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  • Hey I'm Becca with the Verge.

    嘿我是 the Verge 的 Becca。

  • And it seems like all I'm hearing about lately is...


  • Artificial intelligence.


  • Artificial intelligence.


  • Artificial intelligence.


  • It's all about artificial intelligence.


  • I think it's time we talk about AI.

    我想是時候來談談 AI 了。

  • Okay, I love my Google Assistant.

    我必須說我超愛我的 Google 助理。

  • And I even say goodnight to it.


  • Which is mildly embarrassing.


  • But I'm here for it because then it tells me the weather for tomorrow.


  • And it plays cricket sounds which I think are actually helping me sleep better.


  • And it's also getting to know me, right.


  • So it tells me when the train's gonna leave in the morning, and it's even recommending songs I might like.


  • And for a long time companies have been pushing this off as artificial intelligence.


  • Which I always thought of as a marketing term.


  • Like I don't think we think that Siri is intelligent.

    我並不認為人們覺得 Siri 有智慧。

  • But then Google showed us this.

    但後來 Google 發布了這樣的成果。

  • That's the voice of Google Assistant making calls for you.

    那是 Google 助手為你打電話的聲音。

  • This made me think that maybe artificial intelligence is closer to replicating human intelligence than I thought.


  • So I called James Vincent.

    於是我打電話給 James Vincent。

  • And he's a reporter here at the Verge that covers all things AI.

    他是 the Verge 這邊的記者,負責一切關於 AI 的報導。

  • I wanted to know were AI is right now and where it's going.

    我想了解 AI 現在的近程以及未來的走向。

  • So AI as a field is a term, it's sort of an umbrella and it includes lots of different types of AI that kind of come into fashion over the years, and then they test them, they get to the limitations and they move on to the next one.

    AI 是個概括性的詞彙,包含各種不同類型的 AI,在這幾年才慢慢流行起來,經過不斷測試、推展技術限制、推進到下一項挑戰。

  • And the thing that's very much dominate in the field at the moment is machine learning.

    而目前 AI 領域最核心的發展就是機器學習。

  • Which is all about giving a system a lot of data.


  • And then it goes through that data.


  • And it learns the patterns within it.


  • And then a flavor of machine learning is what's called deep learning.


  • Deep learning is basically, you know, basically machine learning but it uses a lot of data.


  • And it uses a lot of computing power.


  • Which we now have access thanks to the internet and thanks to cheaper chips.


  • Okay James, real talk though.

    好 James,嚴肅的部分差不多到這裡吧。

  • Have you seen Terminator?

    妳看過《 魔鬼終結者》嗎?

  • I mean how close are we to the Skynets of the world?


  • Like is that coming?


  • It's not really.


  • I mean, so what you get in films, popular culture.


  • That is what's usually called artificial general intelligence.


  • Which is a huge step forward from what we got at the present moment.


  • So AI is a field, it was kind of founded on this belief you could build computers that were just humans essentially.

    AI 這個領域的發展基礎是渴望打造能夠媲美人類的電腦。

  • That just kind of thought like humans, acted, reacted like humans.


  • And as it's gone on we've kind of realized that oh wait no no this is a really difficult task,


  • And we're not near it basically.


  • So while Google Duplex sounds very human.

    所以即使 Google Duplex 聽起來就像人類。

  • It's actually what we call narrow AI.


  • Now at the moment everything that's being sold to you as AI is narrow AI.

    現在市面上所有 AI 商品都是運用狹義人工智慧。

  • And it was built under a limited predetermined set of functions.


  • It pops up on your phone.


  • Your Google Home or your Echo.

    你要用的 Google Home 或 Echo。

  • And it's how Facebook recognizes your face.

    它也讓 Facebook 辨認你的臉。

  • And automatically takes photos of you.


  • This form of AI is designed to complete very specific tasks, and it's incapable of doing anything else.

    這種形式的 AI 被設計成完成特定一項任務,對於其他任務則無能為力。

  • Now that doesn't mean it can't do impressive things.


  • Take for example Deep Mind's Alpha Go.

    以 Deep Mind 公司開發的 Alpha Go 為例。

  • Which is an AI program trained to play the game Go.

    它是一個 AI 程式,專門被設計來玩 Go 這個遊戲。

  • Now Go is like a strategy game, sort of like chess, except it has way more possible outcomes.

    Go 是一種策略遊戲,有點像下棋,然而 Go 有更多樣的可能結果。

  • And in 2016, the AI system battled against legendary Go player Lee Sedol defeating him four to one.

    在 2016 年,該系統對戰傳奇性的 Go 玩家李世乭,並以四比一的比數擊敗對方。

  • And in 2017, Deep Mind retired the AlphaGo AI after it defeated the world's best Go player, three to zero.

    2017 年以三比零的比數擊潰 Go 的全球冠軍選手之後,Deep Mind 讓 AlphaGo AI 退役。

  • But I'd like to point out that this program AlphaGo would continue playing Go even if the building it was in was on fire.

    但別忘了 AlphaGo 這個程式會持續進行遊戲,即便所處的建築物失火了。

  • Even if the room was on fire.


  • That's Dr. Oren Etzioni.

    這位是 Oren Etzioni 博士。

  • CEO of Allen Institute for Artificial Intelligence and professor at the University of Washington in Seattle.


  • It's an excellent symbol because it shows that in these very narrow, very well structured tasks.


  • Like a board game.


  • We can achieve superhuman performance.


  • But on things that are more nuanced.


  • Things that have to do with language.


  • We are actually very far from even the abilities of a child.


  • So common sense could be thought of as the missing link between AI and AGI.

    換言之,人類常理可能是狹義 AI 與通用 AI 之間的重要分水嶺。

  • And when referring to common sense.


  • We're referring to the whole range of capabilities that humans have and computers just don't.

    指的是所有一切人類所具備、 電腦卻缺乏的心智功能。

  • Dr. Etzioni is one of many researchers that are working on programs to teach computers common sense.

    Etzioni 博士是許多正教導電腦人類常理的研究者之一。

  • But within the community there's a large debate over whether these smarter computers could be dangerous.


  • Today narrow AI is being used to solve very real, very serious problems like helping doctors diagnose cancer, or predicting future weather disasters.


  • But it's also being used for things that people find worrying and that's understandable.


  • I mean these are things like facial recognition for mass surveillance or augmenting weapons.


  • Which raises the question.


  • How if at all is AI going to be regulated?


  • This world evolves so rapidly that it's very hard to put these policies in place.


  • What I would suggest instead is that we identify applications of AI.


  • For example, AI cars or AI weapons.

    例如 AI 車輛或武器。

  • And that we define very careful regulations around those specific applications.


  • So yeah I was creeped out by Google Duplex.

    所以的確我有被 Google Duplex 嚇到。

  • But it's nowhere near the AI we have in the movies.

    但它離電影裡的 AI 還有大段差距。

  • This is very specific pointed AI.

    我們談的是非常精確狹義的 AI。

  • And when that's applied to security or weapons.


  • It can be scary but all we can do is educate ourselves.


  • And be in the know about what AI we have right now.


  • And maybe where it's going.


  • These are still early days, and we should assess the exuberance people have and some of the fears that they have with a note of caution and skepticism.


  • If you want to know what AI can really do and what it can't, just have a chat with Siri and Alexa.

    如果你想知道 AI 能否做到某件事,只要去跟 Siri 和 Alexa 聊聊。

  • And you'll quickly see where reality stops and the hype begins.


  • Hey thanks for watching.


  • Let us know on the comments below your favorite uses of AI so far.

    請在留言區分享你最喜歡的 AI 應用。

  • What's helping you on your day to day?


  • And thanks for two million subscribers.

    同時也感謝我們有了 200 萬名訂閱者。

  • That's hella cool and I'll see you next time.


Hey I'm Becca with the Verge.

嘿我是 the Verge 的 Becca。

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