Unverified50% confidenceFactExact time
In AI agents, instructions and data are merged into the same plain-text stream, and the model has no parser to determine whether the data is trustworthy, which is the root of prompt injection.
1
Sources
50%
Confidence
Long-term
Relevance
10/24/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAI models generate answers by categorizing entities and verifying claims; they do not calculate keyword density, and keyword stuffing does nothing for AI visibility.79% similarUnverifiedAn AI Agent's data access paths are not hard-coded in advance, but generated at runtime by model reasoning, so it is difficult to audit or restrict them with static rules.78% similarUnverifiedAI Agent的任务完成判断往往基于表层信号（如HTTP响应码、代码静态分析结果），而非深层的业务语义验证77% similarUnverified当AI编程工具的工具链不完整时，Agent无法从观察环节提取有效信号，整个推理链会退化为纯文本预测模式77% similarUnverifiedIn the AI coding toolchain, the executable artifacts produced by the model (patches, commands, file contents) should serve as the basis for verification, while natural language explanations (summaries, justifications) should not be treated as a source of truth by tool logic.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1092660API
curl https://kongchang.com/api/v1/knowledge/claims/1092660MCP
get_claim(id=1092660)