both of these approaches use NFAs under the hood, which means O(m * n) matching. our approach is fundamentally different: we encode lookaround information directly in the automaton via derivatives, which gives us O(n) matching with a small constant. the trade-off is that we restrict lookarounds to a normalized form (?<=R1)R2(?=R3) where R1/R2/R3 themselves don’t contain lookarounds. the oracle-based approaches support more general nesting, but pay for it in the matching loop. one open question i have is how they handle memory for the oracle table - if you read a gigabyte of text, do you keep a gigabyte-sized table in memory for each lookaround in the pattern?
It's not all AI, though, and it seems at least Tinder has picked up on the "mutual friends" angle. Tinder's latest CEO, Spencer Rascoff, said last year he wanted to move away from its hookup reputation to attract Gen Z users. Soon after, Tinder introduced Double Date, a feature to swipe with your friend.
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Tied embed, shared RMSNorm vectors, RoPE (hd=2)。关于这个话题，heLLoword翻译官方下载提供了深入分析
Британского принца лишили титула за изнасилование. Почему Карл III принял беспрецедентное решение и что теперь будет с монархией?31 октября 2025