쉐도잉 연습: Everyone Is Wrong About AI Coding - YouTube로 영어 말하기 배우기

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It doesn't matter where you look,
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It doesn't matter where you look,
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everyone is talking about how quick and good AI is,
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especially when it comes to writing code.
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And even if we assume all of these statements that they're saying are 100% true,
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which in reality, most of them are over-exaggerated,
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I'm still not worried about AI taking over programming jobs.
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Let's just take the base level claim that AI can write code 10 times quicker than I can as a developer.
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And let's assume that this AI code is 100% perfect code of the exact same quality that I would write.
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Maybe even it's better quality than the code that I myself would write.
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So we're getting 10 times the output by using AI as opposed to handwriting code,
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and the quality stays exactly the same.
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I personally don't believe that you get this with AI,
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but even assuming all of these statistics,
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I still don't think AI is going to replace programmers.
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The reason being, imagine
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that you are a CEO at a company that's publicly traded
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your number one goal is to create as much profit as possible for your shareholders that have your stock.
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That's just what a publicly owned company,
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especially in the U.S., is supposed to do.
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So your goal is to maximize profit.
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And now imagine that I come to you and I say,
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I can make every single one of your developers 10 times more productive.
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You can crank out features and products like you've never been able to do before.
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All you need to do is just start using AI.
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What are you going to do?
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Are you going to say, oh, this is great.
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I'm now going to fire 90% of my workforce so that I can be exactly the same as I was before.
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Or are you going to say,
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wow, this is a huge competitive advantage.
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I can now use this AI in my same exact workforce that I have,
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and I can create 10 times as much content or features or updates that all my other competitors can do,
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which will skyrocket my stock price
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and all of the different things related to my company are going to be good
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because I'm 10 times more productive than everyone else.
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Clearly, it makes sense to choose that second option.
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And if you were a company that decided instead of choosing that second option and being 10 times more productive,
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you're going to fire 90% of your workforce and stay exactly as productive as you are,
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all of your other competitors are going to be taking advantage of
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that 10 times increase and they're going to surpass you and your company will essentially fade out and die.
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So if that's the case,
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why aren't we actually seeing these 10x improvements?
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You may know that the job market,
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especially for programming, is just not great right now.
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The entire job market is not great,
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but programming as well is just not a great job market right now.
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And the reason for that actually has nothing to do with AI replacing programmers
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and instead the fact that the market is just not in a good place right now.
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The entire economy is down,
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jobs across the board are down,
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spending is down, and overall,
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companies are hesitant to hire when they're in these type of situations where the entire economy is down.
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This is especially compounded by the fact that companies,
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especially tech-related companies, massively overhired in like 2020,
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2021, 2022, even into 2023,
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because there was a massive boom during COVID.
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Everyone was at home tech companies skyrocket in valuation, and they massively overhired.
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They kept on that workforce for a while,
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but as the economy started to go down,
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they realized, why are we keeping all these additional people on?
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We overhired.
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We have more developers than we can actually handle.
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So they fired off those developers,
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and that's why the economy has not been great for job markets in the exact programming niche.
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Now, most companies are going to say,
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oh, the reason we're firing all these developers is so
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that we're going to be implementing AI and it's replacing all of our developers.
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But in reality, what's happening is they have a hard market,
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they're losing profit, and they're saying,
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well, the best thing to do when we're losing money like this is to fire some developers because we have too many.
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And instead of going to our shareholders and saying,
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hey, our company is losing tons of money, so we're firing people.
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Instead, they say, hey, we're like super cool and we're using AI in all of our products,
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so now we can fire people because AI is making our business better.
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Even if that's not true,
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it just sounds a lot better.
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So that's what they tell the shareholders to keep their stock price high,
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as opposed to saying, hey,
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our company's actually losing money,
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which is why we're firing people.
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There have been countless times throughout the history of even just programming where new technology
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or tools have come along that have drastically increased the performance of developers
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and made them better and quicker at writing high quality code.
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And I will admit that AI is a massive multiplier compared to some of these other things,
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but I don't think the result is going to be any different.
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Yes, AI
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when used by a competent developer is going to be able to create more code than someone that's not using AI.
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And if it's done right,
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it can create just as high quality code,
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but at a much faster pace.
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But that doesn't mean that we're just going to sit back and say,
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well, now we can, you know,
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spend less time writing code.
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Instead, we're going to create more code than ever before
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and create more features and more products because that's just how the world works.
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When you have more resources that you can put towards something,
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you're going to put those more resources towards that thing to continually expand
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because there are infinite numbers of ideas out there
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and there's only a finite amount of resources so
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if we can multiply those resources that just means
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that we can serve more of those infinite number of ideas
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that people have now you may be thinking well what
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if the ai gets good enough to completely replace programmers
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and for that i just want to direct you to this video right here where i talk all about that problem

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왜 이 비디오로 말하기 연습을 해야 할까요?

이 영상에서는 인공지능(AI)의 프로그래밍 작업에 대한 오해와 실제 상황을 짚고 있습니다. 특히, AI가 코드를 작성하는 속도와 품질에 대한 주장들이 과장되어 있음을 강조하며, AI가 프로그래밍 일자리를 대체할 가능성은 낮다고 말합니다. 이러한 주제는 실제 비즈니스 환경에서의 대화와 의사결정 과정을 잘 보여줍니다. 영어 회화 연습에 있어 이런 맥락을 이해하고 적용하는 것은 매우 유익합니다. 비즈니스 영어, 특히 기술계에서의 대화는 많은 사람들이 겪는 실제 상황이기 때문에, 이러한 비디오를 통해 자연스러운 대화의 흐름과 표현을 익히고 shadow speech를 통해 말하기 능력을 향상시키는 데 큰 도움이 됩니다.

문법 및 표현 분석

  • "Are you going to say..." - '너는 이렇게 말할 건가?'라는 의문문 구조로, 상대방의 반응을 예상하면서 대화하는 자연스러운 표현입니다.
  • "Imagine that you are a CEO..." - 가정문을 사용하여 특정 상황을 제시하는데, 이렇게 상대방이 상상할 수 있는 상황을 만들어줌으로써 대화의 몰입도를 높일 수 있습니다.
  • "This is a huge competitive advantage." - '이것은 막대한 경쟁 우세이다.'라는 구문은 비즈니스 영어에서 매우 중요한 표현으로, 경쟁에서의 우위를 설명하는 데 효과적입니다.

이러한 다양한 문법 구조와 표현들을 익힌다면, 일상 회화 및 업무에서 보다 자신감 있게 대화할 수 있을 것입니다. 이를 통해 영어 쉐도잉 연습이 더욱 수월해집니다.

일반적인 발음 함정

영상에서 언급된 표현 중 몇 가지 발음이 까다로운 단어들이 있습니다. 예를 들어, 'productive'는 /prəˈdʌk.tɪv/처럼 발음되며, 중간 음절에 주의를 기울여야 합니다. 또한 'competitive' 역시 /kəmˈpet̬.ɪ.tɪv/로 발음되어 't' 소리가 강조됩니다. 이처럼 발음에 신경 쓰지 않으면 자연스러운 대화에서 벗어나기 쉽습니다. shadowing siteshadowspeaks 같은 리소스를 활용하여 다양한 발음을 반복적으로 연습하는 것이 좋습니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

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