跟读练习: [Học tiếng Anh THẬT] Elon Musk - Future, AI - 通过YouTube学习英语口语
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So what is life for you?
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So what is life for you?
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I mean, you look at our life,
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and I heard you before speaking.
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Is it a dream?
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Is it a dream?
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Is it a million D?
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What is life for Elon Musk?
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I find as I get older,
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I find that question to be maybe more and more confusing or troubling or uncertain.
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I think particularly when you see the advancement of something like video games.
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You know, like say 40 years ago, you had video games.
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The most advanced video game would be like Pong,
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where you had like two rectangles and a dot.
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You're like batting it back and forth.
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I played it.
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Oh yeah, me too, exactly.
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That's all.
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Exactly.
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It sort of dates you a little bit.
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But yeah, we both played the same game.
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And that was like, wow,
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that was a pretty fun game at the time.
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But now you can see a video game that's photorealistic,
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almost photorealistic, and millions of people playing simultaneously.
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And you see where things are going with virtual reality and augmented reality.
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And if you extrapolate that out into the future with any rate of progress at all,
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like even 0.1% or something like that a year,
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then eventually those games will be indistinguishable from reality.
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They'll be so realistic, you will not be able to tell the difference between
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that game and the reality as we know it.
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And then it seems like,
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well, how do we know that that didn't happen in the past,
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and that we're not in one of those games ourselves?
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Interesting.
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Interesting.
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I mean, could be.
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Everything is possible in life.
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I mean, there's...
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I mean, yeah, particularly things seem to be accelerating to something.
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Isn't it?
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I mean, if we look at our life,
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it seems in the past 100 years,
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life has been accelerating quite fast.
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Yeah.
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In the past 20, much faster.
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It's getting faster and faster.
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Is it more slow?
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So my question is really,
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how life will be in air 20,
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30, 50 years from now, our education, our transport?
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How do you see it?
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Well, I think this is one of those things that's quite difficult to predict.
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When you think of, say,
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the first controlled powered flight was 1903 with the Wright brothers.
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And then 66 years later,
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we put the first people on the moon.
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I mean, if you'd asked people,
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say, in 1900, what are the odds of man landing on the moon,
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they would have said, that's ridiculous.
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And if you try to talk to them about the internet,
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They would not even know what the heck you're even talking about.
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Like, this sounds so crazy.
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But today, with a $100 device,
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you can video conference with anyone in the world.
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On the other side of the world.
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And if you have a Wi-Fi connection, it's basically free.
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Free to have an instant visual communication with anyone,
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or even with millions of people.
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With social media, you can communicate to millions of people simultaneously.
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You can Google something and ask any question.
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It's like an article of wisdom that you can ask almost any question and get an instant response.
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It would have been incredibly difficult to predict these things in the past,
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even the relatively recent past.
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I think the one thing that we can be quite certain of is
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that any predictions we make today for what the future will be like in 50 years will be wrong.
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That's for sure.
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I mean, I think directionally,
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I can tell you what I hope the future has,
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as opposed to maybe what it will be,
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because this may just be wishful thinking.
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I mean, I hope we are out there on Mars and maybe beyond Mars,
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the moons of Jupiter.
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I hope we're traveling frequently throughout the solar system,
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perhaps preparing for missions to nearby star systems.
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I think all of this is possible within 50 years.
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And I think that will be very exciting to do that.
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And I think we'll see autonomy and artificial intelligence advance tremendously.
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That's actually quite near term.
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My guess is in probably 10 years,
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it will be very unusual for cars to be built that are not fully autonomous.
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10 years.
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10 years from now.
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Yeah.
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I think almost all cars built will be capable of full autonomy in about 10 years.
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As it is, the Tesla cars that are made today have the sensor system necessary for full autonomy,
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and we think probably enough compute power to be safer than a person.
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So it's mostly just a question of developing the software and uploading the software.
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And if it turns out that the compute power,
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that more compute power is needed,
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we can easily upgrade the computer.
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And so that's all Tesla's built since October of last year.
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And other manufacturers will follow and do the same thing.
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So getting in a car will be like getting in an elevator.
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You just tell it where you want to go,
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and it takes you there with extreme levels of safety.
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And that'll be normal.
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It'll just be normal.
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For elevators, they used to be elevator operators.
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You get in, there'll be a guy moving a lever.
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Now you just get in,
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you press the button, and that's taken for granted.
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So autonomy will be widespread.
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I think one of the most troubling questions is artificial intelligence.
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And I don't mean narrow AI.
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Like vehicle autonomy, I would put in the narrow AI class,
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it's narrowly trying to achieve a certain function.
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But deep artificial intelligence, or what is sometimes called artificial general intelligence,
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where you could have AI that is much smarter than the smartest human on earth.
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This, I think, is a dangerous situation.
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Why it is dangerous?
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I mean, there is two views.
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One view is artificial intelligence will help humanity.
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There is another school of thought is artificial intelligence is a threat to humanity.
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Why is it?
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Well, I think it's both.
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You know, it's like one way to think of it is imagine we're going to be visited,
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imagine you're very confident
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that we were going to be visited by super intelligent aliens in let's say 10 years or 20 years at the most.
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Super intelligent.
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So you think within 20 years we'll have alien in Earth?
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Well, digital super intelligence will be like an alien.
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It will be like an alien.
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But my question is, do you think there is other intelligent life outside the Earth?
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It seems probable, but I think this is one of the great questions in physics and philosophy,
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is where are the aliens?
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Maybe they're among us, I don't know.
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Some people think I'm an alien.
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Not true.
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Not true.
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But maybe we are aliens.
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Of course I'd say that.
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Maybe we are aliens, Ellen.
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I mean, if you look at this part of the world,
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they believe that human beings are not from Earth.
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They came from somewhere else.
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Eve and Adam came from somewhere else to Earth.
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So in a way, human beings are alien to this land.
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Do you think?
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为什么使用这个视频进行口语练习？
通过观看并跟随 Elon Musk 的对话，你可以在真实语境中提升自己的口语表达能力。视频中的谈话内容涵盖了关于未来、人工智能和日常生活的多个方面，这些都是在雅思口语考试中常见的话题。
利用这个视频进行 英语影子跟读，不仅可以提升你的发音，还能帮助你更好地理解语境中使用的词汇和短语。你可以尝试模仿 Musk 的语调和节奏，增强你的口语流利度。这样的练习将有助于你在日常交流或考试中更加自信地表达自己的想法。
语法与表达的语境分析
在视频中，Elon Musk 使用了几种重要的表达方式，以下是一些你可以特别关注的结构：
- “I think particularly when you see...” - 这种表达方式通常用于引入自己的观点，对于在口语中分享个人看法非常有效。
- “If you extrapolate that out...” - 这是一个很好的假设句型，可以帮助你在讨论未来情景时表达逻辑推理。
- “How do we know that...” - 这种提问方式能够引导讨论，加深对话题的探讨，非常适合用在流利表达的场合。
- “It seems like...” - 用于表述自己的感觉或看法，增添了交流中的自然性和随意感。
通过分析这些句型，你可以在自己的口语中更自然地使用多样的表达方式，从而提高 雅思口语练习 的效果。
常见发音陷阱
在视频中，你可能会遇到一些发音上较为困难的词汇或口音特点：
- “extrapolate” - 这个词的重音位置可能会让非母语者感到困惑，注意重音在第二个音节。
- “artificial” - 注意发音的清晰度，尤其是中间的“fic”部分，确保发出清晰的声音。
- “realistic” - 这个词的“real”发音需要强调，并注意连读现象。
在进行 提高英语发音 的练习时，可以借助此视频，时常回放并模仿，以便抑制口音的影响，这对于学习者是个极好的机会。结合 看YouTube学英语 的方法，你可以在轻松的氛围中提升自己的发音与表达能力。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。