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Google DeepMind 把 AI 做科研的卡点讲透了——验证环节不够快，还给了四个方向，搞科研和投资的都该看看。
Google DeepMind 发文指出，AI 智能体已能完成从提出假设到设计实验的科学发现流程，但最困难的环节是将这些想法在真实世界中进行验证，形成日益严重的验证瓶颈。文章为政策制定者和资助者提出了四项优先事项，以破解这一瓶颈。核心建议包括完善仿真环境、建立标准化评估基准、鼓励开源验证框架以及调整资金支持模式。
原文 · Google DeepMind
From proposing hypotheses to designing experiments, AI agents are starting to reshape scientific dis...
From proposing hypotheses to designing experiments, AI agents are starting to reshape scientific discovery. But the hardest part is testing these ideas in the real world. Our essay explores the growing validation bottleneck and outlines four priorities for policymakers and funders. → goo.gle/4poACUT 💬 24 🔄 19 ❤️ 130 👀 15780 📊 35 ⚡