シャドーイング練習: AI Coding Is a Dead End - 動画で英語スピーキングを学ぶ

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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.

このビデオで話す練習をする理由

この動画は、AIによるコーディングの限界についての考察を提供しています。話者が直面している問題や、AIに頼ることによるスキルの低下について考えることで、英語での話し方や論理的思考を鍛えることができます。特に、AIツールに依存せずに自分の手でコーディングを行う重要性を強調しています。このコンテキストを通じて、実際の開発者の視点を理解し、自信を持って英語で意見交換するスキルを向上させることができるでしょう。YouTubeで英語学習を行う中で、こうした実践的な内容は非常に有益です。

文法と表現の文脈

  • "I know some people are feeling like..." - このフレーズは、相手の感情に共感を示す表現です。感情を考慮することは、会話での重要な要素です。
  • "If you are worried about..." - もし「~が心配であるなら」という条件文を使うことで、相手にアドバイスをする表現を学べます。
  • "People that are experts are doing really good things..." - この構造は主語を強調し、特定のグループについての意見を述べるときに便利です。
  • "The problem with all of these tools is..." - 問題点を明確にする際に使えるフレーズで、論理的な構成を助けます。
  • "There's a continued de-skilling that's happening." - 現在進行形を使った指摘で、継続的な現象を表現するのに役立ちます。

一般的な発音の罠

この動画の中で、特に注意が必要な言葉やアクセントがあります。例えば、「co-developers」や「de-skilling」という言葉は、正しい発音に気をつけることが大切です。これらの言葉を練習することで、英語の発音を良くすることができ、IELTSスピーキング対策にも役立ちます。また、話者の流れるような言葉のリズムも模倣することで、shadow speakの技術を磨くことができるでしょう。

シャドーイングとは?英語上達に効果的な理由

シャドーイング(Shadowing)は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的:ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影(shadow)」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。