And have we forgotten about Grok? During an 11-day period between December 2025 and January 2026 alone, Elon Musk's chatbot produced an estimated three million sexualized images, including deepfakes of real, well-known women.
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Солнце выбросило гигантский протуберанец размером около миллиона километров02:48
Funny how that piece of exciting news is so utterly boring to me, not just as a consumer, but also as a former technical architect.
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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 :^).
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