发表机构
Tata Institute of Fundamental Research（塔塔基础研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文通过两个极端假设，论证将AI定位为发表代理而非发现代理，可使人类研究者专注于基础天体物理学，从而对领域产生积极影响。
AI 中文摘要
近来，人们对利用大型语言模型驱动的人工智能（AI）进行天体物理学研究的方式感到相当不安，并且，假设这些AI在未来会变得更好，一些令人担忧的情况也被讨论。在一份“白皮书”中，Hogg认为，像允许AI撰写所有天体物理学论文或严格管控AI这样的极端情况都不是好的选择，并指出采取温和政策是困难的。我通过两个相当极端的假设来审视AI对天体物理学的影响：第一，现代天体物理学家越来越专注于发表论文的行政任务，而非物理发现的行动（天体物理学家忙于写论文而停止了做天体物理学）；第二，尽管AI具备综合文献和生成手稿的能力，但它们缺乏进行原创性天体物理学探究的内在能力（AI能写论文但不能做天体物理学）。我为采纳这些假设提供了一些合理的理由，但更重要的是，我推断这些假设的含义，以论证AI能对天体物理学产生非常积极的影响。通过将AI定位为发表的代理而非发现的代理，人类研究者的焦点可以被引导至基础天体物理学，从而推动该领域非常积极的增长。
英文摘要
In recent times there is considerable unease about the way Artificial Intelligence (AI) powered by large language models is used to do astrophysics, and, assuming that these AIs will get far better in future, several alarming situations are also discussed. In a ``white paper,'' Hogg argues that extreme cases like allowing AI to write all astrophysics papers or strictly controlling AI are not good choices and posits that it is difficult to adopt moderate policies. I examine the impact of AI on astrophysics by making two rather extreme assumptions: first, that the modern astrophysicist has become increasingly preoccupied with the administrative task of publication over the act of physical discovery (astrophysicists are busy writing papers and have stopped doing astrophysics); and second, that while AI possesses the capacity to synthesize literature and generate manuscripts, they lack the intrinsic ability to perform original astrophysical inquiry (AI can write papers but cannot do astrophysics). I provide some plausible reasons for adopting these assumptions, but, more importantly, extrapolate the implications of these assumptions to argue that AI can have a very positive impact on astrophysics. By situating AI as agents of publication rather than discovery, the focus of the human researcher can be directed towards fundamental astrophysics, leading to very positive growth in the field.
Comments8 pages, no figures
