ChatGPT is built on a large language model trained on an enormous corpus of human text to emulate human conversation. Despite lacking any explicit programming regarding the laws of physics, recent work by Kortemeyer (2023) has demonstrated that ChatGPT-3.5 could pass an introductory physics course at some nominal level and register something close to a minimal understanding of Newtonian Mechanics on the Force Concept Inventory. This work replicates those results and also demonstrates that the latest version, ChatGPT-4, has reached a much higher mark in the latter context. Indeed, its responses come quite close to perfectly demonstrating expert-level competence, with a few very notable exceptions and limitations. We briefly comment on the implications of this for the future of physics education and pedagogy.
翻译:ChatGPT 是建立在巨大的语言模型之上,通过训练大量的人类文本来模拟人类对话。尽管没有明确编程关于物理学定律的知识,但 Kortemeyer(2023)的最新研究表明,ChatGPT-3.5 可以在某种程度上通过入门物理课程,能够达到接近牛顿力学上力的概念库的最低水平。本文复制并延伸了该研究,并证明了最新版本 ChatGPT-4 在这方面的表现远远超越了之前的版本。实际上,它的回答非常接近于完美地展示了专家级别的能力,但仍存在一些值得注意的限制和局限性。我们简要评价了这对未来物理教育和教学的影响。