シャドーイング練習: AI Slop Is Destroying The Internet - 動画で英語スピーキングを学ぶ

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AI Slop is saturating the internet and  things are becoming dramatic pretty quickly.
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In an online world where  money is made with attention, fake users spread their slop in review sections, generate fake traffic or poison discourse.
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AI has supercharged this and  made slop much harder to spot.
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Today about half of internet traffic is bots, the majority of them are used  for destructive purposes.
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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.
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AI music is invading streaming platforms.
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Google AI is summarizing websites  instead of sending traffic to them.
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On Youtube, new channels publish long  form videos multiple times a week with AI generated thumbnails, voices and scripts.
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True crime, video essays,  science, no space is safe.
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We’re in the golden era of soulless slop.
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And sadly, actual creative human work  is used to train these AI models.
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Every reddit comment, original YouTube video or human drawing on deviant art has  been sold out to the AI companies.
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Or straight up stolen by them.
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Without attribution or payment  to the actual creators.
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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.
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While this is sad and frustrating,  what’s even worse is that generative AI truly has the potential to  break the internet irreversibly.
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By making it harder and  harder to tell what is true.
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At First AI Looked Great!
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A kurzgesagt script starts with basic  research that is turned into a script and then fact checked in depth by 2-3 people.
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We try to confirm our info  with what we deem trustworthy, ideally first hand sources, ideally papers.
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Then we get 1-3 experts for input and critique.
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Fact checking and compiling our sources  alone takes around 100 hours per video.
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Of course we make mistakes or oversimplify,  and you can disagree with our conclusions – it’s unavoidable, we are only human after all.
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But it is fair to say that our process  is extensive and after a decade, we know what we are doing.
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When AI appeared we were very excited.
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A mechanical brain able to super  quickly collect information!
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So we went to work and it looked amazing!
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And then we started fact checking.
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We didn’t expect it to be perfect –  but it was way worse than we thought.
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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.
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A video about why Brown Dwarfs are the  worst and should be ashamed of themselves.
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So we got all the pro accounts of  all the AI models and got to work.
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Using deep research tools to create  a summary and overview of all the information about the failed stars, brown dwarfs.
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And wow it was great!
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Dozens of pages of outlines with unique  information nuggets and links to sources!
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Then we started to look deeper.
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More than 80% of the info and  factoids were pretty solid and we could reconstruct where they were from.
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Wikipedia, papers, legit articles.
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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.
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But we could not find where  the AI got this info from.
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Which is not automatically a bad sign – after all, the models contain pretty much all  the internet and books ever written.
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So we asked experts for input – and  they flagged the exact same facts, even asking where we found it.
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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.
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Like a bad journalist making up details to  make a story hit harder or fit a narrative.
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Now we wanted to know more and dove in deeper, reading the seemingly more solid  sources the AI had given us in full.
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One was an article from a news  site written by a human journalist – or was it?
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It had a very familiar structure  and surely purely coincidentally, read like what you get if a human  slightly changes AI wording.
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An AI essay detection tool gave it a 72% match.
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So an AI article without sources, used  as a credible source for AI research.
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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.
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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.
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Oh well. We salvaged what we could  and went back to the drawing board.
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And after a few weeks it happened.
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By pure stupid chance, we saw a brown dwarf  video popping up, by a relatively new channel.
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It had hundreds of thousands of views and  was pretty good, nice footage, great editing!
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But we had seen the structure and rhythm before.
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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.
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This is where the death of the internet begins.
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Now there is a proper source of  brown dwarf misinformation online.
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When the next AI repeats the same research, it will find a transcript from  a video with a lot of views.
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The misinformation is now true.
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It will spread.
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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.
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As AI use goes on it may become  impossible to know what is true or not.
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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.
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Casually lying to your face, often very subtly.
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When you catch it lying, it immediately  admits it, vows to never do it again.
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And then it does it again.
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As eloquent as current language  models feel, there is nobody home.
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No greater intelligence or  consciousness is talking back to you.
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Current AI is a very complex hammer that does not  understand what it is doing or what nails are.
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But we are letting it add new shelves  to the library of human knowledge.
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AI is changing quickly, so this may get  better, but right now it's pretty grim.
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Way too many people blindly trust AI.
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Studies looked into the language  of millions of scientific papers published before and after the rise of LLMs.
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They found an abrupt and sharp increase in  the frequency of words that AIs like to use.
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So it seems clear that now a significant portion  of papers have been at least assisted by AI, usually without acknowledgement.
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And just in July 2025 it was  discovered that a number of researchers had started to sneak  hidden messages into their papers.
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In white text or too small for  the human eye they prompted AIs to review them positively and not point out flaws.
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As more and more people are using AI carelessly, the library of human knowledge is  getting less and less reliable.
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Which brings us the last  part: How are we using AI?
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And will kurzgesagt survive the AI slop age?
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Will AI Slop Kill Kurzgesagt And Artists?
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On the internet there is only one truly  valuable resource: human attention.
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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.
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It could make us dumber, less informed,  our attention spans even worse, increase political divides and make  us neglect real human interaction.
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If AI eats the majority of the attention pie,  channels like ours will become unfeasible.
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Or forced to downsize or use AI themselves to be  able to compete. We don’t want to play this game.
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How will we use AI?
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Like the align tool in adobe illustrator.
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If you have a bunch of boxes and  you want them to line them up, you can do this manually, one by one.
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Or you can just select them, click “align”  and have them perfectly aligned in an instant.
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It’s the same with AI programing tools for animation or using it as a  faster google alternative.
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AI is a helpful tool, but the  creativity and integrity is still ours.
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So dear internet, here is  what we are offering to you: kurzgesagt is made by humans, for  humans and it will remain that way.
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We will produce well researched content and invest a lot of time and our human creativity  into our illustrations and animations.
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Put in our creative soul into our work.
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We will continue to fact check  and discuss our research with human experts, to give you the most  trustworthy information that we can.
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When we make mistakes, they will be our mistakes.
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We would rather quit than make AI slop.
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But to go on we need your support.
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kurzgesagt is almost 70 full time  people and a lot of freelancers on top.
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This is a lot of salaries, software  licences, laptops, rent and coffee.

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この動画で話す練習をする理由は?

このYouTube動画は、「AI Slop」がインターネットを飲み込んでいるというトピックを扱っています。このような緊迫した内容を話すことは、英語スピーキング練習において非常に有益です。特に、現代のテクノロジーや社会問題に対する英語での意見を表現する力を高めることができます。ディスカッションのトピックが多く、視聴者と意見を交わす際に必要な表現や語彙を効率的に学ぶことができます。英語でのスピーキング練習を通じて、内容を深く理解し、自分の意見を効果的に伝える能力が向上します。

文法と表現の文脈

動画内で使われている重要な文法や表現を以下に分析します。

  • 「make it harder to tell what is true」 – 内容を伝える際の条件を表すのに便利な構文です。特に、何かがどのように影響するかを議論する時に使用します。
  • 「it's never been easier to」 – これは、過去から現在にかけての比較を行い、何かの容易さを強調する表現です。
  • 「we could not find where the AI got this info from」 – 情報の出所を尋ねる際に使える便利なフレーズで、ディスカッションを深めるのに役立ちます。
  • 「we didn't expect it to be perfect, but」 – 思った結果と現実の違いを述べる際に非常に効果的な場合の文形で、英語の話し方を自然にします。

一般的な発音の罠

この動画には、いくつかの発音やアクセントのトラップがあります。特に注意すべき点は以下の通りです。

  • 「AI」 – この言葉の発音は「エーアイ」とはっきり言う必要があります。特に、非ネイティブスピーカーにとって混乱しやすい部分です。
  • 「internet」 – 「インターネット」ではなく、「インターネット」と発音することが重要です。
  • 「traffic」 – アメリカ英語では「トラフィック」と発音することが一般的ですが、他のアクセントでは異なる場合があります。

これらの発音練習を通じて、英語スピーキング練習や英語シャドーイングをよりスムーズに行うことが可能になります。YouTubeで英語学習を強化し、ナチュラルな話し方を習得するための助けになります。

この動画の文法

話し手がよく使っている文型を、動画の実際の表現とともに紹介します。

文型動画での表現
受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てるis made · has been sold · is turned
現在完了形 have/has + 過去分詞 — 過去の出来事が今も関係しているhas supercharged · It's never been · has been sold

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。

シャドーイングのやり方: ステップ別の完全ガイドを読む →