从中长期来看,纯粹押注 AI 颠覆一切的逻辑,和积极拥抱 AI 同时牢牢握住核心数据护城河的行业巨头,是两种截然不同的命运路径。前者的叙事更性感,后者的胜算或许更大。
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Yesterday, Axios reported that Hegseth gave Anthropic a deadline of 5:01 PM on Friday to agree to the Pentagon's terms. At the same time, the DoD requested an assessment of its reliance on Claude, an initial step toward potentially labelling Anthropic as a "supply chain risk" — a designation usually reserved for firms from adversaries like China and "never before applied to an American company," Anthropic wrote.,详情可参考WPS官方版本下载
a16z基础设施团队的合伙人Jennifer Li在Big Ideas报告里说了一句让很多人印象深刻的话:企业AI现在最大的瓶颈,不是模型不够聪明,而是自己的数据太乱。她用了一个词——"数据熵"。每家公司都淹没在PDF、截图、邮件、操作日志里,80%的企业知识以非结构化的形式散落在各个角落,从来没有被系统整理过。你买了最好的模型,搭了最贵的系统,但喂进去的是一团乱麻,出来的自然是错误和幻觉。