Pratique du Shadowing: The Death of Educational Content on YouTube - Apprendre l'anglais à l'oral avec la vidéo
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There's this brilliant KFC ad.
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Welcome to Chicken Town.
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Home of the imitators.
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Because when you're on top, everybody wants a piece of you.
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And lately we've been feeling a lot like KFC.
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There's this thumbnail, this one, this...
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What even is this?
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Every thumbnail we invent, every title we construct, every animation we build, sometimes entire videos.
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Countless AI slop channels relentlessly copy us.
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And one day we decided, enough is enough.
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So we investigated.
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We looked into these channels and found who's likely behind them.
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We joined a Discord community, paid 75 bucks for coaching
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and subjected our fact checking team to an unhealthy amount of
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AI misinformation spread to hundreds of thousands of people on topics like, well, the Holocaust.
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Because all of this is endangering educational content on YouTube.
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It's damaging for everyone in our niche.
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It undermines trust in journalism.
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And really, it's just so annoying.
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They think that my voice is AI.
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They even think that my face is AI generated.
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The cost of production has gone down tremendously.
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This is a new form of industrialized plagiarism and creative theft.
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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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I think a couple of years ago, a 3D thumbnail was associated to good quality content, but now it's perceived as AI slop.
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There's no wish to make something creative.
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It's just a get-rich scheme.
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AI is undoubtedly useful in many aspects of life and it's here to stay.
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We use AI tools selectively in our own organization, for example to organize and skim through our research.
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In rare cases, we use generated imagery as a basis for compositions in Photoshop if no comparable stock images are available.
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But the rise of specifically generative AI has also made it very easy to mass produce content.
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There's AI music on Spotify, terrible AI recipes and home decor on Pinterest.
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Boomers are losing their mind on Facebook.
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This is another account that I found that posts images like this.
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It always seems to be a child sculpting something very impressive out of trash
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and the people in the comments just eat this stuff up dude.
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Great work, keep it up, great talent, nice one, thanks.
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But one platform especially has become a dumping ground for AI slop.
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More than 20% of the videos YouTube's algorithm shows to new users may now be slop.
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The cost of production has gone down tremendously.
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You can have content which is not so good or reasonable in quality, which is not competing against something
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which is generated by a human who has spent a lot of time and investment and invested into acquiring his skills.
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This is Dr. Akhil Bhattwush.
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He's an associate professor at the University of Bath School of Management.
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And then you have this thing which can generate precisely that at a value of cost.
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And they're both competing.
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There's something genuinely frustrating about clicking on a video and then realizing it's just another AI voice reading an AI script
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feeding you AI visuals.
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And we reached a full circle moment when we came across this video about the invasion of AI's slop made with AI.
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The only comment reads, oh god, this video is AI too.
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The creator gave it a heart.
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And it's moments like these that make you believe the internet is really dead.
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Around 100 people work on FERN, our German channel and our German podcast.
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A dedicated team of journalists, art directors, producers, 2D and 3D animators and fact checkers.
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All to bring you that weekly dose of something to watch during lunch.
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But now, thanks to the power of AI, you can be Fern too.
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You can wear our skin and talk in our voice and walk in our shoes.
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So I'll take screenshots from Fern's video, paste them into chat GPT and simply say, regenerate this photo.
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Most people think you need to be a professional 3D designer with years of experience to create videos like this.
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Well, they're dead wrong.
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I've cracked the code, he uses a Fern idea generator, a Fern script writer and a Fern image generator.
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It's literally identical to what Fern uses and I would dare to say
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that ours could be even better than what Fern is using here as an example.
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And the best part, you don't have to be good at literally anything anymore.
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You see, I don't have that budget available to me.
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Neither do I have the skills to animate, do academic research, or I have that smooth voiceover.
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But I do know how to use AI.
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Some of it is just outrageous misinformation.
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You've probably seen channels like Fern on YouTube where everything looks like it came out of Blender.
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And when you first see it, you probably think that everyone spent weeks building it inside Blender.
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And they actually didn't.
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We actually did!
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And it just doesn't end.
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Yikes.
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Imitation is flattery, we get that.
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We've been inspired by the greats on this platform all our career.
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But to us there's a difference between countless hours in After Effects to recreate Vox style maps
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and asking a machine to just clone something.
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We get why they choose to copy our work.
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Edutainment is a good niche to target for slop gods.
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Channels are often faceless.
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The version of the animations are now replicable with AI, and people like to learn a little something while binging down a Hot Pocket.
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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.
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So of course, we're not the only edutainment channel having to deal with this.
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So when I started making videos, I very much built my channel around 3D animations and high quality visuals.
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And a few years ago, I think that was very unique and there wasn't a lot of that out there,
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But now, that very style that I based my channel off has become kind of synonymous with AI slop.
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And that's a challenge for me.
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What I've noticed is that several people in my audience look at my 3D style of thumbnails
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and they associate them to low effort content.
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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.
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I've seen videos take inspiration from my visual style before, which is fine by the way, but this was very different.
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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.
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There's even math slop, which is just oh god.
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Imagine trying to actually learn something on YouTube like it's 2017.
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our thumbnails get ripped a lot and slightly changed by slop channels, likely using AI.
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So we thought it would be funny to use AI to find matches.
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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.
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And there are so, so many.
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We confronted several of the creators of these tutorials.
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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.
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One creator stated clearly he just wanted to make money and had only briefly used Fern as an example.
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With regards to We Have Fern at Home, one AI channel stands out in particular.
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Loom.
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It's part of Loom Studio, a network of three channels.
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Loom, Rocks and Ago.
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In total they have more than 300,000 subscribers.
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Ago and Loom seem to generate quite some revenue.
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These channels regularly appropriate our thumbnails.
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They rip them and then likely let AI change or add elements.
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But sometimes they also seem to simply copy and recreate full videos of ours like this one.
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Some of their content gets over a million views.
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They also seem to take from others like MrBeast.
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In many thumbnails MrBeast gets replaced with a 3D character.
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In one instance a video with such a thumbnail got over 2 million views.
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That could equate to 11 thousand dollars in revenue.
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MrBeast even reacted to it on X.
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Did they literally just swap me on my thumbnail for a red guy and get 1.8 million views?
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What the hell lol?
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But instead of being embarrassed, Loom Studio seems to be so proud of it, they even put it on their website.
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MrBeast tweeted, we just kept going.
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We confronted Loom about this and they told us they've never reused another creator's thumbnail.
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Their content is supposedly created by their team from scratch.
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But as if all that wasn't cringe enough, Loom Studio also offers a coaching program.
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Their VIP course costs a casual $1499.
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Included a blueprint plus weekly calls with our founders.
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We review your channel, fix what's wrong and push you to your first 100k.
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They seem to be pretty experienced.
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They say they've built more than 100 faceless channels and generated over 100 million views.
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And we can see why.
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This company is run by a team of professionals.
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A lion, a wolf and a tiger.
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screams men building their AI company more than three predator mammals with sunglasses.
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The wolf conjures AI pipelines from thin air, the one who makes the machine think, create and scale so humans don't have to.
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Oh, how I hate having to be a human that thinks and creates.
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Finally, the wolf can make it stop.
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We dug deeper and found that Loom sits at the center of a small network of AI channels supporting each other.
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Yannick created this map to show how these channels are linked together.
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Whenever two channels collaborated on a video, a line connects them.
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True Crime Vault pumps out fictional true crime stories, which is just a fantastic oxymoron.
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It occasionally collaborates with other channels of the Loom network, so we suspect it could be a client of Loom Studio.
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We asked the operator via email but didn't receive a reply.
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The channels Ego, Loom, Rox and Loomicus all link to the same Instagram account of the lion Ardem.
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Just like in nature, the lion seems to be the real king behind this company.
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On Insta we find a profile with the same name, Ardem Eye, which has a link to Loom in his profile.
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Ardem often posts pictures of his vacations, for example in Dubai.
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There are luxury cars, fancy hotels, a big yard.
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Chad, how do I say something is a fat f*ing cliché without saying it?
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You could try something like, we're wandering straight into a well-worn narrative.
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Okay, got it, got it, got it.
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Yeah, yeah, yeah, sure.
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Wow, yeah, we're wandering straight into a well-worn narrative here.
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Our research team found out that Artem is probably from Ukraine.
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We found an address in the north of the country.
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He also seems to run a Ukrainian telegram channel about AI.
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In the past, he seemingly used a different last name.
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Of course, Luma are not the only ones doing business like that.
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We want to dive deeper into the scene.
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So we join a Discord channel.
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YouTube faceless generally promotes a kind of hustle culture.
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Not all of it is about AI, but quite a big part.
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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.
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AKA using AI voiceover, I think you can still get monetized.
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Directly under that comment another user links our fentanyl video.
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Where do you get the vids from?
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Fern channel.
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Can someone tell me how to get Fern?
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Let me know cypher AI voice.
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Hey, anyone here in the Fern Disrupt niche?
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I feel bad for Fern and the Fern animators, lol.
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Haha, why is that?
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Because they spend hours animating 10 to 30 seconds of footage, and some random kid with AI can replicate their quality.
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But can they really replicate our quality?
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We decide to take a course to find out.
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We aren't ready to spend one and a half thousand dollars to take the Alpha Animal coaching.
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Luckily, AI with Gary's course comes at a bargain price of $75.
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this video totally using AI-generated video and YouTube automation.
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If you already know, there's a channel called Fern, and this YouTube channel is blowing up with cinematic 3D animations.
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In their videos, they're using a lot of mannequin figures, and it's really effective for this kind of content.
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So, if you're a beginner or still stuck on creating high-quality YouTube content, you need Gary Studio to speed up your workflow.
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You also need someone with experience to teach and guide you in detail.
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Just join my community.
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So, using a fake identity, we join.
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First, we receive an email that the payment was successful.
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A few hours later, we get another email from Gary.
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He writes that we can now join school with a monthly subscription.
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We thought the $75 would unlock all materials.
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But the $75 is for content access.
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The school community requires a separate subscription, so both payments are required to join.
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We reluctantly pay another $67 and finally get access.
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We're in and uncovered a recipe for successful and captivating AI documentaries on YouTube.
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Multiple shitty Excelists.
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On top, AI with Gary provides a basic tutorial on how to produce AI videos.
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From finding your niche and choosing a style, to word-for-word prompts for writing AI scripts or generating animations.
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So far we just looked at the process.
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But what about the results?
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It's a pretty crucial aspect of edutainment after all.
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How much does it eat you?
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We bring in our head of fact checking Pascal
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because we do have a team of fact checkers who go through every single one of our scripts and look for mistakes.
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Pascal has years of experience in investigative journalism but now she faces the ultimate challenge.
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Sit through hours of slop and fact check it.
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We published this video on Fern in November 2025.
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We sent a production crew to Scott Payne to let him tell his story.
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Just boring ol' human activity.
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Just weeks later, this video went online on a channel called Black Files.
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Only seconds into the video and the opening scene is already misleading.
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In the scene the video describes, the Klansmen did not wear these robes.
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In this scene, the robes are incorrect.
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They feature a red cross within a circle, not just a red cross.
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And Pascal suspects that this entire scene is just made up by AI.
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It directly contradicts the detailed sources she could find.
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She also tried to fact check this video, but just conceded.
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Quote, the language is so weird, it is hard to fact check.
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Most sentences are not proper sentences.
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It's hard to follow.
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And yeah, yeah we get it.
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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.
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We reached out to Blackfellz for comment
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and they replied to Channel Defense's production process saying its videos
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are created by a team using AI alongside in-house technology and I've reviewed for accuracy and originality.
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They deny copying or infringing on third-party thumbnails
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but acknowledge inaccuracies in the video we referenced and say they have since updated it.
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Anyways, we can't help but wonder how these AI channels cover the Holocaust.
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This video by Ego reached more than half a million people.
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A true historical documentary about courage, moral failure and one escape that changed history forever.
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Let's start with a visual highlight prisoners inexplicably collecting, shoveling and throwing a mountain of toys into a fireplace.
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We asked a Holocaust expert about this and she told us the scene is obviously inaccurate.
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The victims' belongings like toys were taken and collected but not piled up and burned in the crematoria.
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So someone just made this up.
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Maybe the creator, maybe the AI, who knows.
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At one point the AI voice says, By 1944, his figure was staggering.
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1,750,000 victims.
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And the world did not know.
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That was the secret of the system's success.
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Secrecy.
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Lies.
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No one outside these walls knew the truth.
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That figure of 1.75 million did circulate for a while and it did come from Rudolf Werber himself,
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a man who escaped Auschwitz and whose story is covered in this true historical documentary.
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But the video fails to mention that it does not reflect the current historical consensus.
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Today historians estimate that around 1.3 million people were deported to Auschwitz between 1940
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and 1945 and around 1.1 million were murdered there.
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And it's so important to be accurate about this.
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Holocaust deniers often exploit outdated or imprecise numbers to cast doubt on the Holocaust as a whole.
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That's why videos covering this should clearly distinguish between historical estimates made at the time and the current academic consensus.
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The phrase, the world did not know, is also very misleading.
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In 1942, allied nations had already publicly declared that Germany was carrying out Hitler's so-called final solution to the Jewish question,
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the mass murder of Jews.
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Historians also believe many Germans had at least a rough idea of what was happening as information
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and rumors about the crimes circulated.
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And last but not least, we again reach a full circle AI bullshit moment when we stumble across this scene.
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No one had ever escaped from Auschwitz to tell the world the truth.
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That's incorrect, but also contradictory to Ego's own content.
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The channel had already published a video about Vitol Pilecki, another man who infiltrated and escaped Auschwitz.
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We covered that story ourselves.
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And Pilecki, as well as multiple of his comrades, escaped or bought their freedom before Werber, delivering reports about Auschwitz to the outside world.
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Maybe we shouldn't let the Wolf's machines do all the thinking and creating.
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I think with a lot of these educational AI channels, the visuals are really only half the problem.
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But a huge concern that I have is the quality of the information in those videos,
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because you can be sure they're also using AI to generate all of their scripts.
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There's one channel that recently got very popular, Chloe versus History, about a lady vlogging in the past and people love it.
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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.
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And especially with educational content, I think there's this idea that people trust the content and they walk away being informed.
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but actually they're walking away being less informed about certain topics and I think that's really bad.
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These AI channels don't seem to care about the quality or accuracy of their content.
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Their goal seems to be simply to publish as many videos as possible to make as much money as possible.
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Oh and I almost forgot we actually spoke with a person familiar with the production process behind Loom's channels.
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They told us that they indeed use AI and that two people had to produce one script per day each.
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We confronted Loom and sent them many questions.
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In their response they wrote half of this is totally fictional and 30% wrong.
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They also told us that their audience doesn't watch Fern, which we are keen to believe.
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They claim that 30 people work at their company with AI being used as a tool
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and lots of manual labor still involved.
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They were in disbelief of our apparent hate of them.
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Lastly, life is like a boomerang.
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Okay.
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There's no wish to make something creative.
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It's just a get-rich-scheme." And it's not just teenagers and Discord channels
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and cool guys who keep going even when MrBeast tweets driving the slop epidemic.
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Various AI companies seem to know exactly who their target audience is and how their products are used.
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Higgsfield offers a variety of generative AI tools and recently they uploaded this tutorial on their channel.
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I used Higgsfield AI and Claw to build a $39,500 a month faceless channel.
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I just found a faceless YouTube channel that's making almost $40,000 every single month.
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And it made me wonder, can I completely recreate this channel and build the exact same style of videos using AI?
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The 40k a month educational channel he found is Brightside.
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In case you're not familiar with Brightside, the incredible irony might be lost on you.
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Brightside is one of the OG slop factories before there was AI as we know it.
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Terrible clickbait, unhinged content pumped out every few hours.
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It's just colorful thumbnails, interesting clickable titles.
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It's.. they make things.. they make things, that's about it.
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Have you never heard of Brightside?
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Good for you.
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Brightside just straight up lies or just uses these like fear-mongering sensationalist tactics.
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Yet this is the type of content Higgsfield presents as a great opportunity to make bank with their tools.
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Educational content appeals to everyone and has huge audience retention, which is exactly what drives you monetization.
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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.
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And we can see how well that logic plays out just a few minutes later
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when he uses AI to create a video about Pompeii.
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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.
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Now, you might wonder, who would possibly want to slurp up this type of slop?
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Well, the people at Hicksfield.
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I think this video is very interesting.
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This is the kind of stuff I watch right before going to bed.
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Really puts the old saying that you should make stuff you would want to watch yourself into perspective.
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Next, the tutorial demonstrates how to make even more videos, fully generated with basically no human input.
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Okay, one video is cool, but we need more.
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So I'm just gonna type in, make me, two more videos.
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This is great news for anyone who wants to get paid by YouTube without actually making the content themselves.
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Let's launch our content machine that will bring in money.
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During a gold rush, sell shovels.
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Eleven Labs offers AI voice tools.
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And they have their very own tutorial on how to make AI B-roll that's just like Fern.
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And what do you do once you have your slop visuals in place?
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Add a slop voice.
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As he began his speech, there was a shift in the room.
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You could feel it, like the start of something important.
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During a gold rush, sell shovels.
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We sent both Hicksfield and Eleven Labs a request for comment, but didn't receive a reply.
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Let's zoom out.
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In the best case scenario, these AI productions just result in a few ridiculous visual mistakes.
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Worst case, they lead to misinformation about some of humanity's darkest times.
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And how would viewers possibly know that what they're watching is wrong?
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Pascal, seasoned investigative journalist and our head of fact checking wrote this after reviewing some of the videos.
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It is incredibly hard to verify things that never actually existed.
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Real people usually leave some kind of trace or reference point, but AI can just completely make things up.
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If it's already difficult for me, I don't think average users can realistically deal with this.
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After just checking half a video, my head was genuinely spinning.
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Luckily many people instinctively distrust AI content, but that leads to a loss of trust in real creators too.
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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,
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they even think that my face is AI generated.
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People get so anxious about slop they start to suspect it everywhere.
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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.
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So what is YouTube doing about it?
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Already in 2025 the platform updated its channel monetization policies.
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They renamed repetitious content to inauthentic content.
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Low effort, mass produced uploads shouldn't make money anymore.
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And in 2026 they updated them again with their unsatisfying or off-putting content policy.
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YouTube now targets content that feels interchangeable, emotionally manipulative or mimics existing formats.
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Great news for us, hopefully.
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YouTube also pushed towards disclosure and labeling.
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SynthID is Google DeepMind's watermarking system.
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It embeds invisible, irremovable markers into AI-generated content.
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Major generative AI companies such as OpenAI, NVIDIA, Kakao and Eleven Labs have adopted the watermark.
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With 11 labs on board, more AI-generated voices can now be automatically detected by YouTube.
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In May, the platform announced they would start automatically tagging AI-generated or AI-edited videos.
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The labels will be clearly visible under videos or in shorts.
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The goal is to make AI content easier to spot, even if creators don't disclose it.
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But of course, slop factories will try to get around the tag in demonetization.
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Hicksfield has them covered.
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And for those of you who are worried about AI content getting demonetized, YouTube has no problem with AI.
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It just blocks people who use it to make lazy low-quality spam.
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This is an unironic statement in a video demonstrating how to automatically pump out bright side style content within 20 minutes.
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We also asked YouTube about Slop directly and shared our concerns.
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And they actually got back to us saying that tackling Slop is a key priority for them.
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They also said this
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YouTube's approach to information quality has always focused on promoting high-quality content rather than fact-checking individual videos at scale,
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but under our misinformation policies we remove misleading or deceptive content with serious risk of egregious harm.
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We do believe YouTube understands what's at stake and that the platform needs to crank up the heat even further.
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Many years ago at the start of our career, YouTube was drowning in clickbait videos full of stock footage.
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That changed over time as the platform managed to measure and reward retention and watch time.
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Deceiving viewers didn't work that well anymore because YouTube would punish videos when people would click off fast.
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Optimizing for retention leads to its own problems, but generative AI feels far more threatening to overall content quality, at least for edutainment.
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This is the next thing harming the longevity of our ecosystem.
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Personally, I increasingly find myself scrolling through my recommendations, irritated at every piece of slop served to me.
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It makes me want to open the app less.
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And that can't be good.
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Contrary to some channels on YouTube, our 3D animations are made by humans.
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This is one of the artists who regularly puts in countless hours in creating them for you.
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Hi, I'm Leonard.
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When I'm creating scenes, I can easily spend a whole day sitting at my computer.
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So shoutout to Flexisport for sponsoring this video and sending me this.
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One button and I can switch from sitting to standing.
375
Creating a scene like this roughly comes down to three steps.
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Step 1, modeling.
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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.
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Step 2, animating.
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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.
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Step 3.
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Shading.
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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.
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And it's not just a work desk.
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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.
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If you want to upgrade your setup use code FERN50 for $50 off the E7 Pro.
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And if you're not sure, Flexispot offers 30-day risk-free returns and a 15-year warranty.
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Link is in the description.
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Vocabulaire et conseils d’expression pour cette leçon
Cette vidéo contient 391 phrases et 4741 mots à répéter en shadowing. La partie parlée dure 28:10. Le locuteur parle à un rythme naturel d’environ 168 mots par minute, proche d’une conversation courante. Seuls 78 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| generate verbe | /ˈd͡ʒɛn.ə.ɹeɪt/ | générer |
| creator nom | /kɹiːˈeɪ̯təː/ | créateur |
| script nom | /skɹɪpt/ | écrit |
| niche nom | /nɪt͡ʃ/ | niche |
| tutorial nom | /ˌtjuːˈtɔːɹɪəl/ | didacticiel, tutoriel |
| desk nom | /dɛsk/ | bureau, pupitre |
| wolf nom | /wʊlf/ | tombeur |
| lion nom | /ˈlaɪən/ | lion, lionne |
| countless adjectif | /ˈkaʊntləs/ | incalculable, innombrable |
| retention nom | /ɹɪˈtɛnʃən/ | rétention |
| confront verbe | /kənˈfɹʌnt/ | confronter |
| recreate verbe | /ˈɹɛk.ɹi.eɪt/ | se réjouir |
| topic nom | /ˈtɑpɪk/ | sujet, thème |
| rush verbe | /ɹʌʃ/ | se dépêcher, se hâter |
| compete verbe | /kəmˈpiːt/ | rivaliser, concourir |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| find out verbe | découvrir, savoir | |
| get over verbe | surmonter | |
| go down verbe | descendre | |
| carry out verbe | /ˈkæ.ɹi aʊt/ | sortir, transporter dehors |
| come across verbe | avoir l'air de | |
| end up verbe | se terminer, se finir | |
| go through verbe | traverser | |
| make up verbe | /ˌmeɪk ˈʌp/ | constituer, composer |
Prononciation à surveiller
Le locuteur utilise 59 contractions et formes réduites, comme don't, they're, didn't. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: thin /ˈθɪn/, smooth /smuːð/, mathematics /mæθ(.ə)ˈmæt.ɪks/, theft /θɛft/, threaten /ˈθɹɛt.n̩/
- Les sons « sh » et « zh »: retention /ɹɪˈtɛnʃən/, rush /ɹʌʃ/, associate /əˈsoʊʃi.ət/, animation /ˌæn.ɪˈmeɪ.ʃən/, subscription /səbˈskɹɪpʃən/
- Mots longs — placez bien l’accent: associate /əˈsoʊʃi.ət/, documentary /ˌdɒk.jʊˈmɛn.tɹi/, accuracy /ˈæk.jɚ.ə.si/, animation /ˌæn.ɪˈmeɪ.ʃən/, genuinely /ˈd͡ʒɛn.ju.ɪn.li/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme generate, creator, script.
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | has gone · has also made · has become |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | was associated · is generated · We've been inspired |
| Propositions relatives who / which + proposition — une précision sur une personne ou une chose | content which is · thing which can · before, which is |
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.