然而，这里埋藏着一个巨大的争议——隐私。从用户体验角度，AI眼镜最大的争议点之一就是隐私问题。当你戴上眼镜看世界时，眼镜也在看你身边的一切。偷拍风险、数据收集、第三视角的知情权……
Single-pass MLP。关于这个话题，搜狗输入法2026提供了深入分析
Open-source skills can save your career when AI comes knocking，这一点在51吃瓜中也有详细论述
NFAs are cheaper to construct, but have a O(n*m) matching time, where n is the size of the input and m is the size of the state graph. NFAs are often seen as the reasonable middle ground, but i disagree and will argue that NFAs are worse than the other two. they are theoretically “linear”, but in practice they do not perform as well as DFAs (in the average case they are also much slower than backtracking). they spend the complexity in the wrong place - why would i want matching to be slow?! that’s where most of the time is spent. the problem is that m can be arbitrarily large, and putting a large constant of let’s say 1000 on top of n will make matching 1000x slower. just not acceptable for real workloads, the benchmarks speak for themselves here.