AlphaGo所创制的全新围棋策略标志着人工智能已准备好投入科学研究应用
AlphaGo创造出前所未见的围棋策略——尽管围棋拥有逾2000年历史且历经数百年职业对弈——这一事件对德米斯·哈萨比斯而言具有里程碑意义，证实了人工智能具备真正的原创能力，并由此促成了AlphaFold项目的启动。
支持这项说法
它不仅赢得了2016年对阵李世石的比赛，还创造了著名的全新策略，这些策略前所未见，尽管我们一直在下围棋。围棋是人类发明的最古老的游戏，已有2000多年历史，并且已被职业化地下了数百年，而我们此前并未发现那些策略。
原始摘录
not only did it win the match against Lee Sedol in 2016, it also created famously new strategies that had never been seen before, even though we’ve played Go. Go is the oldest game humanity has invented, it’s 2000 plus years old, and been played professionally for hundreds of years, and we hadn’t discovered those strategies.
上下文
这更多关乎我们本会采取的方法，那可能是一种非常有趣的算法方法，或许也有望推广到其他领域。AlphaGo的结果正是如此，而它的发展真的超出了我们最大胆的想象。所以这对我来说是双重冲击。我一直在等待AI能够提出某种新颖事物的那一刻，创造力还有更多层次，但除此之外，至少它是一个新颖的想法。对我而言，那正是我一直在等待的、随后开始将AI用于科学的契机。所以我们从SOL一回来，就启动了AlphaFold项目。
原始上下文
It was more about the approach we would have taken would probably be a really interesting algorithmic approach and maybe and hopefully would generalize to other domains. And that’s what turned out with AlphaGo and then it went beyond our wildest dreams really because So that was double whammy for me. I was waiting for that moment that AI was able to come up with something novel and there’s more levels of creativity than that, but beyond that, but at least it was a novel idea. And then that was for me was what I was waiting for to then start using AI for science. So the moment we got back from SOL, we started the AlphaFold project.