Nie Weiping: AlphaGo can not teach chess because of the high cost of losing beauty

“Weiqi” Nie Weiping continued to be a guest TV interview program last night. He continued to disclose some of AlphaGo's lesser-known insiders. He believes that AlphaGo's chess is only for efficiency but does not pursue chess shape and beauty like humans do. Therefore, AlphaGo has lost a lot of fun playing chess. When the host asked whether he would let his disciples learn from Go with AlphaGo, Nie Weiping said: "This is not realistic, because the cost of the next game played by AlphaGo exceeds our imagination." Nie Weiping first disclosed that in his previous contacts with Google's top management, he learned that AlphaGo and the latest alias, Master, will use the artificial intelligence software that will play Go. The strategy for playing chess is not to pursue an absolute strategy to win the opponent, but each time. When choosing, choose a 51% strategy that will help him win the game. Nie Weiping said: “Last year it was watching the war with Li Shishi. It was mainly to learn about human beings. There was a lot of inhuman tricks in this game of Master. Some of us don't think good move, it came out, but it can win the game with strong strength. This is what it's good at." For example, Nie Weiping said: "For example, we first point the star position and then the other party directly Point three or three, this is not possible under the (high-end professional player), we think that this is not good, but the Master is down. It does not care about the local too much gain when making a choice at each step. , as long as the overall situation can ensure the winning choice, it will go.Goal under artificial intelligence, it is now thinking and the overall situation I see above us.It makes pure choices every time. The clan is based on a percentage." The host Mr. Dou asked if he was playing chess with a computer and he lacked the fun of playing the Japanese game with the Japanese players in the 1980s. At that time, the aesthetics of Otake’s hero and the “cosmic flow” Nie Weiping, who is very much in pursuit of chess, and who played with Master, said: "These fun are gone. I didn't think about winning or losing at the time of the tournament, but I thought about how I could play well, and defend myself." The player, especially Japan's many super-classes, is very characteristic. But now this artificial intelligence only calculates how to win you, does not consider the beauty of chess and other issues, and it is also impossible to consider them." The development of smart points is changing with each passing day. The host introduced that Japanese scientists predict that artificial intelligence will fully surpass humanity after 2030. The presenter also mentioned the three laws of Asimov’s robots mentioned in the author’s comments a few days ago. Asimov’s science fiction was written on the basis of the era of industrialization when he proposed the three laws. Yes—First, the robot must not injure people, nor should they see people stand in harm's way and stand by. 2. The robot should obey all human orders, but it must not violate the first law; 3. The robot should protect its own safety, but it must not violate the first The second law. But the moderator proposed that the latest research on artificial intelligence shows that artificial intelligence will eventually surpass humanity as long as the algorithm is described as behavior. If artificial intelligence has autonomous emotions, it will be a terrible thing. However, Nie Weiping and another guest believe that currently artificial intelligence is in the field of Go. Even if it is very powerful, it does not have a sense of victory or defeat itself. For the time being, it only has the feeling of optimal choice for each step of the game. There is still a big gap between this kind of self-awareness and emotion. The host asked Nie Weiping whether he would let his disciples learn Go with AlphaGo later. Nie Weiping said that the possibility of AlphaGo coming out as a Go teacher is almost zero because AlphaGo spends more money per game than our average person imagines. It is this time that it has achieved a 60-game winning streak against human top Go players. Each test game also uses thousands of computers in auxiliary calculations.

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