쉐도잉 연습: AI Slop Is Destroying The Internet - 영상으로 영어 말하기 배우기

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AI Slop is saturating the internet and things are becoming dramatic pretty quickly.

In an online world where money is made with attention, fake users spread their slop in review sections, generate fake traffic or poison discourse.

AI has supercharged this and made slop much harder to spot.

Today about half of internet traffic is bots, the majority of them are used for destructive purposes.

It's never been easier to make mediocre content – from the black hole of meaninglessness that is LinkedIN, low effort short videos just engaging enough to hypnotise kids and fry their attention spans, to endless soullessly rewritten books on amazon.

AI music is invading streaming platforms.

Google AI is summarizing websites instead of sending traffic to them.

On Youtube, new channels publish long form videos multiple times a week with AI generated thumbnails, voices and scripts.

True crime, video essays, science, no space is safe.

We’re in the golden era of soulless slop.

And sadly, actual creative human work is used to train these AI models.

Every reddit comment, original YouTube video or human drawing on deviant art has been sold out to the AI companies.

Or straight up stolen by them.

Without attribution or payment to the actual creators.

Creative theft on a scale where it is impossible to protect against it, already putting loads of creatives’ work in danger – so AI companies can get rich.

While this is sad and frustrating, what’s even worse is that generative AI truly has the potential to break the internet irreversibly.

By making it harder and harder to tell what is true.

At First AI Looked Great!

A kurzgesagt script starts with basic research that is turned into a script and then fact checked in depth by 2-3 people.

We try to confirm our info with what we deem trustworthy, ideally first hand sources, ideally papers.

Then we get 1-3 experts for input and critique.

Fact checking and compiling our sources alone takes around 100 hours per video.

Of course we make mistakes or oversimplify, and you can disagree with our conclusions – it’s unavoidable, we are only human after all.

But it is fair to say that our process is extensive and after a decade, we know what we are doing.

When AI appeared we were very excited.

A mechanical brain able to super quickly collect information!

So we went to work and it looked amazing!

And then we started fact checking.

We didn’t expect it to be perfect – but it was way worse than we thought.

Confidently Incorrect – AI is SO Bad at This We’ll summarize and generalize our experiences over multiple projects and months condensed into one fake project.

A video about why Brown Dwarfs are the worst and should be ashamed of themselves.

So we got all the pro accounts of all the AI models and got to work.

Using deep research tools to create a summary and overview of all the information about the failed stars, brown dwarfs.

And wow it was great!

Dozens of pages of outlines with unique information nuggets and links to sources!

Then we started to look deeper.

More than 80% of the info and factoids were pretty solid and we could reconstruct where they were from.

Wikipedia, papers, legit articles.

What about the rest? It was great stuff, like the speed of brown dwarf superstorms, the nature of their insides or how disappointed their moms are.

But we could not find where the AI got this info from.

Which is not automatically a bad sign – after all, the models contain pretty much all the internet and books ever written.

So we asked experts for input – and they flagged the exact same facts, even asking where we found it.

To fulfil its goal, to make us happy, the AI had invented or extrapolated information to make brown dwarfs more interesting than they really are.

Like a bad journalist making up details to make a story hit harder or fit a narrative.

Now we wanted to know more and dove in deeper, reading the seemingly more solid sources the AI had given us in full.

One was an article from a news site written by a human journalist – or was it?

It had a very familiar structure and surely purely coincidentally, read like what you get if a human slightly changes AI wording.

An AI essay detection tool gave it a 72% match.

So an AI article without sources, used as a credible source for AI research.

Which makes sense since in 2025 there were already well over 1200 confirmed AI News Websites publishing massive amounts of AI generated misinformation and false narratives.

This mix of correct, dubiously sourced and straight up made up information also leads AI to present really shoddy conclusions that sound strong or novel but are often half truths or misrepresentations.

Oh well. We salvaged what we could and went back to the drawing board.

And after a few weeks it happened.

By pure stupid chance, we saw a brown dwarf video popping up, by a relatively new channel.

It had hundreds of thousands of views and was pretty good, nice footage, great editing!

But we had seen the structure and rhythm before.

And would you look at that, it contained all the brown dwarf facts we had flagged as unreliable or straight up made up by AI.

This is where the death of the internet begins.

Now there is a proper source of brown dwarf misinformation online.

When the next AI repeats the same research, it will find a transcript from a video with a lot of views.

The misinformation is now true.

It will spread.

Even before AI it was pretty hard to find the origin of facts that sound great but are not true – just watch our video about a 100 year old lie.

As AI use goes on it may become impossible to know what is true or not.

The Most Corrosive Lie The problem with AI is how trustworthy it seems. How it is correct enough to seem super smart and how incredibly confidently incorrect it is.

Casually lying to your face, often very subtly.

When you catch it lying, it immediately admits it, vows to never do it again.

And then it does it again.

As eloquent as current language models feel, there is nobody home.

No greater intelligence or consciousness is talking back to you.

Current AI is a very complex hammer that does not understand what it is doing or what nails are.

But we are letting it add new shelves to the library of human knowledge.

AI is changing quickly, so this may get better, but right now it's pretty grim.

Way too many people blindly trust AI.

Studies looked into the language of millions of scientific papers published before and after the rise of LLMs.

They found an abrupt and sharp increase in the frequency of words that AIs like to use.

So it seems clear that now a significant portion of papers have been at least assisted by AI, usually without acknowledgement.

And just in July 2025 it was discovered that a number of researchers had started to sneak hidden messages into their papers.

In white text or too small for the human eye they prompted AIs to review them positively and not point out flaws.

As more and more people are using AI carelessly, the library of human knowledge is getting less and less reliable.

Which brings us the last part: How are we using AI?

And will kurzgesagt survive the AI slop age?

Will AI Slop Kill Kurzgesagt And Artists?

On the internet there is only one truly valuable resource: human attention.

If current trends continue it is not that far fetched that cheap slop content, stuff just good enough, will soak up the majority of human attention.

It could make us dumber, less informed, our attention spans even worse, increase political divides and make us neglect real human interaction.

If AI eats the majority of the attention pie, channels like ours will become unfeasible.

Or forced to downsize or use AI themselves to be able to compete. We don’t want to play this game.

How will we use AI?

Like the align tool in adobe illustrator.

If you have a bunch of boxes and you want them to line them up, you can do this manually, one by one.

Or you can just select them, click “align” and have them perfectly aligned in an instant.

It’s the same with AI programing tools for animation or using it as a faster google alternative.

AI is a helpful tool, but the creativity and integrity is still ours.

So dear internet, here is what we are offering to you: kurzgesagt is made by humans, for humans and it will remain that way.

We will produce well researched content and invest a lot of time and our human creativity into our illustrations and animations.

Put in our creative soul into our work.

We will continue to fact check and discuss our research with human experts, to give you the most trustworthy information that we can.

When we make mistakes, they will be our mistakes.

100

We would rather quit than make AI slop.

101

But to go on we need your support.

102

kurzgesagt is almost 70 full time people and a lot of freelancers on top.

103

This is a lot of salaries, software licences, laptops, rent and coffee.

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이 수업에 대하여

이번 수업에서는 AI가 인터넷에 미치는 영향과 그로 인해 발생하는 문제들에 대해 살펴봅니다. 특히 AI가 생성한 콘텐츠가 어떻게 우리의 정보 탐색 방식에 혼란을 줄 수 있는지를 중점적으로 학습할 예정입니다. 이 과정에서 다양한 영어 표현과 어휘를 익히고, 실제 영어 대화에 적용해 보며 스피킹 능력을 향상시킬 수 있습니다. shadowspeaks 방식을 통해 유튜브 영어 공부를 진행하면, 자연스럽게 대화의 리듬과 억양을 익힐 수 있습니다.

핵심 어휘 및 구문

AI Slop: AI가 생성한 저품질 콘텐츠로, 인터넷에 넘치는 정보를 의미합니다.
기계적 뇌: 정보를 빠르게 수집할 수 있는 AI를 지칭합니다.
허위 정보: 사실이 아닌 잘못된 정보를 나타냅니다.
신뢰할 수 있는 출처: 정보의 정확성을 보장하는 출처를 의미합니다.
창의적 도용: 창작자의 작품을 무단으로 사용하는 것을 나타냅니다.
잘못된 정보: 진실이 아닌, 잘못된 사실들을 일컫습니다.
요약: 정보를 간략히 정리하는 행위입니다.

실전 연습 팁

동영상의 속도와 톤에 맞춰 연습하는 것은 매우 중요합니다. shadow speak 기법을 활용하여 적절한 속도로 발음해 보세요. 다음과 같은 팁을 따라 연습해 보세요:

강조가 필요한 부분이나 감정을 담아야 하는 구문에 집중하세요. 예를 들어, "AI 슬롭이 인터넷을 멍들게 하고 있다"라는 문장을 말할 때, 감정을 담아 강조해 보세요.
속도를 조절해 보세요. 처음에는 천천히 시작하고, 익숙해지면 점차 자연스러운 속도로 나아가세요.
발음을 명확히 하세요. 특히 어려운 어휘는 반복해서 연습하여 정확한 발음을 익히는 것이 중요합니다.
동영상에서 제공되는 대화의 억양을 주의 깊게 들으세요. 의미 전달에 있어 억양이 차지하는 비중이 크기 때문입니다.
예문을 통해 연습한 후, 자신만의 예문을 만들어 말해 보세요. 이를 통해 IELTS 스피킹 준비에도 도움이 될 것입니다.

이런 방법들을 통해 영어 스피킹 능력을 효과적으로 향상시키고, AI와 관련된 주제를 보다 잘 이해하게 될 것입니다. 매일 조금씩 연습하는 것이 중요하며, 유튜브 영어 공부를 통해 더 많은 자료에 접근할 수 있습니다.

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화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형	영상 속 표현
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	is made · are used · has been sold
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	has supercharged · It's never been · has been sold

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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쉐도잉 연습: AI Slop Is Destroying The Internet - 영상으로 영어 말하기 배우기

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핵심 어휘 및 구문

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쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법