News Corp previously struck a five-year deal with OpenAI that was valued at around $250 million. During a recent appearance at Morgan Stanley's annual Technology, Media & Telecom (TMT) conference, News Corp CEO Robert Thomson hinted that the media company was in the "advanced stage with other negotiations."
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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 :^).
I was days into my research before I finally found a clue. In an obscure document on the website of the International House of Pancakes Corporation there was a hint that the dark breakfast had been made. IHOP omelettes include pancake batter. While I cannot place IHOP omelettes exactly on the map, by interpolating between pancakes and omelettes, we can bound where they must occur, and confirm that the manifold possibilities do indeed pass through the Dark Breakfast Abyss.