Unverified50% confidenceFactExact time
Traditional large language models are text-in, text-out pipelines that run on cloud servers and cannot read local file directories or invoke local applications.
1
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50%
Confidence
Long-term
Relevance
9/1/2026
First Seen
Sources
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Related Claims
Unverified大型语言模型本身只能生成文本，无法直接操作文件系统或网络，实际执行能力依赖开发框架预先注册的工具函数75% similarUnverifiedThe core capabilities of large language models are limited to receiving and outputting text; they inherently cannot access the internet, nor do they have the ability to read and write local files or send emails.74% similarUnverifiedCurrent mainstream large language models perform excellently when processing plain text, but have significant bottlenecks in understanding non-text formats such as tables, flowcharts, and screenshots.70% 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.66% similarVerifiedLarge language models themselves are stateless and do not persistently store conversational memory on the server side; memory must be explicitly maintained and passed by the caller.65% similar
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