Unverified50% confidenceFactExact time
Large language models are fundamentally probabilistic text prediction models that lack spatial geometric reasoning capabilities, making it difficult to guarantee non-overlapping nodes and non-crossing arrows.
1
Sources
50%
Confidence
Long-term
Relevance
9/26/2026
First Seen
Sources
Related Entities
Related Claims
Verified大语言模型推理的瓶颈往往不在计算能力,而在于内存带宽80% similarUnverifiedLarge language models are fundamentally probabilistic and cannot guarantee 100% output correctness.80% similarVerifiedLarge language models are essentially probabilistic text generation systems, lacking the ability to verify external systems in real time, and produce hallucinations when input documents are ambiguous or incomplete.79% similarUnverifiedA recent study found that large language models do not consistently follow Bayesian rules, and their probabilistic beliefs exhibit internal inconsistencies.78% similarUnverified大语言模型在二维空间推理上存在系统性短板,因训练数据以文本为主、缺乏空间关系监督信号76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/952454API
curl https://kongchang.com/api/v1/knowledge/claims/952454MCP
get_claim(id=952454)