对话马修·科布：我们并不了解大脑 人类不该盲信人工智能

Core Viewpoint - The article discusses the insights of Matthew Cobb, a neuroscientist, on the understanding of the brain, the limitations of artificial intelligence, and the implications of relying on AI in decision-making processes [2][4][6]. Summary by Sections Writing "The Idea of the Brain" - Cobb reflects on the initial invitation to write a history of neuroscience, which he found uninspiring until he recognized that the history of the brain is a "history of metaphor evolution" [5]. - He illustrates how perceptions of the brain have changed with technological advancements, from Descartes' hydraulic model to the computer analogy, emphasizing that these metaphors shape scientific understanding [5]. Understanding the Brain - Cobb asserts that humanity fundamentally does not understand how the brain operates, which is a central message of his book [6][7]. - He highlights the complexity of even simple neural systems, such as those in fruit flies, and the lack of understanding regarding human consciousness and the specific neurons involved [8]. Artificial Intelligence Perspective - Cobb identifies himself as part of the "AI skeptics," arguing that while AI is a powerful tool, it does not replicate human consciousness [9]. - He critiques the belief that expanding AI models will lead to human-like intelligence, stating that consciousness cannot emerge from computational systems [9][10]. Decision-Making and AI - The article discusses the potential dangers of relying on AI for decision-making, particularly in contexts where clear rules are absent, such as in general models like ChatGPT [10][11]. - Cobb warns against blind trust in AI-generated content, citing examples of fabricated references and the risks of automated systems leading to significant errors in critical areas like law and finance [12].