AI for Science

AI 已经深刻影响工作方式，但尚未实现完全自动化；高手用 AI 的关键在于工具选择与技能积累，而创业投资机会正向两极分化。

Thomas Wolf is excited about the extension of Terminal-Bench to scientific fields, known as Terminal-Bench Science. This benchmark evaluates AI models' ability to control tools via the command line to achieve scientific goals. It's open for contributions of real scientific workflows until August 2026, aiming to improve AI models' assistance in research work.

尹希以学术休假身份加入OpenAI，推动AI与理论物理交叉研究，称AI可复制人类智力极限，加速科研百倍。

PerfectBit AI 创建了通过构建保证正确性的高质量训练数据，用于 LLMs、机器人和科学 AI 等领域。