評論
打印
My friend Jaan Tallinn likes to point out that just as with rocketry, it's not enough to make our technology powerful.
我的朋友揚(yáng)·塔林常說，這就像是火箭學(xué)一樣，只讓我們的科技擁有強(qiáng)大的力量是不夠的。
We also have to figure out, if we're going to be really ambitious, how to steer it and where we want to go with it.
如果我們有足夠的雄心壯志，就應(yīng)當(dāng)想出如何控制它們的方法，希望它朝著怎樣的方向前進(jìn)。
So let's talk about all three for artificial intelligence: the power, the steering and the destination.
那么對于人工智能，我們先來談?wù)勥@三點(diǎn)：力量，操控和目的地。
Let's start with the power. I define intelligence very inclusively
我們先來說力量。我對于人工智能的定義非常全面，
simply as our ability to accomplish complex goals, because I want to include both biological and artificial intelligence.
就是我們能夠完成復(fù)雜目標(biāo)的能力，因?yàn)槲蚁氚焉飳W(xué)和人工智能都包含進(jìn)去。
And I want to avoid the silly carbon-chauvinism idea that you can only be smart if you're made of meat.
我還想要避免愚蠢的碳沙文主義的觀點(diǎn)，即你認(rèn)為如果你很聰明，你就一定有著肉身。
It's really amazing how the power of AI has grown recently. Just think about it.
人工智能的力量在近期的發(fā)展十分驚人。試想一下。
Not long ago, robots couldn't walk. Now, they can do backflips.
甚至在不久以前，機(jī)器人還不能走路呢。現(xiàn)在，它們居然開始后空翻了。
Not long ago, we didn't have self-driving cars. Now, we have self-flying rockets.
不久以前，我們還沒有全自動駕駛汽車。現(xiàn)在，我們都有自動飛行的火箭了。
Not long ago, AI couldn't do face recognition.
不久以前，人工智能甚至不能完成臉部識別。
Now, AI can generate fake faces and simulate your face saying stuff that you never said.
現(xiàn)在，人工智能都開始生成仿真面貌了，并模擬你的臉部表情，說出你從未說過的話。
Not long ago, AI couldn't beat us at the game of Go.
不久以前，人工智能還不能在圍棋中戰(zhàn)勝人類。
Then, Google DeepMind's AlphaZero AI took 3,000 years of human Go games and Go wisdom,
然后，谷歌的DeepMind推出的AlphaZero就掌握了人類三千多年的圍棋比賽和智慧，
ignored it all and became the world's best player by just playing against itself.
通過和自己對戰(zhàn)的方式輕松秒殺我們，成了全球最厲害的圍棋手。
And the most impressive feat here wasn't that it crushed human gamers,
這里最讓人印象深刻的部分，不是它擊垮了人類棋手，
but that it crushed human AI researchers who had spent decades handcrafting game-playing software.
而是它擊垮了人類人工智能的研究者，這些研究者花了數(shù)十年手工打造了下棋軟件。
And AlphaZero crushed human AI researchers not just in Go but even at chess, which we have been working on since 1950.
此外，AlphaZero也在國際象棋比賽中輕松戰(zhàn)勝了人類的人工智能研究者們，我們從1950年就開始致力于國際象棋研究。
