原文开头
Analysis finds that AI both expands individual impact and narrows collective scientific exploration CELINA ZHAO A s tools such as ChatGPT spread across business and academia, one refrain is hard to escape: Artificial intelligence won’t replace you, but someone using AI might. A paper published last week in Nature suggests this divide is already creating winners and laggards. The new analysis, the largest of its kind, finds that scientists embracing any type of AI—from early machine learning to modern large language models—publish more papers, receive more citations, and reach leadership roles faster than their peers. But science as a whole is paying the price, the study suggests. …
摘自《科学》(Science)第391卷 第6783期 · 2026年1月22日,Celina Zhao。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。