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Michael Egorov
@newmichwill
Curve and Yield Basis /
๊ฐ€์ž… November 2013
543 ํŒ”๋กœ์ž‰ ์ค‘    43.3K ํŒฌ
Noooo not ecdsa, not my bitcoins please ๐Ÿ˜ญ
The complexity theory result is actually huge. P problems can be solved in polynomial time. It was widely believed that NP-complete problems require exponential time. P = NP states that NP-complete problems can be solved in polynomial time. OpenAI didn't prove that. But, they proved that (some) NP-complete problems can be solved faster than exponential time, meaning: - P = NP, or - the complexity of NP problems is a "middle thing" between polynomial and exponential, eg. O(n^log n) If it survives peer reviews, this could be one of the biggest CS breakthroughs in decades.
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