Verified75% confidenceTradeoffExact time
LLM outputs are probabilistic, carry hallucination risks, and may misjudge context and invoke tools that should not be invoked.
3
Sources
75%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
UnverifiedLLMs may make incorrect judgments due to hallucinations, prompt injection, or contextual misunderstanding, and without independent verification mechanisms, faulty reasoning can directly translate into erroneous production operations79% similarUnverifiedLLM在处理实时性需求时极易产生幻觉，输出过时或错误的信息79% similarUnverifiedLLM applications face unique challenges including output non-determinism, subjectivity in evaluation, unpredictable costs, and security risks.78% similarUnverifiedLLM calls have inherent uncertainty: the same input may produce different outputs, token consumption and latency fluctuate significantly, and the reasoning path of an Agent is difficult to predict.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/587189API
curl https://kongchang.com/api/v1/knowledge/claims/587189MCP
get_claim(id=587189)