从结果来看,开源大大降低了开发者的使用门槛,这也是Kimi能够快速接住这一波OpenClaw开发流量的主要原因,关键时候,Kimi能在市场上冲得更快。
2026年主流生成式AI工具与创收路径分析
,这一点在91视频中也有详细论述
This started with Addition Under Pressure, where I gave Claude Code and Codex the same prompt: train the smallest possible transformer that can do 10-digit addition with at least 99% accuracy. Claude Code came back with 6,080 parameters and Codex came back with 1,644. The community has since pushed this dramatically lower.
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