但问题是，真机数据从哪来？只能从实际场景里来。这就是一个典型的“鸡生蛋蛋生鸡”困境：没有足够的数据，机器人就干不了活；干不了活，就没法大规模部署；没有大规模部署，就收集不到足够的数据。
the key ingredients were Brzozowski derivatives, minterm compression, lazy DFA construction without NFAs, and encoding context awareness directly into states. most of these ideas aren’t individually new - the magic is in the matching algorithm that puts them together in a way that is correct, fast and practical.
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