Unverified50% confidenceOpinionExact time
The root causes of problems in LLM applications are often not code logic errors, but soft factors such as prompt wording, context management, and retrieval strategies, which are difficult to automatically fix with deterministic rules.
1
Sources
50%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLLM architectures cannot strictly distinguish between 'instructions' and 'data' at the semantic level, which is the root cause of why prompt injection is difficult to fundamentally eliminate.76% similarUnverified格式问题往往可以通过后处理、约束解码或重试机制来缓解，而语义错误才是难以修复的根本缺陷72% similarUnverified直接让 LLM 生成 SQL 风险很高，因为模型不了解表结构、字段含义和业务定义，容易生成语法正确但结果错误的查询68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/828541API
curl https://kongchang.com/api/v1/knowledge/claims/828541MCP
get_claim(id=828541)