Expired70% confidenceTradeoffExact time
When code volume exceeds the model's effective context window, AI may hallucinate, identifying vulnerabilities that do not exist or raising unnecessary questions about correct code.
4
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
7/24/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/22/2026(expired)
Sources
AI审计密码库实战：在Cloudflare CIRCL中发现了什么
hackernewshackernews7/7/2026
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.83% similarVerifiedCommon issues with AI-generated code include hallucination problems (generating non-existent API calls), inconsistent code standards, and quality degradation as project complexity increases.78% similarVerifiedAI代码生成的幻觉率与上下文的歧义程度正相关，项目约定越模糊模型越倾向于发明看似合理的实现78% similar
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