallucination defects, including references to non-existent library functions, logically erroneous code, and version mismatches caused by training data cutoffs.80% similarVerifiedSpecific manifestations of AI hallucinations include: calling non-existent API methods, incorrectly handling edge cases, and generating code with race conditions in concurrent scenarios.80% similarUnverifiedAI 生成代码产生混乱的根本原因是LLM是无状态的，不存在跨会话的持久化记忆，与软件工程要求的强一致性存在结构性矛盾77% similarUnverifiedAI hallucination is an inherent defect of all current mainstream generative AI systems, stemming from the LLM's mechanism of predicting the next token rather than retrieving facts from a knowledge base76% similar
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