Over the past few days, Google’s Deepmind machine-learning team secretively put its AlphaGo artificial intelligence system onto two Chinese online board-game platforms to test its skill in fast-paced games against several of the world’s best Go players. As of Jan. 4, when the test was completed, AlphaGo had racked up 60 wins and no losses. The best any of the humans could muster was merely a tie, forced when a player went offline, which required the game be recorded as a tie. The millenia-old board game of Go had long been thought of being beyond the reach of artificial intelligence programs thanks to its notorious complexity. But AlphaGo’s sweeping wins, coming after its March victory over Korean Go champion Lee Sedol, have proved emphatically that AI could play the game at a level no human has, or likely ever could, attain. .....Ke had been confident that AlphaGo could not beat him after the AI’s March victory over Lee. But after his first two losses to “Master” in recent days, he acknowledged that humans are no match for AI in this game. His edge against AlphaGo in the top Go player ranking is left at just dozens of points.
Chinese meatbag shouldn't have messed with grorious roboto
Quote from: Jono on March 24, 2017, 06:53:13 PMFlash would still beat an AI regardlessThis is a game of strategy not speed
Flash would still beat an AI regardless