**语言并非思维之媒介：顶级学术期刊《自然》论文引发AI领域热议**
近日，顶级学术期刊《自然》发表了一篇由麻省理工学院等机构共同研究的论文，引发了人工智能领域的广泛讨论。该论文指出，语言主要是用于交流的工具，而非思考的工具，这一观点挑战了当前关于语言在人类思维中作用的普遍认知。
论文指出，现代人类的语言在沟通方面具有重要作用，但在思维过程中并非必需。研究人员基于神经科学等相关学科的最新证据，论证了语言并不等同于思维，且大模型在模拟人类推理方面存在局限。这一研究成果对于人工智能领域的发展提出了新的思考方向。
该论文引发了关于大语言模型（LLM）未来发展的激烈讨论。有观点认为，当前推崇的ChatGPT系列产品或大语言模型通向通用人工智能（AGI）的路线可能存在误区。为何GPT-4借助非语言数据训练能变得更聪明，也引发了业内思考。这篇论文挑战了人们对于语言在智能中所扮演角色的传统认知，或将开启人工智能发展的新篇章。该领域未来如何发展，仍待进一步探索和研究。
英语如下：
News Title: “Language Is More Than a Tool for Thinking? The Tech Industry Is in a Wave of Upheaval”
Keywords: NLP, cutting-edge technology discussion: emerging debate on communication tools language, language communication tools, new understanding of language and thinking, AI updates
News Content: **Language Isn’t Just a Medium for Thinking: Top Academic Journal ‘Nature’ Paper Generates Heated Discussion in the AI Field**
Recently, a paper published in the top academic journal ‘Nature’ and jointly researched by institutions such as MIT has sparked widespread discussion in the artificial intelligence field. The paper argues that language is primarily a tool for communication rather than a tool for thinking, challenging current widespread beliefs about the role of language in human thinking.
The paper emphasizes the important role of modern human language in communication, but not necessary in the process of thinking. Based on the latest evidence from related fields such as neuroscience, researchers have demonstrated that language is not equivalent to thinking, and there are limitations in large models simulating human reasoning. This research provides new directions of thinking for the development of the AI field.
The paper has sparked intense discussion about the future development of large language models (LLM). Some believe that the current approach advocating for products like ChatGPT or the route of LLMs towards artificial general intelligence (AGI) may be misguided. The reason why GPT-4 can become more intelligent through non-language data training has also sparked industry reflection. This paper challenges traditional beliefs about the role of language in intelligence, potentially opening a new chapter in the development of artificial intelligence. The future of this field remains to be further explored and researched.
【来源】https://www.jiqizhixin.com/articles/2024-06-24-14
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