Практика Shadowing: The Death of Educational Content on YouTube - Изучайте разговорный английский по видео

Выберите режим практики

Каждый режим открывает полноэкранную комнату практики.

391 предложений

Если предложения слишком короткие или длинные, нажмите Edit, чтобы их изменить.

There's this brilliant KFC ad.

Welcome to Chicken Town.

Home of the imitators.

Because when you're on top, everybody wants a piece of you.

And lately we've been feeling a lot like KFC.

There's this thumbnail, this one, this...

What even is this?

Every thumbnail we invent, every title we construct, every animation we build, sometimes entire videos.

Countless AI slop channels relentlessly copy us.

And one day we decided, enough is enough.

So we investigated.

We looked into these channels and found who's likely behind them.

We joined a Discord community, paid 75 bucks for coaching

and subjected our fact checking team to an unhealthy amount of

AI misinformation spread to hundreds of thousands of people on topics like, well, the Holocaust.

Because all of this is endangering educational content on YouTube.

It's damaging for everyone in our niche.

It undermines trust in journalism.

And really, it's just so annoying.

They think that my voice is AI.

They even think that my face is AI generated.

The cost of production has gone down tremendously.

This is a new form of industrialized plagiarism and creative theft.

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

We're in the golden era of soulless slop.

I think a couple of years ago, a 3D thumbnail was associated to good quality content, but now it's perceived as AI slop.

There's no wish to make something creative.

It's just a get-rich scheme.

AI is undoubtedly useful in many aspects of life and it's here to stay.

We use AI tools selectively in our own organization, for example to organize and skim through our research.

In rare cases, we use generated imagery as a basis for compositions in Photoshop if no comparable stock images are available.

But the rise of specifically generative AI has also made it very easy to mass produce content.

There's AI music on Spotify, terrible AI recipes and home decor on Pinterest.

Boomers are losing their mind on Facebook.

This is another account that I found that posts images like this.

It always seems to be a child sculpting something very impressive out of trash

and the people in the comments just eat this stuff up dude.

Great work, keep it up, great talent, nice one, thanks.

But one platform especially has become a dumping ground for AI slop.

More than 20% of the videos YouTube's algorithm shows to new users may now be slop.

The cost of production has gone down tremendously.

You can have content which is not so good or reasonable in quality, which is not competing against something

which is generated by a human who has spent a lot of time and investment and invested into acquiring his skills.

This is Dr. Akhil Bhattwush.

He's an associate professor at the University of Bath School of Management.

And then you have this thing which can generate precisely that at a value of cost.

And they're both competing.

There's something genuinely frustrating about clicking on a video and then realizing it's just another AI voice reading an AI script

feeding you AI visuals.

And we reached a full circle moment when we came across this video about the invasion of AI's slop made with AI.

The only comment reads, oh god, this video is AI too.

The creator gave it a heart.

And it's moments like these that make you believe the internet is really dead.

Around 100 people work on FERN, our German channel and our German podcast.

A dedicated team of journalists, art directors, producers, 2D and 3D animators and fact checkers.

All to bring you that weekly dose of something to watch during lunch.

But now, thanks to the power of AI, you can be Fern too.

You can wear our skin and talk in our voice and walk in our shoes.

So I'll take screenshots from Fern's video, paste them into chat GPT and simply say, regenerate this photo.

Most people think you need to be a professional 3D designer with years of experience to create videos like this.

Well, they're dead wrong.

I've cracked the code, he uses a Fern idea generator, a Fern script writer and a Fern image generator.

It's literally identical to what Fern uses and I would dare to say

that ours could be even better than what Fern is using here as an example.

And the best part, you don't have to be good at literally anything anymore.

You see, I don't have that budget available to me.

Neither do I have the skills to animate, do academic research, or I have that smooth voiceover.

But I do know how to use AI.

Some of it is just outrageous misinformation.

You've probably seen channels like Fern on YouTube where everything looks like it came out of Blender.

And when you first see it, you probably think that everyone spent weeks building it inside Blender.

And they actually didn't.

We actually did!

And it just doesn't end.

Yikes.

Imitation is flattery, we get that.

We've been inspired by the greats on this platform all our career.

But to us there's a difference between countless hours in After Effects to recreate Vox style maps

and asking a machine to just clone something.

We get why they choose to copy our work.

Edutainment is a good niche to target for slop gods.

Channels are often faceless.

The version of the animations are now replicable with AI, and people like to learn a little something while binging down a Hot Pocket.

The thumbnails don't rely on the creator's face, so you can fool people into thinking any considerable effort went into whatever your chain of tools spit out.

So of course, we're not the only edutainment channel having to deal with this.

So when I started making videos, I very much built my channel around 3D animations and high quality visuals.

And a few years ago, I think that was very unique and there wasn't a lot of that out there,

But now, that very style that I based my channel off has become kind of synonymous with AI slop.

And that's a challenge for me.

What I've noticed is that several people in my audience look at my 3D style of thumbnails

and they associate them to low effort content.

And my videos take a couple of months to research and produce, so I'm struggling a bit to convey that in the thumbnail, while keeping it attractive enough to get clicks.

I've seen videos take inspiration from my visual style before, which is fine by the way, but this was very different.

These visuals weren't just recreated in some animation software to look like mine, they were literally the same scenes with just a few things changed.

There's even math slop, which is just oh god.

Imagine trying to actually learn something on YouTube like it's 2017.

our thumbnails get ripped a lot and slightly changed by slop channels, likely using AI.

So we thought it would be funny to use AI to find matches.

Yannick, our data guy, because we actually have talented humans working here, set up a program to identify cases in which our thumbnails get lifted.

100

And there are so, so many.

101

We confronted several of the creators of these tutorials.

102

Some took down their videos afterward, others explained that they didn't earn money from their tutorials and others considered the tutorials free marketing for us.

103

One creator stated clearly he just wanted to make money and had only briefly used Fern as an example.

104

With regards to We Have Fern at Home, one AI channel stands out in particular.

105

Loom.

106

It's part of Loom Studio, a network of three channels.

107

Loom, Rocks and Ago.

108

In total they have more than 300,000 subscribers.

109

Ago and Loom seem to generate quite some revenue.

110

These channels regularly appropriate our thumbnails.

111

They rip them and then likely let AI change or add elements.

112

But sometimes they also seem to simply copy and recreate full videos of ours like this one.

113

Some of their content gets over a million views.

114

They also seem to take from others like MrBeast.

115

In many thumbnails MrBeast gets replaced with a 3D character.

116

In one instance a video with such a thumbnail got over 2 million views.

117

That could equate to 11 thousand dollars in revenue.

118

MrBeast even reacted to it on X.

119

Did they literally just swap me on my thumbnail for a red guy and get 1.8 million views?

120

What the hell lol?

121

But instead of being embarrassed, Loom Studio seems to be so proud of it, they even put it on their website.

122

MrBeast tweeted, we just kept going.

123

We confronted Loom about this and they told us they've never reused another creator's thumbnail.

124

Their content is supposedly created by their team from scratch.

125

But as if all that wasn't cringe enough, Loom Studio also offers a coaching program.

126

Their VIP course costs a casual $1499.

127

Included a blueprint plus weekly calls with our founders.

128

We review your channel, fix what's wrong and push you to your first 100k.

129

They seem to be pretty experienced.

130

They say they've built more than 100 faceless channels and generated over 100 million views.

131

And we can see why.

132

This company is run by a team of professionals.

133

A lion, a wolf and a tiger.

134

screams men building their AI company more than three predator mammals with sunglasses.

135

The wolf conjures AI pipelines from thin air, the one who makes the machine think, create and scale so humans don't have to.

136

Oh, how I hate having to be a human that thinks and creates.

137

Finally, the wolf can make it stop.

138

We dug deeper and found that Loom sits at the center of a small network of AI channels supporting each other.

139

Yannick created this map to show how these channels are linked together.

140

Whenever two channels collaborated on a video, a line connects them.

141

True Crime Vault pumps out fictional true crime stories, which is just a fantastic oxymoron.

142

It occasionally collaborates with other channels of the Loom network, so we suspect it could be a client of Loom Studio.

143

We asked the operator via email but didn't receive a reply.

144

The channels Ego, Loom, Rox and Loomicus all link to the same Instagram account of the lion Ardem.

145

Just like in nature, the lion seems to be the real king behind this company.

146

On Insta we find a profile with the same name, Ardem Eye, which has a link to Loom in his profile.

147

Ardem often posts pictures of his vacations, for example in Dubai.

148

There are luxury cars, fancy hotels, a big yard.

149

Chad, how do I say something is a fat f*ing cliché without saying it?

150

You could try something like, we're wandering straight into a well-worn narrative.

151

Okay, got it, got it, got it.

152

Yeah, yeah, yeah, sure.

153

Wow, yeah, we're wandering straight into a well-worn narrative here.

154

Our research team found out that Artem is probably from Ukraine.

155

We found an address in the north of the country.

156

He also seems to run a Ukrainian telegram channel about AI.

157

In the past, he seemingly used a different last name.

158

Of course, Luma are not the only ones doing business like that.

159

We want to dive deeper into the scene.

160

So we join a Discord channel.

161

YouTube faceless generally promotes a kind of hustle culture.

162

Not all of it is about AI, but quite a big part.

163

I've tried doing AI generated videos, but I think it's just easier to steal people's content as long as you react to the video.

164

AKA using AI voiceover, I think you can still get monetized.

165

Directly under that comment another user links our fentanyl video.

166

Where do you get the vids from?

167

Fern channel.

168

Can someone tell me how to get Fern?

169

Let me know cypher AI voice.

170

Hey, anyone here in the Fern Disrupt niche?

171

I feel bad for Fern and the Fern animators, lol.

172

Haha, why is that?

173

Because they spend hours animating 10 to 30 seconds of footage, and some random kid with AI can replicate their quality.

174

But can they really replicate our quality?

175

We decide to take a course to find out.

176

We aren't ready to spend one and a half thousand dollars to take the Alpha Animal coaching.

177

Luckily, AI with Gary's course comes at a bargain price of $75.

178

this video totally using AI-generated video and YouTube automation.

179

If you already know, there's a channel called Fern, and this YouTube channel is blowing up with cinematic 3D animations.

180

In their videos, they're using a lot of mannequin figures, and it's really effective for this kind of content.

181

So, if you're a beginner or still stuck on creating high-quality YouTube content, you need Gary Studio to speed up your workflow.

182

You also need someone with experience to teach and guide you in detail.

183

Just join my community.

184

So, using a fake identity, we join.

185

First, we receive an email that the payment was successful.

186

A few hours later, we get another email from Gary.

187

He writes that we can now join school with a monthly subscription.

188

We thought the $75 would unlock all materials.

189

But the $75 is for content access.

190

The school community requires a separate subscription, so both payments are required to join.

191

We reluctantly pay another $67 and finally get access.

192

We're in and uncovered a recipe for successful and captivating AI documentaries on YouTube.

193

Multiple shitty Excelists.

194

On top, AI with Gary provides a basic tutorial on how to produce AI videos.

195

From finding your niche and choosing a style, to word-for-word prompts for writing AI scripts or generating animations.

196

So far we just looked at the process.

197

But what about the results?

198

It's a pretty crucial aspect of edutainment after all.

199

How much does it eat you?

200

We bring in our head of fact checking Pascal

201

because we do have a team of fact checkers who go through every single one of our scripts and look for mistakes.

202

Pascal has years of experience in investigative journalism but now she faces the ultimate challenge.

203

Sit through hours of slop and fact check it.

204

We published this video on Fern in November 2025.

205

We sent a production crew to Scott Payne to let him tell his story.

206

Just boring ol' human activity.

207

Just weeks later, this video went online on a channel called Black Files.

208

Only seconds into the video and the opening scene is already misleading.

209

In the scene the video describes, the Klansmen did not wear these robes.

210

In this scene, the robes are incorrect.

211

They feature a red cross within a circle, not just a red cross.

212

And Pascal suspects that this entire scene is just made up by AI.

213

It directly contradicts the detailed sources she could find.

214

She also tried to fact check this video, but just conceded.

215

Quote, the language is so weird, it is hard to fact check.

216

Most sentences are not proper sentences.

217

It's hard to follow.

218

And yeah, yeah we get it.

219

This last example might be funny because it's bad, but factual errors and apparent hallucinations and content covering hate groups like the KKK are highly problematic.

220

We reached out to Blackfellz for comment

221

and they replied to Channel Defense's production process saying its videos

222

are created by a team using AI alongside in-house technology and I've reviewed for accuracy and originality.

223

They deny copying or infringing on third-party thumbnails

224

but acknowledge inaccuracies in the video we referenced and say they have since updated it.

225

Anyways, we can't help but wonder how these AI channels cover the Holocaust.

226

This video by Ego reached more than half a million people.

227

A true historical documentary about courage, moral failure and one escape that changed history forever.

228

Let's start with a visual highlight prisoners inexplicably collecting, shoveling and throwing a mountain of toys into a fireplace.

229

We asked a Holocaust expert about this and she told us the scene is obviously inaccurate.

230

The victims' belongings like toys were taken and collected but not piled up and burned in the crematoria.

231

So someone just made this up.

232

Maybe the creator, maybe the AI, who knows.

233

At one point the AI voice says, By 1944, his figure was staggering.

234

1,750,000 victims.

235

And the world did not know.

236

That was the secret of the system's success.

237

Secrecy.

238

Lies.

239

No one outside these walls knew the truth.

240

That figure of 1.75 million did circulate for a while and it did come from Rudolf Werber himself,

241

a man who escaped Auschwitz and whose story is covered in this true historical documentary.

242

But the video fails to mention that it does not reflect the current historical consensus.

243

Today historians estimate that around 1.3 million people were deported to Auschwitz between 1940

244

and 1945 and around 1.1 million were murdered there.

245

And it's so important to be accurate about this.

246

Holocaust deniers often exploit outdated or imprecise numbers to cast doubt on the Holocaust as a whole.

247

That's why videos covering this should clearly distinguish between historical estimates made at the time and the current academic consensus.

248

The phrase, the world did not know, is also very misleading.

249

In 1942, allied nations had already publicly declared that Germany was carrying out Hitler's so-called final solution to the Jewish question,

250

the mass murder of Jews.

251

Historians also believe many Germans had at least a rough idea of what was happening as information

252

and rumors about the crimes circulated.

253

And last but not least, we again reach a full circle AI bullshit moment when we stumble across this scene.

254

No one had ever escaped from Auschwitz to tell the world the truth.

255

That's incorrect, but also contradictory to Ego's own content.

256

The channel had already published a video about Vitol Pilecki, another man who infiltrated and escaped Auschwitz.

257

We covered that story ourselves.

258

And Pilecki, as well as multiple of his comrades, escaped or bought their freedom before Werber, delivering reports about Auschwitz to the outside world.

259

Maybe we shouldn't let the Wolf's machines do all the thinking and creating.

260

I think with a lot of these educational AI channels, the visuals are really only half the problem.

261

But a huge concern that I have is the quality of the information in those videos,

262

because you can be sure they're also using AI to generate all of their scripts.

263

There's one channel that recently got very popular, Chloe versus History, about a lady vlogging in the past and people love it.

264

But if you actually look at what she's saying, if you look at the details, if you look at the whole story, almost everything is wrong.

265

And especially with educational content, I think there's this idea that people trust the content and they walk away being informed.

266

but actually they're walking away being less informed about certain topics and I think that's really bad.

267

These AI channels don't seem to care about the quality or accuracy of their content.

268

Their goal seems to be simply to publish as many videos as possible to make as much money as possible.

269

Oh and I almost forgot we actually spoke with a person familiar with the production process behind Loom's channels.

270

They told us that they indeed use AI and that two people had to produce one script per day each.

271

We confronted Loom and sent them many questions.

272

In their response they wrote half of this is totally fictional and 30% wrong.

273

They also told us that their audience doesn't watch Fern, which we are keen to believe.

274

They claim that 30 people work at their company with AI being used as a tool

275

and lots of manual labor still involved.

276

They were in disbelief of our apparent hate of them.

277

Lastly, life is like a boomerang.

278

Okay.

279

There's no wish to make something creative.

280

It's just a get-rich-scheme." And it's not just teenagers and Discord channels

281

and cool guys who keep going even when MrBeast tweets driving the slop epidemic.

282

Various AI companies seem to know exactly who their target audience is and how their products are used.

283

Higgsfield offers a variety of generative AI tools and recently they uploaded this tutorial on their channel.

284

I used Higgsfield AI and Claw to build a $39,500 a month faceless channel.

285

I just found a faceless YouTube channel that's making almost $40,000 every single month.

286

And it made me wonder, can I completely recreate this channel and build the exact same style of videos using AI?

287

The 40k a month educational channel he found is Brightside.

288

In case you're not familiar with Brightside, the incredible irony might be lost on you.

289

Brightside is one of the OG slop factories before there was AI as we know it.

290

Terrible clickbait, unhinged content pumped out every few hours.

291

It's just colorful thumbnails, interesting clickable titles.

292

It's.. they make things.. they make things, that's about it.

293

Have you never heard of Brightside?

294

Good for you.

295

Brightside just straight up lies or just uses these like fear-mongering sensationalist tactics.

296

Yet this is the type of content Higgsfield presents as a great opportunity to make bank with their tools.

297

Educational content appeals to everyone and has huge audience retention, which is exactly what drives you monetization.

298

In this brave new world, educational videos obviously aren't made to educate, they're simply the most lucrative niche to make as much money as possible.

299

And we can see how well that logic plays out just a few minutes later

300

when he uses AI to create a video about Pompeii.

301

We could spend minutes explaining how much is wrong with these glass jars, but simply put, they just didn't exist in this form in Pompeii in 79 AD.

302

Now, you might wonder, who would possibly want to slurp up this type of slop?

303

Well, the people at Hicksfield.

304

I think this video is very interesting.

305

This is the kind of stuff I watch right before going to bed.

306

Really puts the old saying that you should make stuff you would want to watch yourself into perspective.

307

Next, the tutorial demonstrates how to make even more videos, fully generated with basically no human input.

308

Okay, one video is cool, but we need more.

309

So I'm just gonna type in, make me, two more videos.

310

This is great news for anyone who wants to get paid by YouTube without actually making the content themselves.

311

Let's launch our content machine that will bring in money.

312

During a gold rush, sell shovels.

313

Eleven Labs offers AI voice tools.

314

And they have their very own tutorial on how to make AI B-roll that's just like Fern.

315

And what do you do once you have your slop visuals in place?

316

Add a slop voice.

317

As he began his speech, there was a shift in the room.

318

You could feel it, like the start of something important.

319

During a gold rush, sell shovels.

320

We sent both Hicksfield and Eleven Labs a request for comment, but didn't receive a reply.

321

Let's zoom out.

322

In the best case scenario, these AI productions just result in a few ridiculous visual mistakes.

323

Worst case, they lead to misinformation about some of humanity's darkest times.

324

And how would viewers possibly know that what they're watching is wrong?

325

Pascal, seasoned investigative journalist and our head of fact checking wrote this after reviewing some of the videos.

326

It is incredibly hard to verify things that never actually existed.

327

Real people usually leave some kind of trace or reference point, but AI can just completely make things up.

328

If it's already difficult for me, I don't think average users can realistically deal with this.

329

After just checking half a video, my head was genuinely spinning.

330

Luckily many people instinctively distrust AI content, but that leads to a loss of trust in real creators too.

331

I get comments on my videos all the time where people think that the 3d animations are made using AI, they think that my voice is AI,

332

they even think that my face is AI generated.

333

People get so anxious about slop they start to suspect it everywhere.

334

If YouTube lets this kind of content go unchecked and allows its creators to profit from it, in the long run it could damage the platform's reputation and value proposition.

335

So what is YouTube doing about it?

336

Already in 2025 the platform updated its channel monetization policies.

337

They renamed repetitious content to inauthentic content.

338

Low effort, mass produced uploads shouldn't make money anymore.

339

And in 2026 they updated them again with their unsatisfying or off-putting content policy.

340

YouTube now targets content that feels interchangeable, emotionally manipulative or mimics existing formats.

341

Great news for us, hopefully.

342

YouTube also pushed towards disclosure and labeling.

343

SynthID is Google DeepMind's watermarking system.

344

It embeds invisible, irremovable markers into AI-generated content.

345

Major generative AI companies such as OpenAI, NVIDIA, Kakao and Eleven Labs have adopted the watermark.

346

With 11 labs on board, more AI-generated voices can now be automatically detected by YouTube.

347

In May, the platform announced they would start automatically tagging AI-generated or AI-edited videos.

348

The labels will be clearly visible under videos or in shorts.

349

The goal is to make AI content easier to spot, even if creators don't disclose it.

350

But of course, slop factories will try to get around the tag in demonetization.

351

Hicksfield has them covered.

352

And for those of you who are worried about AI content getting demonetized, YouTube has no problem with AI.

353

It just blocks people who use it to make lazy low-quality spam.

354

This is an unironic statement in a video demonstrating how to automatically pump out bright side style content within 20 minutes.

355

We also asked YouTube about Slop directly and shared our concerns.

356

And they actually got back to us saying that tackling Slop is a key priority for them.

357

They also said this

358

YouTube's approach to information quality has always focused on promoting high-quality content rather than fact-checking individual videos at scale,

359

but under our misinformation policies we remove misleading or deceptive content with serious risk of egregious harm.

360

We do believe YouTube understands what's at stake and that the platform needs to crank up the heat even further.

361

Many years ago at the start of our career, YouTube was drowning in clickbait videos full of stock footage.

362

That changed over time as the platform managed to measure and reward retention and watch time.

363

Deceiving viewers didn't work that well anymore because YouTube would punish videos when people would click off fast.

364

Optimizing for retention leads to its own problems, but generative AI feels far more threatening to overall content quality, at least for edutainment.

365

This is the next thing harming the longevity of our ecosystem.

366

Personally, I increasingly find myself scrolling through my recommendations, irritated at every piece of slop served to me.

367

It makes me want to open the app less.

368

And that can't be good.

369

Contrary to some channels on YouTube, our 3D animations are made by humans.

370

This is one of the artists who regularly puts in countless hours in creating them for you.

371

Hi, I'm Leonard.

372

When I'm creating scenes, I can easily spend a whole day sitting at my computer.

373

So shoutout to Flexisport for sponsoring this video and sending me this.

374

One button and I can switch from sitting to standing.

375

Creating a scene like this roughly comes down to three steps.

376

Step 1, modeling.

377

It's similar to the real thing.

378

I stack simple cubes to block out the desk, then rest the set with a plant, computer and a display, the usual clutter.

379

Step 2, animating.

380

This desk actually moves, so I have to animate the legs sliding into each other, with a little ease out, so it doesn't feel robotic.

381

It's a three-stage frame, so it adjusts to you, no matter if you're 5'2 or 6'5.

382

Step 3.

383

Shading.

384

It looks a bit bland still.

385

I've got the white oak, but if you want something even more premium, they have great options for 100% solid wood desktops.

386

And it's not just a work desk.

387

It can be a gaming station, a dining table, or where all your stuff ends up living.

388

Mine's basically all three and even when I completely load it up, it's still really solid and stable.

389

If you want to upgrade your setup use code FERN50 for $50 off the E7 Pro.

390

And if you're not sure, Flexispot offers 30-day risk-free returns and a 15-year warranty.

391

Link is in the description.

Скачать приложение

Всё для свободной речи

ИИ-оценка произношенияОценка каждой фразы

Практика IPAОсвойте каждый звук

СловарьСоберите свой словарный запас

Игра со словамиУчитесь играя

Сканировать QR

Download on theApp Store Get it onGoogle Play

Тот же канал

FOR YOU

Лексика и советы по произношению к этому уроку

В этом видео 391 предложений и 4741 слов для шедоуинга. Речь длится 28:10. Говорящий говорит в естественном темпе, около 168 слов в минуту, близком к повседневной речи. Только 78% слов входят в 3000 самых частых слов английского языка, поэтому лексика сложная.

Ключевая лексика этого видео

15 слов из видео, которые стоит выучить, с произношением и значением:

Слово	Произношение	Значение
generate глагол	/ˈd͡ʒɛn.ə.ɹeɪt/	порожда́ть, производи́ть
creator существительное	/kɹiːˈeɪ̯təː/	созда́тель, творе́ц
script существительное	/skɹɪpt/	скрипт, письмо́
niche существительное	/nɪt͡ʃ/	ни́ша
tutorial существительное	/ˌtjuːˈtɔːɹɪəl/	посо́бие, уче́бник
desk существительное	/dɛsk/	пи́сьменный стол, стол
wolf существительное	/wʊlf/	волк, волчи́ца
lion существительное	/ˈlaɪən/	лев, льви́ца
countless прилагательное	/ˈkaʊntləs/	бессчётный, бесчи́сленный
retention существительное	/ɹɪˈtɛnʃən/	удержа́ние, удержива́ние
confront глагол	/kənˈfɹʌnt/	противостоя́ть
topic существительное	/ˈtɑpɪk/	те́ма, предме́т
rush глагол	/ɹʌʃ/	спеши́ть, поспеши́ть
associate существительное	/əˈsoʊʃi.ət/	партнёр, партнёрша
compete глагол	/kəmˈpiːt/	соревнова́ться, состяза́ться

Фразовые глаголы, которые вы услышите

Слово	Произношение	Значение
find out глагол		узнава́ть, узна́ть
get over глагол		преодолева́ть, преодоле́ть
go down глагол		спуска́ться, спусти́ться
carry out глагол	/ˈkæ.ɹi aʊt/	выноси́ть, вы́нести
come down to глагол		спадать до
end up глагол		зака́нчиваться, зако́нчиться
make up глагол	/ˌmeɪk ˈʌp/	составля́ть, соста́вить
pile up глагол		нагроможда́ть, нагромозди́ть

Произношение, на которое стоит обратить внимание

Говорящий использует 59 сокращённых и редуцированных форм, например don't, they're, didn't. Произносите их коротко, так, как слышите.

Звуки «th»: thin /ˈθɪn/, smooth /smuːð/, mathematics /mæθ(.ə)ˈmæt.ɪks/, theft /θɛft/, threaten /ˈθɹɛt.n̩/
Звуки «sh» и «zh»: retention /ɹɪˈtɛnʃən/, rush /ɹʌʃ/, associate /əˈsoʊʃi.ət/, animation /ˌæn.ɪˈmeɪ.ʃən/, subscription /səbˈskɹɪpʃən/
Длинные слова — следите за ударением: associate /əˈsoʊʃi.ət/, documentary /ˌdɒk.jʊˈmɛn.tɹi/, accuracy /ˈæk.jɚ.ə.si/, animation /ˌæn.ɪˈmeɪ.ʃən/, genuinely /ˈd͡ʒɛn.ju.ɪn.li/

Как заниматься с этим видео

Прослушайте всё видео один раз молча и выпишите незнакомые слова.
Начните со скорости 0,75×, повторяйте предложение за предложением и вернитесь к обычной скорости, когда станет легко.
Запишите себя и сравните с оригиналом, обращая внимание на такие слова, как generate, creator, script.

Грамматика в этом видео

Конструкции, которые говорящий использует чаще всего, с точными словами из видео:

Конструкция	В видео
Present Perfect have/has + причастие прошедшего времени — прошлое действие, важное сейчас	has gone · has also made · has become
Пассивный залог be + причастие прошедшего времени — важно, что происходит, а не кто это делает	was associated · is generated · We've been inspired
Придаточные определительные who / which + предложение — уточнение о человеке или предмете	content which is · thing which can · before, which is

Что такое техника Shadowing?

Shadowing — это научно обоснованная техника изучения языка, изначально разработанная для подготовки профессиональных переводчиков и популяризированная полиглотом доктором Александром Аргуэльесом. Метод прост, но эффективен: вы слушаете аудио на английском от носителей языка и немедленно повторяете вслух — как тень, следующая за говорящим с задержкой в 1–2 секунды. В отличие от пассивного прослушивания или грамматических упражнений, Shadowing заставляет мозг и мышцы рта одновременно обрабатывать и воспроизводить реальные речевые паттерны. Исследования показывают, что это значительно улучшает точность произношения, интонацию, ритм, связную речь, понимание на слух и беглость речи — что делает его одним из самых эффективных методов для подготовки к IELTS Speaking и реального общения на английском.

Техника шедоуинга: читать полное пошаговое руководство →

Практика Shadowing: The Death of Educational Content on YouTube - Изучайте разговорный английский по видео

Выберите режим практики

Скачать приложение

Тот же канал

The Only Nazi Hitler Feared

The Hunt for the Charlie Kirk Shooter

Hitler's Insane Train

How Were the Pyramids Actually Built?

The Mutated Animals of Chernobyl

The Dirty Business Behind Caffeine

How Iran’s Leader Was Killed

The Hunt for America's Smartest Killer

The Unsolved Murder in Room 1046

The World's Deadliest Child

Рекомендуемое видео

This Scriptless Speaking Style Is Quietly Blowing Up on YouTube

How AI Became More Expensive Than The Workers It Replaced

Modrinth Just BANNED AI Mods

AI Ads Are Out of Control

How the Algorithm Hijacked Monkey’s Brain (Why Monkey Can’t Learn Online)

WTF Is Happening To The Video Game Industry?

Is AI Doom Real... or Just Good Marketing?

How To Actually Monetize Claude (4 Ways That Work In 2026)

AI is flooding the internet—here’s what I’m protecting

Rage Bait RUINED The Internet.

Why everyone is quitting social media

J*b hunting in the big '26