中韓資料互通養虎為患 李世石評新Alphago - 圍棋

By Sandy
at 2017-01-09T21:34
at 2017-01-09T21:34
Table of Contents
中韓對弈資料互通養虎為患 李世石評新AlphaGo
新浪體育訊 9日,韓tygem網對韓國新聞界爆料說,“和谷歌deepmind團隊一直保持緊
密的合作關係,為AlphaGo的發展不遺餘力提供了全面的支援。”即AlphaGo深度學習的“
人類棋譜”主要採集于韓tygem對弈,而這款對弈平臺與中國實現了資料互通,柯潔、范
廷鈺等中國職業棋手長年在此平臺與朴廷桓等韓國職業交流,為伺服器積累了大量的人類
頂級棋譜。AlphaGo實際去年3月人機大戰前就已“潛伏”在tygem平臺覓食,而tygem平臺
最終起到了“養虎為患”的作用。
去年12月16日,韓tygem新事業團隊接到谷歌deepmind公司黃士傑博士的電子郵件,
要求“註冊韓國國籍的帳號Magister(P),以測試新版AlphaGo”。黃士傑同時要求刪除
表明是英國籍的帳號“deepmind”,這一帳號是去年3月“人機大戰”前“潛伏”tygem平
臺的AlphaGo的馬甲,而且被明眼的棋友戳穿。而“deepmind”這一帳號的戰績也是不盡
人意,也沒有引起任何轟動效果。
Magister(P)去年12月29日至31日在tygem平臺出沒,每日十盤連克中韓頂尖棋手取
得三十連勝,旋即AlphaGo又穿上“Master”的馬甲出現在中國“野狐”平臺連戰三天取
得三十連勝,在中韓兩大對弈平臺橫掃人類職業棋手取得了“60:0”的戰績。
去年3月13日的“人機大戰”第四局,李世石靠“神之一手”戰勝了AlphaGo,這一局很
有可能成為人類面對AlphaGo在正式比賽上取得的唯一一盤勝局。李世石去年成為韓國棋
壇的“獎金王”,一年賺了8億韓元。年關之際,李世石又做出驚人舉動,向他的家鄉新
安郡的福利機構捐獻了5000萬韓元。李世石還指定“專款專用”,為飛禽面(飛禽島)
727口的低收入孤寡老人和殘疾人,100口低收入單親家庭和“多文化家庭(異國婚姻)”
置辦過冬的棉衣和被褥。
李世石也關注新版AlphaGo在網路對弈平臺橫掃中韓頂尖棋手的表現。李世石評價說
:“去年3月和我較量的AlphaGo,進入讀秒就會出現一些不穩,現在這一部分得到補強了
。現在職業棋手和新版AlphaGo在相同讀秒條件下比賽,就沒有勝算了。AlphaGo是機器,
所以不會出現失誤,但人類棋手在讀秒催促下很容易出現失誤。所以AlphaGo讀秒,而人
類棋手有2~3小時相對充裕的比賽用時的情況下比賽,那麼五盤中有機會贏一盤。”
此前,李世石在接受採訪時表態“支持柯潔至少贏兩局”。李世石說:“超越國籍,
我想支援後輩棋手柯潔。”
藍烈
http://sports.sina.com.cn/go/2017-01-09/doc-ifxzkfuh6428301.shtml
--
新浪體育訊 9日,韓tygem網對韓國新聞界爆料說,“和谷歌deepmind團隊一直保持緊
密的合作關係,為AlphaGo的發展不遺餘力提供了全面的支援。”即AlphaGo深度學習的“
人類棋譜”主要採集于韓tygem對弈,而這款對弈平臺與中國實現了資料互通,柯潔、范
廷鈺等中國職業棋手長年在此平臺與朴廷桓等韓國職業交流,為伺服器積累了大量的人類
頂級棋譜。AlphaGo實際去年3月人機大戰前就已“潛伏”在tygem平臺覓食,而tygem平臺
最終起到了“養虎為患”的作用。
去年12月16日,韓tygem新事業團隊接到谷歌deepmind公司黃士傑博士的電子郵件,
要求“註冊韓國國籍的帳號Magister(P),以測試新版AlphaGo”。黃士傑同時要求刪除
表明是英國籍的帳號“deepmind”,這一帳號是去年3月“人機大戰”前“潛伏”tygem平
臺的AlphaGo的馬甲,而且被明眼的棋友戳穿。而“deepmind”這一帳號的戰績也是不盡
人意,也沒有引起任何轟動效果。
Magister(P)去年12月29日至31日在tygem平臺出沒,每日十盤連克中韓頂尖棋手取
得三十連勝,旋即AlphaGo又穿上“Master”的馬甲出現在中國“野狐”平臺連戰三天取
得三十連勝,在中韓兩大對弈平臺橫掃人類職業棋手取得了“60:0”的戰績。
去年3月13日的“人機大戰”第四局,李世石靠“神之一手”戰勝了AlphaGo,這一局很
有可能成為人類面對AlphaGo在正式比賽上取得的唯一一盤勝局。李世石去年成為韓國棋
壇的“獎金王”,一年賺了8億韓元。年關之際,李世石又做出驚人舉動,向他的家鄉新
安郡的福利機構捐獻了5000萬韓元。李世石還指定“專款專用”,為飛禽面(飛禽島)
727口的低收入孤寡老人和殘疾人,100口低收入單親家庭和“多文化家庭(異國婚姻)”
置辦過冬的棉衣和被褥。
李世石也關注新版AlphaGo在網路對弈平臺橫掃中韓頂尖棋手的表現。李世石評價說
:“去年3月和我較量的AlphaGo,進入讀秒就會出現一些不穩,現在這一部分得到補強了
。現在職業棋手和新版AlphaGo在相同讀秒條件下比賽,就沒有勝算了。AlphaGo是機器,
所以不會出現失誤,但人類棋手在讀秒催促下很容易出現失誤。所以AlphaGo讀秒,而人
類棋手有2~3小時相對充裕的比賽用時的情況下比賽,那麼五盤中有機會贏一盤。”
此前,李世石在接受採訪時表態“支持柯潔至少贏兩局”。李世石說:“超越國籍,
我想支援後輩棋手柯潔。”
藍烈
http://sports.sina.com.cn/go/2017-01-09/doc-ifxzkfuh6428301.shtml
--
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