Unverified60% confidenceFactExact time
Large models are essentially just a brain with no ability to obtain external information, and they need to acquire real-time data through tool calls.
2
Sources
60%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
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Related Claims
UnverifiedNative large language models have shortcomings including no persistent memory, knowledge cutoff dates, inability to access the internet, and inability to read local files or call external tools.66% similarUnverifiedLarge models lack true long-term memory; every conversation starts from scratch, and they can only compensate by relying on external databases such as RAG (Retrieval-Augmented Generation).66% similarUnverifiedA 2011 study published in Science by Harvard University psychologist Betsy Sparrow and colleagues found that when people know information can be easily retrieved online, the brain automatically reduces the depth of encoding for that information.65% similarUnverified大模型的指令与数据共享同一个输入上下文窗口，无法建立物理隔离边界，这是架构层面的根本性挑战而非微调可解决65% similar
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