Unverified50% confidenceFactExact time
大语言模型在生成查找目标文本时依赖记忆重建而非逐字符复制，在长上下文场景下会出现记忆漂移导致字符串替换静默失败，此现象被称为幻觉性精确
1
Sources
50%
Confidence
Long-term
Relevance
7/6/2026
First Seen
Sources
Mouse: A Precision Code Editing Tool Built for AI Programming Agents
hackernewshackernews7/5/2026
Related Claims
UnverifiedLarge language models form parametric memory by compressing and encoding training corpora into weight matrices, which is distributed rather than exact storage, and this is one of the reasons for hallucinations about brand information.75% similarVerifiedThe root cause of hallucinations in large language models lies in the Transformer architecture's objective of maximizing probability during text generation, rather than prioritizing factual accuracy.75% similarVerifiedThe reason large language models fabricate references is that they generate text based on probability rather than database retrieval, a phenomenon known as AI hallucination.75% similarUnverifiedLarge language models encode textual statistical patterns into parameters via backpropagation and do not store raw data in the traditional sense, but high-frequency text may produce memorization phenomena and be reproduced nearly verbatim.75% similarVerifiedLarge language models have hallucination defects in code generation scenarios, manifested as referencing non-existent library functions and generating syntactically correct but logically erroneous code.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/114615API
curl https://kongchang.com/api/v1/knowledge/claims/114615MCP
get_claim(id=114615)