李开复TED英文演讲：AI和人类将来会如何共处
李开复认为，在这场人工智能摧毁工作的浩劫中，唯有创造性工作才能从中全身而退。人类将面临的最大考验并非是失去工作，而是失去生活的意义。下面是小编为大家收集关于李开复TED英文演讲：AI和人类将来会如何共处，欢迎借鉴参考。
李开复TED双语版
I'm going to talk about how AI and mankind can coexist, but first, we have to rethink about our human values. So let me first make a confession about my errors in my values.
我将会谈谈人工智能和人类如何能够共存， 但首先，我们需要重新思考人文价值。 所以首先让我承认我价值观中的错误。
It was 11 o'clock, December 16, 1991. I was about to become a father for the first time. My wife, Shen-Ling, lay in the hospital bed going through a very difficult 12-hour labor. I sat by her bedside but looked anxiously at my watch, and I knew something that she didn't. I knew that if in one hour, our child didn't come, I was going to leave her there and go back to work
and make a presentation about AI to my boss, Apple's CEO. Fortunately, my daughter was born at 11:30 --
那时是1991年12月16日的11时。 我即将首次成为父亲。 我的妻子，申玲，躺在病床上 经历着一段艰辛并为时12小时的分娩。 我坐在床边 但却焦虑地望着我的手表， 而我知道一些她不知道的事。 我知道如果在一小时内， 我们的孩子还未出生， 我将要将她留在那里 并去上班 并向我的老板，苹果的首席执行官 呈现个有关人工智能的陈述。 幸运的是，我的女儿在11:30出生了--
sparing me from doing the unthinkable, and to this day, I am so sorry for letting my work ethic take precedence over love for my family.
为我免去了要做难以想象的事的需要， 而一直到今天，我为我优先工作伦理 于对我家人的爱之上感到抱歉。
My AI talk, however, went off brilliantly.
然而，我人工智能的呈现， 进行得非常好。
Apple loved my work and decided to announce it at TED1992, 26 years ago on this very stage. I thought I had made one of the biggest, most important discoveries in AI, and so did the "Wall Street Journal" on the following day.
苹果喜欢我的作品，并决定在TED1992上将其宣布， 20xx年前就在这个台上。 我以为我做了在人工智能领域内 其中一个最重大的发现， 第二天“华尔街日报”也是这么认为。
But as far as discoveries went, it turned out, I didn't discover India, or America. Perhaps I discovered a little island off of Portugal. But the AI era of discovery continued, and more scientists poured their souls into it. About 10 years ago, the grand AI discovery was made by three North American scientists, and it's known as deep learning.
但随着越来越多的发现， 结果是， 我并没有发现印度或是美洲。 或许我发现的是葡萄牙附近的一个小岛。 但是人工智能的发现时代持续了下去， 而越来越多的科学家全心全意地投入其中。 大约20xx年前，三名北美科学家 做出了重大的人工智能发现， 那就是深度学习。
Deep learning is a technology that can take a huge amount of data within one single domain and learn to predict or decide at superhuman accuracy. For example, if we show the deep learning network a massive number of food photos, it can recognize food such as hot dog or no hot dog.
深度学习是个能在单一域名中取得大量资料 并用超人的精确度 来学习以作出预测或决定的科技。 例如，如果我们向深度学习网络显示 非常大量的食物照片， 它可以辨认出 例如有热狗或没有热狗的食物。
Or if we show it many pictures and videos and sensor data from driving on the highway, it can actually drive a car as well as a human being on the highway. And what if we showed this deep learning network all the speeches made by President Trump? Then this artificially intelligent President Trump, actually the network --
或如果我们向它显示许多 在高速公路上行驶的影片和传感器数据， 它其实可以与人类媲美 在高速公路上开车。 若我们向这深度学习网络显示 所有特朗普总统所发表过的演说呢? 这人工智能的特朗普总统， 其实是该网络--
can --
可以--
You like double oxymorons, huh?
你喜欢双重矛盾修辞法，对吧?
So this network, if given the request to make a speech about AI, he, or it, might say --
所以此网络，若被要求发表一场 关于人工智能的演说的话， 他，或它，或许会说--
(Recording) Donald Trump: It's a great thing to build a better world with artificial intelligence.
能运用人工智能来建立 一个更完美的世界是个很美好的事情。
Kai-Fu Lee: And maybe in another language?
或许用另一个语言来说?
DT: (Speaking Chinese)
人工智能正在改变世界
KFL: You didn't know he knew Chinese, did you?
你们并不知道他会说中文吧?
So deep learning has become the core in the era of AI discovery, and that's led by the US. But we're now in the era of implementation, where what really matters is execution, product quality, speed and data. And that's where China comes in. Chinese entrepreneurs, who I fund as a venture capitalist, are incredible workers, amazing work ethic. My example in the delivery room is nothing compared to how hard people work in China. As an example, one startup tried to claim work-life balance: "Come work for us because we are 996." And what does that mean? It means the work hours of 9am to 9pm, six days a week. That's contrasted with other startups that do 997.
所以深度学习成为了人工智能发现时代的核心， 并由美国领导着。 但我们现在身处于实践
时代， 被看重的是实行、产品质量、速度和数据。 这就是中国被牵涉其中的时候了。 中国企业家， 我为这些斗胆的资本家提供资金， 他们是非凡的员工， 有非常棒的工作伦理。 我在产房的例子与中国人工作用功的程度 相比之下不算什么。 例如，有个新公司声称工作与生活的平衡： “加入我们吧，因我们是996。” 那是什么意思呢? 那表示的是上午9时至晚上9时、 每周六天的工作时间。 这与其他实施997的新公司形成对比。
And the Chinese product quality has consistently gone up in the past decade, and that's because of a fiercely competitive environment. In Silicon Valley, entrepreneurs compete in a very gentlemanly fashion, sort of like in old wars in which each side took turns to fire at each other.
而在过去的十年中， 中国制的产品质量在持续地提升， 这归功于具有极其竞争力的环境。 在硅谷，企业家用非常绅士的方式来竞争， 有点像是旧时的战争 双方轮流向对方发火。
But in the Chinese environment, it's truly a gladiatorial fight to the death. In such a brutal environment, entrepreneurs learn to grow very rapidly, they learn to make their products better at lightning speed, and they learn to hone their business models until they're impre
gnable. As a result, great Chinese products like WeChat and Weibo are arguably better than the equivalent American products from Facebook and Twitter.
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