Claude 内部研究模型自主完成蛋白质设计项目，64 小时生成 31.8 万个设计
Claude 64小时自己搞出31.8万个蛋白质设计，实验室实测17个真的能用，AI科学家这回是真干活了。
Anthropic 的内部 Claude 研究模型在一个蛋白质设计项目中自主完成了大量工作：只需一个起始提示和 4 次追问，它在 64 小时内用专用工具生成了超过 31.8 万个蛋白质设计，并自行选择与蝎子毒素结合的附着位点及待测候选。实验室实际测试了 211 个候选（含人类辅助补充的部分），其中 17 个成功与目标毒素结合，成为可用的 binder 蛋白。整个项目中 Claude 负责选择研究路线、协调工具和决定哪些设计值得做物理实验。
Anthropic’s internal Claude research model carried out much of a research project on its own, with results confirmed in the lab. This is the beginning of autonomous AI scientists making their own discoveries.
Given a starting prompt and four follow-ups, Claude used specialized tools to generate more than 318,000 protein designs in 64 hours. It chose where they should attach to scorpion toxins and selected candidates for testing.
Labs tested 211 candidates, including additions made with human help. Seventeen successfully attached to their target toxins. These are "binders", small proteins that latch onto another molecule.
Claude handled a substantial stretch of research: choosing an approach, coordinating tools and deciding what deserved a physical experiment. From here on it only gets more autonomous. I am so excited!
