17 Matching Annotations
  1. Apr 2026
    1. The central question is not whether AI can imitate human conversation, but whether it can participate in the production of publishable scientific knowledge at a level comparable to a recognized human contributor.

      大多数人认为AI科学贡献的衡量标准是其模仿人类对话的能力,而作者认为真正的标准应该是AI能否产生可发表的、相当于人类贡献者的科学知识。这一观点重新定义了AI科学成功的标准,挑战了当前AI评估的主流范式。

    2. The application of LLMs in science is already underway... We believe that AI will ultimately bring a fundamental big change to scientific research across disciplines.

      大多数人认为AI在科学研究中只是辅助工具,而作者认为AI将从根本上改变科学研究的结构和方式。这一观点与主流认知相悖,因为它暗示AI不仅是提高效率的工具,而是会重塑科学发现、合作和发表的本质。

  2. May 2023
  3. Nov 2021
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