Unverified50% confidenceFactExact time
LLM生成的每一个词本质上是基于前文语境的条件概率预测，而非基于真实经历或情感状态
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
AI能替我们写悼词吗？十六次失败揭示的技术边界
hackernewshackernews7/7/2026
Related Claims
VerifiedLLM的生成机制是基于概率的文本预测，而非真正'理解'代码语义82% similarVerifiedLLM以自回归方式逐token生成输出，每个词的选择基于当前上下文的概率采样82% similarUnverifiedLLMs essentially perform probability predictions for the most likely next word rather than creating based on deep understanding of brand, audience psychology, and business objectives81% similarVerifiedLLM本质上是统计概率模型，预测的是最可能出现的下一个token，而非真正理解业务语义76% similarVerifiedLLM本质上是基于海量文本训练的概率分布系统，每次输出都是对下一个最可能词元的采样，而非基于真实世界知识的检索与推理76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/502487API
curl https://kongchang.com/api/v1/knowledge/claims/502487MCP
get_claim(id=502487)