Unverified50% confidenceOpinionExact time
The language model component lacks the ability to explicitly model spatial relationships, causing the model to make errors easily in tasks requiring precise numerical reading and cross-element alignment.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLarge language models are not adept at precise deep search and are prone to errors in concrete move calculations.78% similarUnverifiedCross-lingual jailbreaking exploits the asymmetry between a model's concept space and its language space, as the learning of safety-refusal behavior is highly language-specific.78% similarUnverifiedIn scenarios requiring deep reasoning or multi-turn long-context understanding, locally running small language models generally produce lower-quality answers than cloud-based large models.77% similarVerifiedCurrent large language models lack real-world perception interfaces and causal reasoning capabilities, and are essentially doing pattern matching rather than intent understanding76% similarVerified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76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1073171API
curl https://kongchang.com/api/v1/knowledge/claims/1073171MCP
get_claim(id=1073171)