쉐도잉 연습: AI Coding Is a Dead End - 영상으로 영어 말하기 배우기

레슨 만드는 중...
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you should stop using AI to write code for you.
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And I'm not saying that because I'm this staunch anti-AI person.
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I'm more firmly in the camp of against it.
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My main concerns being the environmental ones and the IP theft over everything else.
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But I'm saying it not even thinking about those things, but thinking more about your future.
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And especially if you want to continue being a developer.
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I know some people are feeling like the job has changed
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so much that maybe they don't want to continue doing it
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or they're worried that the impacts of AI are going to make it so they don't even have a job anymore.
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And I completely get it that we're in this situation now where no one really knows what's actually happening.
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And all of that uncertainty is very stressful.
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But I do want to say that if you are worried about your job security,
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that I think actually writing as much code by hand as possible is going to be a very beneficial skill.
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And the reason I'm saying that is that there's a de-skilling that is currently going on.
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But the problem with all of these tools is if you're not an expert in something, you're not going to be very good at using them.
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And as good as they're getting, this is still holding true.
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People that are experts are doing really good things with it.
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And I've talked about this before on this channel, so I'm not going to continue just harping on that point.
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But what I want to talk about more is the skills you build through actually writing code.
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And people who are experts got there because they wrote the code.
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And they went through the debugging and they did everything else.
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I've done that with CSS for the past 10 plus years.
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And I get asked all the time, Kevin, how do you know CSS so well?
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And I say it's because I wrote so much of it.
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And taught and teaching is actually a really nice trick as well.
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you learn so much and make so many connections through concepts
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that feel unrelated until you say them out loud
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and then all of a sudden things click
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but the main thing I want to get to in this
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is just how as people are worried about skill de-skilling of things going on
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or not even needing these skills anymore
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because you can ask AI to do something is the things
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that the AI are making are not perfect and there's lots of problems
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that are arising from it especially if you're doing it with things that you're not an expert in.
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I have this comment here that I want to read out.
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This was on my video of illusions and mastery.
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Part of his comment anyway, he says, I have one junior dev who says everything I do is useless bullshit
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and gets all defensive when I point out even one of the many AI introduced bugs in his code.
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And I hear a lot of stories of this, of junior developers that are coming in that are
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so reliant on the AI that they just assume it's this illusion
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and where things are happening and it looks good in the short term that they know what they're doing.
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But the people that are most successful in using these tools are people who already know what they're doing.
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If you're an expert in the field or what you're asking it to do, then when it is making mistakes, you're able to course correct and steer it in real time as it's doing these things.
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Whereas if you don't know the subject really well to begin with, you can't actually use the tool efficiently or effectively.
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And as more and more people are relying on these tools, that just means that there's this continued de-skilling that's happening.
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Or maybe not de-skilling, I'm sure that has happened to a certain extent.
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But I also think as new people are coming in, they're not coming with the same foundational knowledge that they once had.
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And that's going to create a very big knowledge gap that's not getting filled by the AI tools
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and by the LLMs and all these other things in the way that the companies are trying to sell it.
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And the companies sell it as this marvelous wonder thing.
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And I know that middle management loves these things because they lap up all the marketing material and then expect us to, you know, oh, it's going to make you 10 times more efficient than everything else.
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And I think it can make developers more efficient, again, if they know what they're doing.
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But I just really want to hammer home that idea that
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if you enjoy development work and it's something that you've got into, or maybe it's something you're even looking at getting into.
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I have a lot of people that are emailing me and asking me that are like, I was thinking of getting into web development and now I'm not so sure.
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Thing is, look around everywhere.
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It's not just web development where this is happening.
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It's everywhere where this is happening.
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But I think an expertise is always going to be valuable
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and maybe even more valuable than it was before rather than less
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but it's just about learning enough of the core language
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and everything that goes along with it and the core skills and everything you need for these.
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And the only way to build those is to do it yourself.
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And if you're doing it with some AI speeding you along to help you try and be a bit faster, just be really careful with that.
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I really think the more you can be doing by hand, the better.
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And I actually think now as the prices of these tools are becoming less
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and less subsidized by the companies that are making them, companies might also start rewarding employees who are actually not burning through as many tokens as possible either
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so it could be a little bonus in the short term
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there as well potentially as always here on this channel i'd
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love to know what you think about this this is not
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just i don't want to just be me talking into the
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camera the comment sections of these videos is turning into a
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really amazing place i don't have time to reply to everyone
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there's been a lot more recently as this channel started to take off
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but i enjoy reading them there's a lot of really good discussions going on, replies to other things, which I generally don't see on my tutorial videos that I do on the main channel.
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So yeah, please do leave a comment if you have thoughts on this.
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But I really do think that if you already know what you're doing, you are positioned very well right now.
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And if you're somebody who doesn't, you know, just getting into things, start coding, start actually writing code, try not to rely on the AI tools when you don't have to, and build up those foundational tools,
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because all it's going to do is help you out.
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And then use all of that amazing knowledge and all these things
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that you are learning to go and make your corner of the internet just a little bit more awesome.

왜 이 영상으로 말하기 연습을 해야 할까요?

이 영상은 인공지능(AI) 코딩에 대한 비판적인 시각을 제시합니다. 특히, 개발자로서의 미래에 대해 고민하는 사람들에게 많은 통찰을 제공합니다. 영어 회화 연습에 있어, 이러한 주제는 개인의 의견을 표현하고, 자신의 생각을 논리적으로 전달하는 능력을 키우는 데 큰 도움이 됩니다. 영상 속의 대화는 실질적인 문제에 관한 것이므로, 실제 상황에서의 말하기 능력을 향상시키는 데 유익합니다.

문법 및 표현 분석

영상에서 사용된 주요 구조들을 살펴보면 다음과 같습니다:

  • 가정법 (If 문장): "If you are worried about your job security..." 예시에서는 개인의 감정이나 상황에 따른 가정적인 표현을 사용하여 청중과의 연결을 강화합니다.
  • 현재 진행형: "People that are experts are doing really good things..." 이 구조는 현재의 상황을 강조하며, 이야기에 생동감을 더합니다.
  • 부정 표현: "not knowing the subject really well..." 부정적인 상황을 설명할 때 이 표현이 자주 사용되며, 청중에게 경각심을 줍니다.
  • 강조 구조: "the things that the AI are making are not perfect..." 이 문장 구조는 AI의 결과물에 대한 의구심을 강조하여 청중의 비판적인 사고를 유도합니다.

이러한 문법과 표현을 이해하고 활용하는 것은 IELTS 스피킹과 같은 시험 준비에도 필수적입니다.

일반적인 발음 함정

영상에서는 몇 가지 발음의 어려움이 있습니다:

  • ‘de-skilling’: 이 단어는 한국어로 번역하기 어려운 고유한 개념을 담고 있어, 발음할 때 유의해야 합니다. ‘디스킬링’으로 발음하는 것이 일반적입니다.
  • ‘AI’와 ‘code’의 발음: ‘AI’는 ‘에이아이’로, ‘code’는 ‘코드’로 발음됩니다. 이 두 단어는 자주 사용되므로 익숙해지는 것이 중요합니다.

자신의 발음을 교정하고 싶다면, 영어 발음 교정 연습을 통해 더 나은 발음을 목표로 할 수 있습니다. 영상의 내용을 반복해서 들어보며 shadowspeaks 기법을 활용하면 도움이 될 것입니다.

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.