跟读练习: Wild times we live in - 通过视频学习英语口语

A lot of developers right now feel like coding isn't enjoyable anymore, that our future is uncertain, that our job is nowadays just babysitting some agents,

that we have to review so much code and management is just pushing us to do more and more and more.

It should all make us more productive in the end, but when being honest, you're just working more than ever before.

So much slop, so many you're absolutely right moments, and just so many things that suddenly become important.

So token consumption, our workflows, MD files, skills, MCPs, and whatnot.

Look, I also sometimes miss sitting there, scrolling through these endless stack overflow poles,

trying to fix a bug just to then experience that moment of joy when something finally works out.

I sometimes also miss having to write a complicated algorithm, just thinking through all these possible edge cases, thinking about how I can make it most efficient.

That was all fun.

And I think it's mostly

that it just got harder to get into this flow state with AI because you're not constantly doing something anymore.

But in the end, you put in a prompt

and then you wait for a response

or at least constantly have to go through this context switch when running stuff in parallel.

But just like that, I also miss

so many things I did in my childhood where my only worry was after all

that my Charizard is dying when fighting Gary in the Pokemon League.

So I can relate.

Things have changed.

But nevertheless, if this is making you feel bad, I want to give you a different perspective with this video because I genuinely think this trend isn't all negative.

And I genuinely think that the bare fact you've clicked on this video means you're currently blocking yourself in some way.

Your bad feelings aren't actually coming from what is happening out there.

It's not AI itself that is making you feel bad.

And in my case, it's not Pokemon that is making me feel bad.

But what is making you feel bad is resistance against it.

It's thinking that it shouldn't be like this when it actually is.

It's this feeling that you want to lock in that state of joy forever.

Or in other words, being mentally too attached to the past.

But the past is over and it won't come back.

It has always been like that.

This is nothing new.

And this feeling is where you're currently blocking yourself.

And that is the real problem.

Because in the end, what you do in the presence right now is what creates the results of the future.

And with whatever happens in your life or whatever happens in your career, there is always an activating event.

So here, for example, AI is now writing most of the code.

So you have this event, then there is a belief you attach to it.

And this belief is what leads to the emotional outcome.

So how you actually feel about it.

In other words, it's not the event itself making you feel bad, but how you interpret it.

And an interpretation is just a thought and has nothing to do with reality.

But your mind treats it as that.

And I know this is getting quite psychological here, but I had to learn this myself.

The evolutionary job of your mind is simply to make sure you survive.

And that's why it attaches interpretations to everything.

That's also why you don't have to rock over a red light to know doing so could be dangerous.

So you can turn off your mind making interpretations.

But you can become more conscious about when it does.

Therefore the first step to really feeling better about all this big change to our career here is just acknowledging

that things are always happening.

That security also doesn't exist and that the story your mind tells you is not a fact.

And the good thing is you can use this exact mechanism for your advantage as well

because if your mind can draw negative conclusions, it can also draw positive ones.

And let's think about it.

AI is changing our industry, but not that much.

It is changing how we code, but not what we build and also not why we build something.

Before the AI era, if you would have asked most developers why they enjoy coding, they would have said they simply love the joy of building something useful.

That coding kind of makes them feel like a little god who is just under control of where the journey goes.

And AI lets us do more of this now.

It lets us have more control and build more.

A single person can nowadays build with AI what has previously required a team.

So we have way more possibilities nowadays.

AI also doesn't make taste go away.

AI doesn't make difficult technical decisions go away.

And AI also doesn't make planning, drafting, and organizing that work go away.

The only thing it makes go away is the act of typing syntax via your keyboard.

And if you feel like you're reviewing too much code, too much slop, and you're just babysitting your agent, that to a large degree can be fixed by just improving your AI skills.

By really establishing a great workflow, building a tailor -made verification framework, for example.

So there are things you can actually do to drastically improve the output from AI.

And then the review will be necessary, but it will be much nicer because the code is initially just a lot better.

Yes, there will still be things to improve, but it'll be a lot better.

And ultimately, if a human would have written all that code, he would have also had to review it.

And AI is allowing us to learn so much more now in a shorter time.

We're suddenly not constrained to just Android development anymore, for example.

We can suddenly build backends as well.

We can build websites.

We can build a game because typing code is not a bottleneck anymore.

It just lets us try things and iterate on these trials

so much faster and therefore learn so much more and gain real practical experience so much faster.

So I completely get when it makes you feel bad when you say, okay, it was so much fun to type code.

Again, I love typing code and I also still sometimes do it to learn new things.

And I miss these times, but I also miss many, many other things that are simply belonging to the past now.

So see things really from a realistic perspective because you in the end have exactly two options.

You either say, this is making you feel so bad that you just quit your job, quit your career, move into the mountains and I don't know, grow some tomatoes on your own farm.

Or you say, no, I actually want to keep this career.

I want to keep building stuff.

And if the latter here is true, if that is your choice, then look into the future positively.

Focus on the chances.

Focus on what you can do right now to make your career be better in a year, in two years, in five years.

But you have to get out of this mental downward spiral because it's really not contributing to your future in any way.

And I guess in five years, coding will again be drastically different than it is right now.

But if you now have this downward spiral, It will also keep you back from adapting where you should adapt to still be relevant.

So we're not in 1960 anymore.

Things have changed and that is completely okay.

So I hope this video maybe helped you a little bit.

Think a bit more positively.

If you feel like you really need this positive surrounding, developers who really want to learn, who want to grow and just someone who helps you put your career on the right track again,

you can check out my mentorship program in this video's description.

And other than that, thanks so much for watching this.

100

I will see you back in the next video.

101

Have an amazing rest of your week.

102

Bye -bye.

103

Thank you.

📺 同频道

Why 95% of Android Developers Get Use Cases Wrong

Business EnglishUniversity StudentsWorking Adults

We will all be generalists.

Business EnglishUniversity StudentsWorking Adults

✨ 推荐视频

202 句

你能学到什么

这段视频能帮你提升两大口语技能：一是如何用自然的语气表达复杂情绪（比如对工作变化的无奈与反思），二是在长句中保持语流连贯。此外，它还能训练你听懂日常对话中的「内心独白」式表达，这对雅思口语练习很有帮助，因为考试中常需要描述个人感受与观点。

注意这些发音现象

视频里有不少连读和弱读值得关注。比如「a lot of」会连读成「a lotta」，「miss sitting」中「miss」的尾音/s/与「sitting」的首音/s/连读成一个较长的/s/。还有「it's not AI itself that is making you feel bad」中，「that is」弱读成「that's」，让句子更流畅。这些发音细节能让你的口语更像母语者。

像母语者一样表达

模仿 speaker 的节奏和重音是关键。比如「But what is making you feel bad is resistance against it」这句话，重音在「bad」「resistance」和「it」上，通过轻重对比突出核心观点。练习时可以用 shadowing site 进行跟读，先听一遍，再立刻重复，注意捕捉语气中的无奈与释然。此外，句子中的停顿也很重要，比如在「So token consumption, our workflows, MD files...」后稍作停顿，模拟思考的节奏。坚持用这种方法练习，你的英语口语会更自然，无论是看视频学英语还是日常交流都能得心应手。

视频中的语法

说话人最常用的结构，并附上视频中的原话：

结构	视频中的用法
条件句 if + 从句，will/would + 动词 — 条件及其结果	if a human would have
现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事	have changed · you've clicked · has always been

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。

影子跟读法: 阅读完整分步指南 →

跟读练习: Wild times we live in - 通过视频学习英语口语

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你能学到什么

注意这些发音现象

像母语者一样表达

视频中的语法

什么是跟读法？