《The Verge》近日发表评论，指出人工智能产业对人脑的理解存在根本性的局限。文章引用已故科学家Norbert Wiener的观点称，"每个时代的思想都反映在其技术中"1，批评业界领袖将复杂的人脑现象过度简化为机器类比。
Google旗下DeepMind的首席执行官Demis Hassabis曾将大脑描述为"对图灵机的生物学近似"1，而特斯拉创始人Elon Musk则主张"人们应该将大脑视为一台生物计算机"1。文章认为，这些观点未能充分认识人类思维的复杂性，人脑的运作机制远比这些计算机类比所能捕捉的要丰富得多1。
The AI industry's understanding of the human brain may be fundamentally inadequate for the technology it is developing. The Verge argues that influential figures in artificial intelligence have oversimplified how the brain works, reducing its extraordinary complexity to mechanical analogies that fail to capture human cognition's true nature 1.
Industry leaders have promoted reductive comparisons between brains and machines. Google's Demis Hassabis has described the brain as "a biological approximation to a Turing machine," while Elon Musk has suggested that "people should just think of the brain as a biological computer" 1. These framings treat the brain as essentially a computing device. As Norbert Wiener observed, "The thought of every age is reflected in its technique" 1—a principle that may explain why the current era tends toward computational metaphors. Yet according to The Verge's analysis, human complexity extends far beyond what such computational metaphors can encompass, and the broader AI industry has not adequately grappled with this limitation 1.
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