跟读练习: AI Slop Is Destroying The Internet - 通过视频学习英语口语

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

AI 垃圾内容正在充斥互联网，情况正迅速变得严峻起来。

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

在一个靠注意力变现的网络世界里，虚假用户会在评论区散播垃圾内容、制造虚假流量，或是扰乱正常讨论。

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

人工智能极大地加剧了这一问题，使得这类粗制滥造的内容更难被识别。

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

如今，约有一半的互联网流量来自机器人程序，其中大多数被用于破坏性目的。

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.

如今制作平庸内容简直易如反掌——从LinkedIn那毫无意义的黑洞，到那些刚好能让孩子们沉迷、摧毁他们专注力的低质短视频，再到亚马逊上无数被改写得毫无灵魂的书籍。

AI music is invading streaming platforms.

AI音乐正在入侵各大流媒体平台。

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

谷歌的人工智能正在对网站内容进行总结，而不再将流量导向这些网站。

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

在YouTube上，新频道每周会多次发布长视频，这些视频配有AI生成的缩略图、语音和脚本。

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

真实罪案、视频随笔、科学领域，没有哪个领域能幸免。

We’re in the golden era of soulless slop.

我们正处在一个充斥着毫无灵魂的垃圾内容的黄金时代。

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

令人遗憾的是，这些人工智能模型的训练实际上使用了人类的原创作品。

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

Reddit 上的每一条评论、YouTube 上的每一个原创视频，还有 DeviantArt 上的每一幅手绘作品，都已经被卖给了人工智能公司。

Or straight up stolen by them.

或者干脆就是被他们偷走的。

Without attribution or payment to the actual creators.

未向实际创作者署名或支付报酬。

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.

这种大规模的创意盗窃已经到了无法防范的地步，大量创作者的作品正因此面临威胁——而这一切只是为了让AI公司赚得盆满钵满。

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

虽然这令人难过和沮丧，但更糟糕的是，生成式AI确实有可能以不可逆转的方式颠覆互联网。

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

让人们越来越难以分辨什么是真相。

At First AI Looked Great!

起初，AI 看起来棒极了！

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

Kurzgesagt 的脚本创作始于基础研究，研究成果会转化为脚本，然后由 2 至 3 人进行深入的事实核查。

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

我们会尝试通过我们认为可靠的信息来源来核实我们的信息，最好是第一手资料，最好是学术论文。

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

然后我们会邀请1到3位专家提供意见并进行评审。

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

光是事实核查和整理资料来源，每支视频就要花费约100小时。

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

当然，我们会犯错，或者把问题过于简化，你也完全可以不认同我们的结论——这都是难免的，毕竟我们只是普通人。

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

但公平地说，我们的流程非常完善，经过十年的积累，我们已经驾轻就熟。

When AI appeared we were very excited.

当人工智能出现时，我们都非常兴奋。

A mechanical brain able to super quickly collect information!

一个能够超快速收集信息的机械大脑！

So we went to work and it looked amazing!

于是我们开始动手，最终效果看起来棒极了！

And then we started fact checking.

然后我们开始进行事实核查。

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

我们本来就没指望它能十全十美，但实际情况比我们预想的要糟糕得多。

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.

自信满满却漏洞百出——人工智能在这方面实在太差劲了。我们将把历时数月、多个项目积累的经验总结归纳，浓缩成一个虚构的项目案例。

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

这是一个讲解为什么褐矮星最不靠谱、应该感到羞愧的视频。

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

于是我们开通了所有AI模型的专业版账号，开始着手工作。

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

利用深度研究工具，整理出关于失败恒星——褐矮星的所有信息的摘要与概述。

And wow it was great!

哇，太棒了！

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

数十页大纲，包含独特的信息要点和来源链接！

Then we started to look deeper.

随后我们开始进行更深入的调查。

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

超过80%的信息和趣闻都相当可靠，我们能够追溯出它们的来源。

Wikipedia, papers, legit articles.

维基百科、学术论文、正规文章。

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.

那其他内容呢？那些都很精彩，比如褐矮星超级风暴的速度、它们内部的性质，或是它们的“母星”有多失望。

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

但我们无法找到人工智能是从哪里获得这些信息的。

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

这本身并不一定是坏事——毕竟，这些模型几乎囊括了互联网上的所有内容以及有史以来所有的书籍。

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

于是我们向专家征求意见，他们也指出了完全相同的事实，甚至还问我们是从哪里找到这些信息的。

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.

为了实现让我们感到愉悦的目标，这台人工智能虚构或推导了一些信息，让褐矮星显得比实际情况更有趣。

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

就像一个不称职的记者，为了让报道更有冲击力或者符合某种预设说法而编造细节。

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

现在我们想了解更多，于是深入探究，完整阅读了人工智能提供给我们的那些看似更可靠的来源。

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

其中一篇是来自新闻网站的文章，由人类记者撰写——但真的是这样吗？

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

它的结构非常眼熟，而且完全是巧合的是，读起来就像是人稍微修改了AI生成的文字后的样子。

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

一款AI作文检测工具给出的匹配度为72%。

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

也就是说，一篇没有引用来源的人工智能文章，反倒被当作人工智能研究的可靠参考资料。

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.

这是有道理的，因为到2025年，已经有超过1200家经确认的AI新闻网站在发布大量由AI生成的虚假信息和不实叙述。

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.

这种由正确信息、来源可疑的信息和完全编造的信息混合而成的内容，还会导致人工智能给出非常粗糙的结论，这些结论听起来很有说服力或很新颖，但往往是半真半假或存在误导的。

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

好吧，我们尽可能挽回了一些损失，然后重新开始规划。

And after a few weeks it happened.

几周后，这件事发生了。

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

完全是出于莫名其妙的巧合，我们刷到了一个由一个相对新的频道发布的关于褐矮星的视频。

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

它的播放量达到了几十万，内容非常棒，画面拍得很好，剪辑也超赞！

But we had seen the structure and rhythm before.

但我们以前见过这种结构和节奏。

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.

你看，里面包含了我们标记为不可靠或者完全是人工智能编造的所有关于褐矮星的事实。

This is where the death of the internet begins.

互联网的消亡正始于此。

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

如今网上出现了一个专门传播关于棕矮星错误信息的渠道。

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

当下一个人工智能重复同样的研究时，它会找到一份来自高播放量视频的文字记录。

The misinformation is now true.

那些虚假信息如今反倒成了事实。

It will spread.

它会扩散的。

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.

即便在人工智能出现之前，要找到那些听起来很有道理但并不真实的说法的来源就已经相当困难了——不妨看看我们那期关于一个流传了百年的谎言的视频。

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

随着人工智能的广泛应用，我们可能会越来越难以分辨什么是真相。

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.

最具腐蚀性的谎言人工智能的问题在于它看起来是多么值得信赖。它的正确率高到足以显得极其聪明，同时它犯下错误时又自信得令人难以置信。

Casually lying to your face, often very subtly.

当面随口撒谎，而且往往非常隐晦。

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

当你抓到它撒谎时，它会立刻承认，并发誓再也不这么做了。

And then it does it again.

然后它又这样做了一遍。

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

尽管现有的语言模型给人感觉表达能力很强，但它们实际上并没有真正的意识。

No greater intelligence or consciousness is talking back to you.

并没有什么更高等的智慧或意识在回应你。

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

当前的人工智能就像一把极其复杂的锤子，它根本不明白自己在做什么，也不知道什么是钉子。

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

但我们正任由它为人类知识的宝库增添新的书架。

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

人工智能发展得很快，所以这种情况可能会有所改善，但目前来说还是相当糟糕的。

Way too many people blindly trust AI.

有太多人盲目信任人工智能了。

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

这些研究分析了大语言模型兴起前后发表的数百万篇科学论文的语言特征。

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

他们发现，人工智能常用词汇的出现频率出现了突然而急剧的上升。

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

因此，很明显，现在有相当一部分论文至少得到了人工智能的协助，而且通常没有得到说明。

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

就在2025年7月，人们发现有不少研究人员开始在他们的论文中偷偷加入隐藏信息。

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

他们用白色文字或小到肉眼难以辨认的字体，提示人工智能给出正面评价，不要指出缺陷。

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

随着越来越多的人不加谨慎地使用人工智能，人类的知识储备正变得越来越不可靠。

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

这就引出了最后一个部分：我们是如何使用人工智能的？

And will kurzgesagt survive the AI slop age?

那么Kurzgesagt能在AI生成的垃圾内容时代存活下来吗？

Will AI Slop Kill Kurzgesagt And Artists?

AI 垃圾内容会扼杀 Kurzgesagt 和艺术家吗？

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

互联网上只有一种真正有价值的资源：人类的注意力。

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.

如果当前趋势持续下去，那些廉价的粗制滥造内容、仅仅够及格线的东西会占据人类大部分注意力，这并非天方夜谭。

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

它可能会让我们变得更愚笨、见闻更浅薄、注意力持续时间更短、加剧政治分歧，并让我们忽视真实的人际互动。

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

如果人工智能占据了大部分注意力份额，我们这类频道将难以维持运营。

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

否则他们要么被迫缩减规模，要么自己也使用AI才能参与竞争。我们不想玩这种游戏。

How will we use AI?

我们将如何使用人工智能？

Like the align tool in adobe illustrator.

就像Adobe Illustrator里的对齐工具一样。

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

如果你有一堆箱子，想把它们排成一排，你可以一个一个地手动摆放。

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

或者你也可以直接选中它们，点击“对齐”，瞬间就能让它们完美对齐。

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

动画领域的AI编程工具，或是将其用作更高效的谷歌替代工具，情况也同样如此。

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

AI 是一个有用的工具，但创造力和诚信仍然属于我们。

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

亲爱的网友们，在此我们向大家作出承诺：Kurzgesagt 是由人类为人类创作的，并且将永远保持这一原则。

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

我们将制作经过充分调研的内容，并投入大量时间和人力创意来打造我们的插图和动画。

Put in our creative soul into our work.

我们将创意灵魂倾注到工作中。

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

我们将继续进行事实核查，并与人类专家讨论我们的研究，以尽可能为您提供最值得信赖的信息。

When we make mistakes, they will be our mistakes.

当我们犯错时，那些错误将由我们自己承担。

100

We would rather quit than make AI slop.

我们宁愿停手也不愿制作粗制滥造的AI内容。

101

But to go on we need your support.

但要继续下去，我们需要您的支持。

102

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

Kurzgesagt 现在有近70名全职员工，此外还有大量自由职业者。

103

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

这包括了大量的薪资、软件许可证、笔记本电脑、租金和咖啡费用。

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关于本课

在本节课程中，学习者将练习听力和口语，通过分析与AI相关的互联网内容，帮助提高英语发音和流利度。这种练习将使您更好地理解如何在数字时代识别信息的真伪，同时掌握更复杂的英文表达。您将接触到AI技术影响下的内容创作，了解在互联网信息泛滥的环境中如何以清晰有效的方式进行交流。

重要词汇与短语

AI Slop（AI垃圾）
互联网流量（Internet traffic）
假用户（Fake users）
创作盗窃（Creative theft）
真实信息（True information）
信息来源（Sources）
内容创作（Content creation）

练习技巧

在进行口语练习时，请遵循以下建议，以提高您的英语能力：

利用shadow speech技术，与视频音频双向对照练习，注意语音语调。
当视频节奏加快时，尝试在1.5倍速播放，这样可以帮助您适应自然语速，提高反应能力。
强调关键短语时，可以暂停重放，模仿发音和节奏，对提高提高英语发音非常有帮助。
观看完视频后，尝试用自己的话复述内容，这样可以强化您的理解和表达能力，适合于雅思口语练习。
并针对视频中特定的内容，进行深入的讨论或写作练习，来巩固您所学的关键词汇。

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
被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的	is made · has been sold · is turned
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	has supercharged · It's never been · has been sold

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: AI Slop Is Destroying The Internet - 通过视频学习英语口语

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关于本课

重要词汇与短语

练习技巧

视频中的语法

什么是跟读法？