Expired60% confidenceCautionExact time
When code volume exceeds the model's effective context window, AI may hallucinate, and its audit output must be cross-validated by human experts and cannot be used directly as audit conclusions.
2
Sources
60%
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
UnverifiedThe core challenge of AI code review lies in balancing 'noise' and 'insight'—being too sensitive generates a large number of meaningless review comments, while being too conservative causes real issues to be missed.76% similarUnverifiedAI can generate text but struggles to capture the reasons behind tacit knowledge, cannot replace human judgment of information credibility, and manual review remains indispensable in technical documentation scenarios.76% similarUnverified在关键业务流程中使用AI时必须保留人工审核或多重验证机制,不应盲目信任任何标称最高推理级别的模型输出75% similarUnverifiedIn the absence of clear constraints, AI tends to fill in gaps with statistically most plausible content rather than proactively asking for clarification, which is an extension of the hallucination problem.75% similarUnverifiedIn high-risk scenarios such as the judiciary, AI output must undergo independent verification by professionals and cannot rely entirely on machine summaries.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/609012API
curl https://kongchang.com/api/v1/knowledge/claims/609012MCP
get_claim(id=609012)