铸造厂与导航者：降低科学研究的成本
原标题：Foundries vs Navigators: Lowering the Cost of Science
AI 摘要
Latent Space 客座文章讨论 AI 如何改变科学研究。作者 Adrian Sanborn 以 Endura Therapeutics 为例，提出生物技术公司分化为两类：Foundries 通过新一代测序、多重检测、高通量显微和物理自动化降低实验成本、加速数据生成；Navigators 则把 AI 嵌入公司日常流程，加快决策与迭代。文章认为，代码生成变快让实验分析能随协议快速调整，科学家可直接呈现结果，自建数据门户也能表达实验室自身需求，从而提升科学研究的整体速度。
正文节选
What does the future of science look like in the world of AI? Anthropic has some lofty goals for science and is even opening a wet lab. Meanwhile a quiet transformation1 is happening all across AI x Science. In this guest post, Adrian Sanborn talks about the less flashy but more immediate ways he sees AI transforming front-line scientific research in his own company, Endura Therapeutics. Adrian did a CS PhD at Stanford and spent much of it running experiments at the bench, which makes him one of