Artificial intelligence compels the astronomy community to rethink research identity and redefine excellence

IF 14.3 1区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS Nature Astronomy Pub Date : 2025-02-28 DOI:10.1038/s41550-025-02510-0
Yuan-Sen Ting
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Abstract

The adage that ideas are cheap in astronomy, with execution being paramount, may already be obsolete. The impact of large language models (LLMs) on research looms on the horizon, compelling the astronomy community to reevaluate the very metrics of merit, the definition of research identity and methodology, and the foundations of education.

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人工智能迫使天文学界重新思考研究身份,重新定义卓越
在天文学中,思想是廉价的,执行是最重要的,这句谚语可能已经过时了。大型语言模型(llm)对研究的影响逐渐显现,迫使天文学界重新评估价值指标,研究身份和方法的定义,以及教育的基础。
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Nature Astronomy
Nature Astronomy Physics and Astronomy-Astronomy and Astrophysics
CiteScore
19.50
自引率
2.80%
发文量
252
期刊介绍: Nature Astronomy, the oldest science, has played a significant role in the history of Nature. Throughout the years, pioneering discoveries such as the first quasar, exoplanet, and understanding of spiral nebulae have been reported in the journal. With the introduction of Nature Astronomy, the field now receives expanded coverage, welcoming research in astronomy, astrophysics, and planetary science. The primary objective is to encourage closer collaboration among researchers in these related areas. Similar to other journals under the Nature brand, Nature Astronomy boasts a devoted team of professional editors, ensuring fairness and rigorous peer-review processes. The journal maintains high standards in copy-editing and production, ensuring timely publication and editorial independence. In addition to original research, Nature Astronomy publishes a wide range of content, including Comments, Reviews, News and Views, Features, and Correspondence. This diverse collection covers various disciplines within astronomy and includes contributions from a diverse range of voices.
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