Unverified60% confidenceOpinionExact time
The stateless nature of LLMs (each conversation being independent) prevents them from maintaining design consistency across multiple interactions, which is a fundamental limitation at the technical architecture level.
2
Sources
60%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Claude Code's Frontend UI Too Ugly? This Open-Source Skill Teaches AI Professional Design
bilibili郭宏志-老郭5/31/2026
Related Entities
Related Claims
UnverifiedLarge language models (LLMs) have no memory and treat each conversation as an independent interaction, making it difficult to support continuous complex tasks.77% similarUnverifiedLLMs have obvious limitations: they lack long-term memory of the internal context of a specific organization, cannot truly understand interpersonal relationships and power structures, and are prone to hallucination or over-execution when facing ambiguous instructions.76% similarUnverifiedGeneral-purpose LLM chatbots cannot serve as tactical coaches because they fabricate patch data, cannot reason over multi-hop relationships, and forget everything once the session ends.71% similarUnverified目前业界尚无完美的提示注入防御方案，指令与数据的根本性混淆是LLM架构层面的限制71% similarUnverifiedLLM本质上无法从架构层面区分被处理的数据和应当执行的指令，这类攻击极难从模型本身彻底根除70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/273API
curl https://kongchang.com/api/v1/knowledge/claims/273MCP
get_claim(id=273)