大模型所谓推理能力只是幻觉，本质无法真正正确推理。
Why Cannot Large Language Models Ever Make True Correct Reasoning?
- 基于大模型工作机制的内在缺陷分析其无法实现真正推理
- 指出当前所谓推理能力实为概率性文本生成的错觉
- 适合关注AI局限性的研究者与从业者阅读
近年来，以ChatGPT为代表的大语言模型（LLMs）驱动的AIGC工具快速发展，引发众多人工智能专家及非专业人士对大模型“推理能力”的广泛赞誉。本文作者认为，这种所谓的“推理能力”仅是概念模糊者的幻觉。事实上，由于其工作原理的本质限制，大语言模型永远无法具备真正的正确推理能力。本文旨在阐明：正是由于其内在机制的根本局限，使得大模型无法实现真正意义上的逻辑推理与正确判断。
原文摘要 · Abstract (English)
Recently, with the application progress of AIGC tools based on large language models (LLMs), led by ChatGPT, many AI experts and more non-professionals are trumpeting the "reasoning ability" of the LLMs. The present author considers that the so-called "reasoning ability" of LLMs are just illusions of those people who with vague concepts. In fact, the LLMs can never have the true reasoning ability. This paper intents to explain that, because the essential limitations of their working principle, the LLMs can never have the ability of true correct reasoning.
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