This paper explores the successes and limitations of large model AI in the fields of natural language processing and machine learning,particularly in terms of its potential upper limits regarding intelligence transformation efficiency,accuracy,controllability,and energy consumption.The article points out that AI based on symbolic systems may be approaching an intelligence development ceiling.To address this limitation,the paper introduces the concept of"physical language,"defining it as a language system that can directly interact and communicate with the laws of nature,in contrast to traditional symbolic languages.Physical language enables more efficient processing by directly expressing and manipulating information from the physical world,significantly improving intelligence systems'transformation efficiency,accuracy,and controllability while reducing energy consumption.The article further explores the application of physical language in industrial control,automation systems,and robotics,and demonstrates its key role in overcoming the limitations of large model AI and advancing the development of Artificial General Intelligence(AGI).
large model AIphysical languageintelligence ceilingnatural language processingsymbolic systemsAGIcausal reasoning
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