One of the most common mistakes I see enterprise AI teams make is building for today’s model capabilities and price points. Think 6 months out. Models will be way smarter and cheaper. Scaffold around today’s model weaknesses to push the frontier. Bet that the next generation of models will natively solve for the scaffold. Push the frontier again. Build for the slope. Over time, that ability to repeatedly identify and bridge model gaps becomes a moat of its own.
我看到企业 AI 团队最常犯的错误之一，就是按照当下模型的能力和价格点来做构建。要把眼光放到 6 个月之后。模型会聪明得多，也便宜得多。围绕当今模型的弱点搭建 scaffold（脚手架式补强），以推动前沿。要押注下一代模型会原生解决这些 scaffold 所针对的问题。然后再次推动前沿。要为这条斜率而构建。随着时间推移，这种反复识别并弥合模型缺口的能力，本身就会成为一种 moat（护城河）。