Unverified50% confidenceFactExact time
The training data of large language models often lags behind the evolution of modern Web standards, causing them not to always correctly use new features of CSS and HTML.
1
Sources
50%
Confidence
Long-term
Relevance
8/14/2026
First Seen
Sources
Modern Web Guidance：用RAG文档填补AI编程的现代Web能力短板
Related Claims
UnverifiedLarge language models have two inherent weaknesses: their knowledge is cut off at training time and they cannot obtain the latest information, and they can only generate text and cannot directly perform actions.70% similarUnverifiedLarge language models are based on historical training data and have knowledge limitations including the inability to access real-time data and the inability to reach non-public proprietary enterprise data.68% similarUnverifiedTraining data for large language models includes both authoritative sources like Wikipedia and unreliable content like forum spam and deliberate fabrications68% similarVerifiedThe internet's supply of high-quality text data for training large language models has been largely consumed.67% similarUnverified当前大语言模型存在训练数据时间截止点，无法感知截止日期后出现的新网络梗，即便结合RAG检索也难以理解圈层网络语言的深层语境67% similar
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