留意事態發展的阿儀說，「最乞人憎的位置是你不知道原因，令大家『白色恐怖』、自我審查，開始越來越害怕：如果遲些這套戲有個演員，找了他會否上（映）不到又會被打壓，它是在做出這個氛圍。」
we assign a minterm id to each of these classes (e.g., 1 for letters, 0 for non-letters), and then compute derivatives based on these ids instead of characters. this is a huge win for performance and results in an absolutely enormous compression of memory, especially with large character classes like \w for word-characters in unicode, which would otherwise require tens of thousands of transitions alone (there’s a LOT of dotted umlauted squiggly characters in unicode). we show this in numbers as well, on the word counting \b\w{12,}\b benchmark, RE# is over 7x faster than the second-best engine thanks to minterm compressionremark here i’d like to correct, the second place already uses minterm compression, the rest are far behind. the reason we’re 7x faster than the second place is in the \b lookarounds :^).
。关于这个话题，PDF资料提供了深入分析
我想即便这些措施涵盖了各个领域的假消息，实际的成效恐怕也并不乐观。毕竟，用户可以轻松地使用其他账户重新发布，而平台的内容审核，远远赶不上假图传播的速度。
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