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Li Xiang's extended conversations with founders, investors, and business operators about personal choices, company growth, and lived experience in business.
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Vol.230 产业观察43｜AI for Science 如何在制药化学合成落地？
夏宁称，化学合成AI已达到“十年工作经验化学家”水平，五分钟可跑出客户耗时一两个月设计的路线。合成是DMTA循环瓶颈，若提速十到二十倍，新药和新材料研发通量或提高十到二十倍。商业化需白盒解释、验证和约束，并持续用智能调度压低token成本；SaaS与智能体将长期共存。