A Massive Breach Reveals the Truth Behind 'Secret Desires AI'

26 Nov 2025 · 55 min

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The 404 Media Podcast: Episode Summary

Episode Title

A Massive Breach Reveals the Truth Behind 'Secret Desires AI'

Description This episode delves into the implications of a significant data breach involving an AI chatbot service called Secret Desires AI, which was used to create non-consensual intimate imagery. The hosts also discuss the broader issues related to online disinformation and the implications of a recent feature on X (formerly Twitter) that reveals the geographical origin of account holders.

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Key Topics Covered

  1. Introduction and Housekeeping
  2. Hosts: Joseph, Sam, Emanuel, and Jason.
  3. Listener Survey: A call for listeners to complete a survey to help the company understand their audience better, as there is a need for audience data to attract advertisers.
  1. Story 1: Massive Leak of Secret Desires AI

Overview

  • Sam covers the breach revealing that users of Secret Desires AI were turning ordinary women's yearbook photos into AI-generated pornography.

Functionality of Secret Desires AI

  • Service Description: Users can customize chatbots and generate images based on their fantasies, predominantly featuring hyper-sexualized content.
  • User Demographics: Both men and women engage with these platforms; women are often drawn to text-based interactions akin to romantic literature.

Breach Details

  • Data Exposure: 1.8 million images were leaked, including both user-uploaded input images and AI-generated outputs.
  • Types of Images: Many images featured ordinary people, including yearbook photos, which were likely harvested from public records.

Ethical Concerns

  • Unconsented Usage: Images were used without consent to create explicit content.
  • Public Reaction: The scale of the breach and the nature of the content raised alarms about privacy and the ethical implications of AI in this context.

Analytical Reflection

  • Sam and Jason discuss the societal impact of such technologies, noting the disturbing trend of utilizing AI to create content that violates personal privacy and consent.
  • Takeaway: The hosts emphasize the normalization of such practices and express their concerns over the growing prevalence of these technologies.
  1. Story 2: America’s Polarization as the World’s Side Hustle

New Feature on X

  • X introduced a feature that displays the geographical origin of account holders, leading to revelations about many popular political accounts being operated from outside the US.

Implications of the Change

  • Many users found that accounts they followed were not based in the US, which led to discussions about misinformation and the authenticity of online personas.

Broader Context

  • Jason reflects on how this change mirrors past issues on platforms like Facebook, where foreign entities have historically influenced American discourse.
  • The feature highlights a trend where international content creators are incentivized to create content targeted at American audiences, primarily due to higher advertising revenue rates.

Economic Motivations

  • Monetization Strategies: Content creators from countries like India are creating content specifically aimed at the US audience to capitalize on higher ad revenue.
  • AI Utilization: Creators are using AI tools to generate content that quickly garners views and engagement, feeding into the spammy nature of much of the content online.

Conclusion

  • The hosts discuss how the algorithms of social media platforms prioritize engagement, leading to a proliferation of disinformation and irrelevant content that does not reflect the actual experiences or opinions of users.
  1. Subscriber’s Section (Bonus Content)
  2. Discussion on how 404 Media's investigative reporting contributed to the shutdown of a warrantless surveillance program.

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Key Takeaways

  • Privacy Violations: The episode underscores the serious ethical concerns surrounding AI-generated content, particularly regarding consent and privacy.
  • Disinformation Ecosystem: The conversation illustrates how social media platforms, driven by profit, can create environments that foster misinformation and division.
  • Global Content Creation: As financial incentives grow, more non-US creators are producing content aimed at American audiences, which raises questions about authenticity and the quality of information disseminated online.

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Links

  • YouTube Version: [Watch here](https://youtu.be/UgOtR_bDft4)
  • Subscribe for bonus content at [404media.co](https://404media.co).

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Transcript

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0:03Hello, and welcome to the 404 Media Podcast, where we bring you unparalleled access to hidden worlds both online and IRL. 404 Media is a journalist family company and needs your support. To subscribe, go to 404media.co. As well as bonus content every single week, subscribers also get access to additional episodes where we respond to their best comments. Gain access to that content at 404media.co. I'm your host, Joseph. And with me are 404 Media co-founders, Sam Cole. Hello. And Jason Kebler. What's up? as we're talking, I'm getting notifications that Jason is telling Emmanuel, I don't know how to zoom in on my new camera.

0:46But maybe we'll save that for another time. Yeah, okay. Joe's been setting up his camera for like three weeks now. I do it bit by bit as in I'm slowly improving the podcast. He's reading the instruction manual on how to turn camera on. Well, we got that far. It looks really good. This is not it. This is not it. This is not it. The audio is new. This is just my standard webcam. You're just looking sharp today. He was showing me the inside of his nose moments ago. Oh, well, I missed that. Well, that's the pivot. We're pivoting now. Subscriber's content is inside of Joe's nose. Exactly. One bit of housekeeping before we get to the stories.

1:26We have a reader slash listener survey. There isn't a fancy link like a bit.ly, but I will put a link in the show notes. Jason, do you just want to explain why we're doing this and sort of why it's important? Yeah, we are on Ghost, which we've discussed before, but is the architecture that our website runs on. And it has no cookies, which is very good. It's very privacy-focused, privacy-centric, which is important to us because we care about these sorts of things. And we don't want to track our readers all over the internet. That said, we don't know very much, like really anything about the people who subscribe to us and what things you like, what things you don't like.

2:13So this is going to help us as we decide sort of what to do, which projects to prioritize going into 2026. We have questions about like, do you like our email newsletter? Do you want it to be different? Do you want to see us cover different things? would you be interested in a print product like a magazine things like this and then i mean the other thing and just like full transparency to be honest uh when we try to sell advertisements on this podcast and in our newsletter uh the prospective advertisers are like well what can you tell us about our about your audience and right now we're like well literally nothing we have no idea.

2:56So we're asking people to sort of give us like general information about the types of jobs that you have or like the types of products that you like, things like that. So yeah, it's voluntary survey, it would be very helpful. It's anonymous, of course, and trying to just like get a sense of what types of people listen to this podcast and read our website and subscribe to our newsletter and that sort of thing. And then yeah, on the ad front, it's like, if you are paying subscriber of 404 Media, you will not see ads. There's no ads, including on this podcast. Yeah. So a link to that survey is in the show notes.

3:39It'll take literally a minute, I think. And we would really, really appreciate it because it would help us grow sustainably and figure out, well, where exactly do we grow and where should we invest our time and resources? So let's get to the first story of the week. This one is written by Sam. It's a really, really crazy one. The headline is, Massive Leak Shows Erotic Chatbot Users Turned Women's Yearbook Pictures Into AI Form. Sam, first of all, what is this service exactly? It is called Secret Desires AI, what is it? So it's really similar to a lot of the erotic roleplay chatbot slash image generator apps that are out there right now.

4:28There are a ton of these. You've probably seen them being advertised on Instagram or YouTube. They're pretty popular, all of them. They all have a ton of users. this one is really similar to like character ai uh chubb ai is another one um it's similar to the meta chatbots if you recall those from when i wrote about um like the the therapy chatbots that were on meta basically you can go on there and say i want to customize my own chatbot uh usually i mean it's called secret desires with like a heart so it's the main thing that they do is like quote-unquote spicy AI chatting is what the website says.

5:10The site says, build your perfect AI partner, customize their looks and personality to bring your fantasies to life. And it's like, it's, I would say, 99.9 % erotic or like sexualized. It's a sex chapel. Stuff, yeah. I mean, if you go through the homepage, you can sort it by like 18 plus. It's all like porn categories, basically. It's like you can choose like by ethnicity, ages, realistic, anime, both. You can search by like kink. It's just like anime girls and fantasy women is probably 80 % of the homepage, I would say. And then there's like ripped men. Like eight packs are also part of the offering, which I do want to, I mean, And I do want to say off the bat that women use these services, I would say, maybe not just as much as men, but there's a big demographic of women using erotic chatbots and erotic roleplay because a lot of it's text-based.

6:13And I think it's a lot of the same, not the same people, but the same kind of draw as a romantic-y novel, except you're interacting with the character. so yeah it's not it's not like it's just men doing this but it is on the home page like mostly hyper sexualized anime women and what do you see and again we'll get to the leak and stuff in a minute but when you use secret desires ai so it's a text interface you're interacting with this ai persona but there are generated images as well is it like what it's all part of the same product or what is yeah pretty much so if you go through like the so you can pick from the stuff on the homepage that I just described.

6:56There's like a bodybuilder lady who's like basically nude. There's like a sassy 50-year-old pharmacist who is tender and nurturing and definitely not wearing anything work appropriate. So you can pick from those or you can make your own, which I think is what a lot of people do. So in the character creation part of it, you can choose gender, you can choose style, like anime or realistic, you can do like identity. so you're doing like their um like their ethnicity basically which there is not a lot of options to choose from there um you can do appearance but it goes through all of this and it creates the personality of the chatbot based on what you choose it's like you choose like their career their traits uh their lifestyle you can type in your own prompts but then you get to a point where you can then generate an image of your ai partner um you make it basically yeah you're you're describing it you're doing prompting just like you would with like um sora or nanobanana or any of these other um sealed diffusion any of those other generative ai platforms where people also use you know to we've talked emmanuel's talked a ton about civetai so it's all part of the same universe or you upload your own image as well right?

8:19well not anymore I mean that's a feature that they used to have was they called it face swap but as far as I can tell you were uploading an image of someone and it was generative AI it wasn't like deep fakes where it's a picture of someone and you're putting them in a scenario that already exists in real life it's generating a whole new fantasy see a whole new person like who looks like the person that you are the target person basically yeah it's um i mean i feel like obviously readers of 404 and listeners of the podcast will know now but like we are a million miles away from deep fakes at this point like deep fakes are this quaint um thing at this point where we're not talking about really face swapping we're talking about using generative AI to make entire new scenarios and that sort of thing.

9:13Sort of like the Taylor Swift videos, which we might get to in a minute. And people still call all that like colloquially deepfakes because it's a person in a scenario that they were never in, I think is now the definition. The definition changes every year. I've given up trying to keep up on what specifically makes a deepfake. But I think most people are when they say deepfake, what they mean is like all of the above it's a huge umbrella term of like people generating wholesale new images like these fantasies that people are making on secret desires and other platforms on civetai things like that um and then also uh the face swapping that you're talking about so that was with like generative adversarial networks which is a different sort of uh family of the same product or the same alp i guess without getting too like technical about it's um So that's what we're dealing with.

10:05So that all exists. Secretdesires.ai offers that. You then get this tip, I think, via email. What exactly was this tip? What did it say? So, I mean, there are websites out there that track open, like exposed containers. And by container, I mean, this is something that like, it's storage. It's cloud storage being used by a company or by even an individual. but usually it's companies because this stuff is expensive. And then they're drawing from that container to... The inputs go in, they draw out of it. It's cloud storage. AWS buckets, that sort of thing. Yeah, exactly. And so this specific container was Microsoft's Azure Blob Storage, which is such a funny name every time I come across it.

10:53That is what it is. It's a blob of data. And then the blobs are... There are different blobs and different containers of related data. So someone emailed me and was like, Hey, I came across this on one of those sort of websites that tracks these things. He was like, this seems like a big deal because it's... Well, first of all, it was like 1.8 million images. A lot of those are duplicates, but individual images, 1.8 million. and a lot of them were pictures of people, real people generated like AI characters and companions all coming from secret desires that was there the container belonged to them so this person flagged it to me and was like this is something that you cover this is probably not good or at least interesting I don't even think they said it's not good I was like yeah that's super interesting this is like on a saturday or something it's like yeah let me spend like the afternoon dragging these images out of this container to see what's actually in here yeah and just to clarify again this is publicly exposed information uh like it shouldn't be obviously it's basically been put in a database which is publicly accessible from normal internet so you know journalistically uh we are able to see the information and use it.

12:18And we've done tons of stories about exposed buckets over the years, not just here, but way back at Vice and Motherboard as well. So you go in and you get these images and it sounds like they're split into two sets, which is sort of the input where people are taking images of people and then the output, like this AI generated non-consensual intimate imagery or however you wish to describe it, the output. First on the input images, what was in those? Is it like porn stars, celebrities, normal people? Like what were you seeing in there? So yeah, and also just to your note that it's public. If you were responsibly storing this data, if you were responsibly using Microsoft's blob storage, you would password protect it, you would encrypt it.

13:07you would be doing things to make sure people can't just access it from the open web, which is something Secret Desires obviously did not do, which is why I was able to just click on a link that took me straight to a file full of this stuff. So what was in it? I mean, so yeah, I guess that's true about there are two different sorts of images. And then there's the input and then the output. That's kind of the broad categories. But then there were also specifically named containers. So one of the containers was named Face Swap. And that's where a lot of the images that were kind of the crux of the story were being held.

13:49So a lot of those were just images of, from what I could tell, completely like random people. people um people would know like internet and social media footprint um a lot of them are old images like images from clearly from like 10 years ago 20 years ago even because they were like taken with flip phones flip phones in mirrors or with like a blackberry with the sliding keyboard and they looked like deep fried low resolution like myspace picture so somebody's gone and got MySpace pictures and fed them into this AI. Yeah, and that's the name of the container is why we how we figured that out because they're called FaceSwap.

14:33FaceSwap is a tool that Secret Desires used to have where you could upload these pictures of someone, anyone and then it would, I assume this is how it works just based on what we saw in the containers. Based on how it works. Yeah, how that step works. People would then upload the images, it would go to the face swap container, which was a public, again, exposed. And then that's where they were stored and then Secret Desires was using its generative AI algorithm to turn those into whatever fantasy prompting that the user described. So if someone was like, I want to see my... And this is something they advertise publicly as of recently.

15:16If you want to see this girl that I saw at the gym, that's a fantasy that you can... fulfill by it used to be by uploading a picture of this girl at the gym maybe you know her like Instagram or like you took a picture of her without her knowing or whatever maybe she sent you a picture doing you know whatever you want so like I think we can infer based on the other containers which were full of porn AI generated porn that people were making porn out of these people's images So yeah, it was like regular people. It was also a ton of influencers, a ton of just like screenshots of influencers and also like sex workers and like porn influencers and adult content creators, normal, regular, like non-adult, non-safe-for-work influencers, celebrities.

16:09there was one probably the one that like really deserved me the most was and this is all it was all pretty disturbing just to go through like these people's images who had no idea clearly that they were in this but um one of them was like a local um like a representative like a like a lower level politician who was she was the image was from where she was speaking at like some kind of like town council sort of event city council thing um and someone uploaded that and then you could go to the other container which said like what were the container names specifically anyway they were i think they were called like live photo or like um characterization or something but you could go to the next one and see where their faces looked a lot like the people who were in the ai porn so i could i found one of her looked just like her um in like a really crazy like non um not humanly possible type so yeah it's like and someone actually did end up telling me after the story came out that they were a tester for the face swap tool and they said that secret desires never let people upload those images from face swap to the public feed but you could make them you You can put them wherever you want.

17:32Just because you can't put them in the same ecosystem in the feed doesn't mean you can't just share them in many other forums that these people also share things to. So it's a huge ecosystem. It doesn't just stop at you can't upload it to the same website. That point on public, I think, is the really interesting bit about this piece, which is that, of course, we see AI-generated porn of people either on tube sites or it will happen with the Taylor Swift videos that go viral on X or whatever. But there are people doing this by themselves, basically using these tools. And of course, those are supposed to be opaque systems where I'm going to go to this website, I'm going to use this app, I'm going to upload imagery, I'm going to make AI porn of this person without them knowing.

18:21And maybe they don't distribute it. Maybe they don't send it to the person. They just keep it to themselves on the hard drive. And of course, nobody gets visibility into that. I don't think a lot of these people are going to want visibility into that, even though they're doing this to these other people. And this provides a snapshot of, oh, holy shit, this is what people are doing. And yes, there are a lot of responses going, are you really surprised? Like, no, of course not. No, that's the point. So we found an actual use case of this happening and now there is a really significant data point.

18:57to show you. Just very briefly, before we move on to the next bit, the headline does mention yearbook photos. And I think a manual came up with the headline. I think it was very, very smart to include yearbook because people instantly go, oh shit, that's a really horrible recontextualization of a photo or a piece of data. How did you figure out they were yearbook photos? I mean, they were literally pictures. You would see yearbook. It was someone graduating. They had class of 2000... I think it was 4 or 5 or something. They were holding their little cap and it was like the life-touch background.

19:37I don't know how to describe that, but like blue speckly. I think people can visualize. Yeah. You know what a yearbook... And also, I don't know if people know that most... I think a lot of... Especially public school yearbooks are publicly available. That's all data that's out there anyway. but this is like a specific person that obviously had access to someone's like yearbook pictures and maybe it was their classmate it was just like some random person but yeah and then there were others that were like there was a woman like standing in front she was like graduating from university and she was like standing in front of like the sign for the school um just like a very normal like wholesome picture and someone took it and turned it into porn um yeah i don't know that's that's not get too specific on the porn that was made but i think can you give people a very general sense of how explicit or hardcore was this pornography yeah um yeah i mean so when we've written about this before um and it's something that like is not new in ai but with generative ai especially so we're talking again about the difference between like old-fashioned deep fakes where you're putting someone into a porn scene that already exists which is already shitty and sucks because you're stealing someone else's content and also someone's face but now it's like you can create scenarios and have people do things that just don't exist in real life um a lot of it was like pretty i don't want to say violent but like it was pretty violent because it was like not real people it's like no one in this is like the people are not real and also the person whose face it is is not consenting to like this being out there of them um there were quite a few very young generations like like generative ai of like very young people um or what look or what looks like a young yeah like clearly the prompt and a few of these prompts were you could see the problems in some of the file names but people were prompting for like 17 year old looks like this and that celebrity and it's like that's a minor but like i'm not even talking about 17 i'm talking about like child um it felt like a real mix because sometimes like with emmanuel's civetai coverage that has been specifically focused on child sexual abuse imagery c sam and then this it sounds like had both potentially c sam but then also definitely adults and uh it It was like everything.

22:26And I was kind of taken aback by how explicit some of the images were. Right. And AI-generated child sexual abuse material in many states is treated the same. So generating porn, like a sexual abuse imagery of a child with AI doesn't mean it's not a crime in many places. And experts have talked about how this is not only not helpful to actual investigations and tracking down people making this stuff, but also it actually damages investigations that are trying to find real abuse victims out there. So I don't know. It's like that. It opens up a whole other can of worms about like the conversation about AI and CSAM.

23:13But yeah, I mean, it's as far as like the hardcore porn stuff, it was just like, like crazy, crazy shit. I don't even know. I would say the stuff that I saw when editing this piece was extreme, like extreme, almost all of it. And like, I don't like gangbang stuff. I don't know, really just quite extreme, which is in the piece, but this is not like a standard nudify app where it's like taking the clothes off of a shirt, off of someone who's wearing clothes. It is like for hardcore porn primarily, at least what we saw. Yeah, and Jason, I was going to bring you in now because you did edit it, And I feel like when Sam got the tip, I think you were the first to respond saying something like, well, this is insane and wild.

24:06What did you think of this while you were editing it? Like, what's new about this story? I mean, we knew that this was the case, but it is another example of the fact that these tools are being used primarily to non-consensually put women into porn and sexual situations. and it was not okay when it was deep fakes for either the porn performer whose body was being used or for the celebrities who were having their faces swapped onto it. It was not okay then, but I think it's pretty alarming to see that quite clearly what's happening here is just random people are being put into these situations where they're definitely not public figures and they're definitely not, I don't know.

24:57It's just like, it's pretty gross to see. And I think that we've done a lot of reporting where it's like, this is what these tools are being used for. But I think to see this scale at which this occurred and the explicitness and all of that was quite jarring. And then, yeah, again, it's like, this is not even a big one. I had not heard of this app before. And the fact that there's more than a million images on this app is like, well, there's many, many apps like this. And I guess it's just like, I hate to be hyperbolic, but it's one of those moments that makes you lose a little bit of faith in humanity, I think.

25:42It's just like walking around, it's like, people are doing this. People are doing this. That's not good. And we're not really doing anything to stop it. and it could be you or your partner or a friend or something because apparently people are just harvesting photos that and that they can they're harvesting any photos they can get a hold of essentially is what it looks like um i guess just to wrap up this section sam what was your takeaway for me it was sort of the scale and it was being done to ordinary people like what was your takeaway after doing this um i mean not to like keep belaboring the point but like it's It's just something that we know people have been doing with the technology because, first of all, it's wildly popular.

26:29We know that erotic roleplay is hugely popular. And we know that generating real people is massively popular. And we know this from lots of other reporting that we've done on this. And we know it from listening to and talking to the users of these tools. They say it out loud all the time that this is what they're doing with it. they're in discord talking about it and making these generations it's like that's that's whatever that's fine um you know like fantasy is fantasy porn is fantasy you know i don't like i don't love that use of ai but go nuts it probably shouldn't be illegal to make fantasy ai porn but i think with the face-wopping stuff um i think it was really like you said very telling that this is like a huge part of that was a huge part of the site it was also very telling that they took it down and that it was not a tool on the site for very long um it went down in i think april and a lot of people were mad a lot of people were like i'm canceling my subscription uh people were posting on reddit talking about how they don't want to use secret desires anymore and they were like oh it's my favorite tool but now i'm about to go somewhere else because they don't let me do face swap anymore um so like there are a lot of things going on there it's like first of all people really want this feature um it's in demand and also it was in demand and the company still took it down which is interesting to me because usually these companies are only driven by like what did they find what did they decide like what um the take it down act went into effect earlier this year.

28:06So like maybe they were like, oh shit, we have to like preemptively make sure no one's violating federal law. So I don't know. It's like the company hasn't replied and said anything. They shut down the buckets though, or they closed them? They shut down the buckets immediately, like in less than an hour. They like read my email and then shut down the buckets, which I sent them all the links because I was like, you need to shut this down because it's, violating these people's privacy. Or, you know, I was like... And you can't cover it. Yeah, you can't cover it before it gets shut, basically. Yeah, we can't, like, highlight something that's, like, an exposed...

28:42This is something that's, like... It's with any kind of, like, security or, like, breach reporting. It's like, you want the company to close the breach before you cover it because you don't want to draw more attention to it. So they shut it down, but, like, they didn't reply to me. And I would think it would be very easy to say, like, we found out that, like, it wasn't... We weren't into it. It's not what we're about. We don't like that use of it. and we found out people were making like... But it is what they're about because that's all their ads are like... AI women can't say no. You can generate the lady at your gym.

29:12That is what they're very much about. So I'm very curious. It's kind of like an open question about why they took it down. That's my... My takeaway is like a... What's going on there? So I don't know. I mean, maybe we'll find out down the line. Maybe someone will come forward and say, I worked in Secret Designers and I told them to take it down or something. Yeah. If you're listening and you do know more, of course, please reach out to Sam. We'll leave that one there. When we come back after the break, we're going to talk about one of Jason's pieces about some very funny shit that happened on X, but there's much broader implications as well.

29:51We'll be right back after this.

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34:41All right, and we are back. Jason, this is one you wrote. the headline is America's polarization has become the world's side hustle. Really good headline. Before we get into sort of the meat of your story, what was this change on X over the weekend? Because I mean, it was pretty funny. Yeah, so X changed. They added a feature where basically you can click into someone's profile and look at what country they're based in. I'm not sure exactly how it's doing that, whether it's IP address, whether it's where it was registered, things like that. There's been actually some beef about this because I believe the Department of Homeland Security's Twitter page was showing that they were based in Israel.

35:27I don't know if that's real or not. It's hard to tell what's real on X and I. There's also Hank Green's profile, the famous YouTuber. It says his was in Japan and he's never been to Japan. Some of them look at. I presume it's IP and the registration one's easy enough. When they made the account, where were they located? That's straightforward. Right. So anyways, they added this feature and then people started looking at different really popular MAGA accounts. There's one called Ivanka News that had over a million followers and that one was based in Nigeria. There's one called Red Pilled Nurse that was from Eastern Europe, I believe.

36:09Something called MAGA Nadine, which is in Morocco, an account called Native American Soul that was in Bangladesh. And there was many, many, many. It's like the entirety of my timeline over the weekend was about this. And I don't know, I don't even go on X very much at all anymore. But this had like broken containment. I saw it, saw people in Blue Sky talking about it. I saw people on threads talking about it. And then so I went and looked. And there's been like, kind of a bit of meltdowns on both sides of the political spectrum here being like, well, everything is just a psyop and every like, you know, all these accounts are disinformation campaigns, so on and so forth.

36:51And what do they mean by that? As in just to hear their argument? Well, they're just saying that like a lot of these accounts are like, oh, like I'm a single white mother from Oklahoma and I hate woke, like the woke left and things like that. and that's like all they tweet about and then you check click into their profile and it's like oh they're from bangladesh or whatever and so people are saying well this is either foreign governments attempting to uh you know like divide americans or it is like foreign interests like big moneyed trying to do this or it's just like troll farms or bot farms dead internet theory like all this all like that that's sort of like where the the narrative went and i guess before we get into it let me just say that after 2016 election on facebook where there was like the you know these russian bot armies and cypress fake news organizations and things like this facebook launched a feature that lets you see the country of origin for different pages now you have to They click through like three different things to get to it.

38:01But if you do that, you will see like the vast majority of, I mean, many, many of these like spam accounts that are posting like AI slop or like weird stuff, say that they're based in Cambodia or Vietnam or just like other countries. And they'll say like, I'm a mega mom. Like that is sort of what they're fronting as. And so this is not a new feature like for social media. this is something that has existed on social media for almost a decade, first of all. Second of all, I would argue it hasn't really done anything to better our online discourse or to make people understand that not everyone is telling the truth on the internet about who they are.

38:46You don't think the change on X may have some impact where even, I don't know, very brain dead ex-users might be like, oh, actually, those big viral accounts I followed aren't from America. I mean, maybe, I don't know. I think it's a good feature and I think I'm glad that the feature exists. I'm just saying it's like 10 years too late. And that YouTube has had a similar feature for a long time for channels where you can see where they're located and it's like, these things can be gamed with VPNs and with selling and buying accounts and things like that. But it is good. And I think it's helpful.

39:26Like it's helpful as a journalist so that we can go in and like look at where the country of origin is for some of these things, especially when some of them are claiming to be like official accounts or, you know, the, you know, verification on Twitter has been just a thing that you buy for since Elon Musk took over. But it is a good feature. It hasn't done that much on Facebook to fix the misinformation problem. And that's largely because this stuff is decontextualized when you look at it. You're just scrolling your timeline and someone has put it in your feed. And I don't know, it's only a couple clicks, but how often are people doing the few clicks to sort of get to that?

40:13on someone's profile. That said, it's a good feature. And I think it's led to interesting journalism. It's led to interesting, you know, people have sort of woken up to the fact that a lot of these accounts are just trolling for engagement and trolling for clout and that sort of thing. But I don't know that it is going to like heal our divide. And I guess I would also argue that it's like the divide goes further than a few weird mega accounts that are promoting things. But that said, it's a new feature that people are talking about on X. Yes. And it was quite funny to see some of these accounts and where they're supposedly based.

40:56It caused a shitstorm, basically, where it looked like a lot of these accounts or people who followed them freaked out, essentially, and just the entire weekend. Again, I don't really check X that much either but then when i heard rumblings of this i logged in it's just like wow this is all anyone is talking about and it's really really it's really really good yeah i will say before we get into like my specific piece um that when facebook did some of this stuff and and when they've tried to make uh like try to do a little bit of transparency around this the the sort of free speech warriors have said like this type of transparency is censorship and and that sort of thing which is really funny but then when elon musk does it it's like oh he has uh he is cracking down on bots and things like that so to see the dichotomy of how these sorts of features are received has been interesting uh but but yeah so but you you approach it from a different angle So that all happens over the weekend.

42:03We come back in on Monday, right? And you then write this. And as I say, you approach it from a slightly different way because you've been covering very much the money and the ecosystem, specifically on social media, behind AI slop. But not just AI slop, just almost like grifters in general now. It's just they're using a lot of AI right now. So what did you do to get this article going? It sounds like you started to search for certain things after you saw the X stuff. Yeah, so I did a series of posts about where Facebook AI slop comes from. And I found a lot of YouTube tutorial videos about how to make AI slop, how to bypass Facebook's pretty shitty filters, and how to monetize your account and that sort of thing.

43:00and that was about a year ago. And we talked about it on the podcast. But something that I remember from that and something that I knew already was that there was a specific interest in targeting American users, like in making stuff that goes viral in the United States. And the reason for that is twofold. Well, the reason for that is because advertisers pay higher ad rates to reach American users. They pay higher CPM, which is cost per mili, which is cost per 1 ,000 views. It's an advertising... It's how the advertising industry does rates. And they pay the most to reach American users for two reasons.

43:42One, because the United States has a relatively wealthy user base, at least definitely higher than Pakistan, India, Cambodia, Vietnam. it's more valuable for people based there to make content that reaches American users versus people in their own countries. And the second reason, which is not in the article, but which Cory Doctorow texted me about afterwards, and was like, you should have put this, and I should have, to be clear, is that the US has no privacy laws, basically, whatsoever. And so you can target Americans a lot better. We don't have GDPR and things like that. So the ads are usually more effective because you're targeting people more directly.

44:28And therefore, the platforms can charge more money for them because they're more effective. So for those two reasons, the United States is the most valuable ad market. And so a lot of the YouTube videos were like, you need to make content that is popular with Americans. And so when I saw this, I was like, I wonder if they're talking about this. I wonder how this ecosystem has developed since I last wrote about it. And so I started searching for monetized X account in Hindi. So I just used Google Translate. And I started in Hindi because it seems like India has the biggest ecosystem of side hustler podcast bros.

45:13That's what you found before with your Facebook stuff. That's what I found before. And I mean, this is happening all across the world. like I found some in Cambodian I found some in Hindi and Portuguese and Vietnamese and then a lot in English to be clear like people in the United States are doing this also like using AI to spam social media but it's a particularly popular in India right now and I found so many videos from the last few months about channel ideas for what they call USA channel and it just This means content that Americans are looking at. And so these include ideas such as make content about MMA fighting, which this one Pakistani creator said is similar to cricket in Pakistan in terms of Americans fucking love this shit.

46:08They love MMA, so make MMA AI videos. Make videos about American politics. Make videos about cool cars. make videos about pets and dogs because Americans love dogs, things like that. And it's not like there's... Why is the lie? Yeah, exactly. It's not like there's one or two videos like this. It's like there are dozens and dozens and dozens of videos about how to make USA content, USA channel. And a lot of them are pretty basic, but then a lot of them are relatively sophisticated where they'll start off the video being like, CNN is a popular American news source. Go to CNN.com and copy paste their articles, put them into chat GPT, change, you know, have it write you a script, run that script through an AI voice, generate images based on that script, and then, you know, use CapCut and make a video and you can make money.

47:08You can like post this content and Americans will love it. there is also a lot of black history content which is kind of wild and is something that I've seen on YouTube a lot and it's popular or the people doing the grifting think it's popular I mean people are trying everything it's like people are throwing shit at the wall and so a lot of the tutorial videos are like go to Wikipedia type in like black history or African-American experience, copy paste that, run it through chat GPT or perplexity or like each like influencers, like here is the type of AI tool that you should use. And some of them have promo codes and things like that.

47:56So it's like, it is a side hustle grift vibes going on. But that's like what they're promoting. And then they'll show you examples of the types of spam that has been created. And so they'll show successful YouTube channels. And it's very interesting because we did a story a few months ago about boring history videos on YouTube. And a lot of these tutorials are like how to make boring history videos for YouTube. And so there was also some stuff about how to monetize an X account, how to monetize a Facebook account, how to monetize a TikTok account. So this is like the type of thing that is happening.

48:46And this is like why, in my opinion, we are seeing so much of this type of content that is like culturally off because it's not based in like, I did deep research about what is occurring in the United States. It's very often like I use Google Trends and I copy-pasted something or I wrote a script in Hindi and then I translated it into English and then I used that to generate a script. And there's something lost in translation. And there's also something lost because a lot of these people are running a lot of different channels. Or a lot of different social media accounts across different platforms.

49:29And so they're not necessarily doing a deep dive into how can I be the most accurate. And so I think, like my theory of the case is that yes, there are some disinformation campaigns out there. There are some like true believers who live in other countries who are trying to either sow division or who are like actually interested in the MAGA movement. uh there are obviously tons and tons of americans who hold really polarized views in either direction who are making a lot of content about it um and are beefing online about it but then you also have the entire rest of the world who have been incentivized by these social media companies to make content that americans will see and what are americans talking about on the internet right now well they're talking about politics and they're talking about the economy and they're talking about tech news and they're talking about ICE and immigration raids and all this sort of thing.

50:28So if Americans are talking about it in any way, there's going to be spam content about it. And these social media companies, they incentivize it both through their algorithm, which incentivizes division and engagement and incentivize, frankly, spam. You post enough, like you're going to go viral. And then it also has these programs where it directly pays the people who post them. And I should have said that up top. But I was going to ask it now, but you just... Yeah, it's like the... X has a monetization platform where if you enroll in it and you go viral, you get direct payments from X. And YouTube has an AdSense thing where you get a fraction of ad revenue.

51:13Facebook has a creator's program where they pay out and it's not... that's not directly ad revenue or like they wouldn't say that it is, but that's where it's coming from. But it's like they pay out based on views. We actually don't know the full kind of like formula for how they calculate. But a big part of this YouTube influencer economy is for them to show their dashboards where they show how much money they make. And they show very clearly like this video or this photo that I posted had 60 % of its views come from the United States. And I made a lot more money than this other one where most of the viewers were in Eastern Europe or whatever.

51:58And so, you know, they've learned this and they're like, well, we're going to make content that theoretically Americans will care about. Yeah. And when you have the social media platforms introduce these monetization strategies and programs, obviously that creates all of these perverse incentives where people are not posting for the sake of accuracy. They're not even posting for the love of the game, man. They're posting to get their money, basically. They're posting at their money. And I mean, here's one of the slides that I saw. And the slide is in English, which is interesting. Some of these videos are actually in English.

52:34A lot of them are not. But now there's a lot of really good translation tools. But anyways, it says YouTube earnings Pakistan versus USA. YouTube earnings in Pakistan,$1 per 1 ,000 views. And then YouTube earnings in the USA,$5 to$7 per 1 ,000 views. And so you're making between five and seven times as much, according to this video, if you're able to reach an American audience. And so why would you cater something to a smaller audience or like an audience that these companies are not paying as much to reach when it takes the same amount of effort to spam something that is about the NBA or Major League Baseball or American politics, something that is specifically focused on American audience and viewership and politics and news.

53:34Yeah. All right. We'll leave that there. If you're listening to the free version of the podcast, I'll now play us out. But if you are a paying 404 Media subscriber, we're going to talk about how we contributed to the shutdown of a warrantless surveillance program. You can gain access to that content at 404media.co. As a reminder, 404 Media is journalist-founded and supported by subscribers. If you do wish to subscribe to 404 Media and directly support our work, please go to 404media.co. You'll get unlimited access to our articles and an ad-free version of this podcast. You'll also get to listen to the subscribers-only section, where we talk about a bonus story each week.

54:15This podcast is made in partnership with Kaleidoscope. Another way to support us is by leaving a five-star rating and review for the podcast. That stuff really does help us out. I'll read out more of those soon. This has been 404 Media. See you again next week.

From the publisher

We start this week with Sam's piece about a massive leak of an AI chatbot, and how it showed that people were taking ordinary women’s yearbook photos and using them to make AI porn. After the break, Jason explains how a recent change on X exposed a bunch of grifters all around the world. In the subscribers-only section, we talk about how our reporting contributed to the shut down of a warrantless surveillance program.

YouTube version: https://youtu.be/UgOtR_bDft4

Timestamps:

1:23 - Intro: Please, please do our reader survey

3:57 - Story 1: Massive Leak Shows Erotic Chatbot Users Turned Women’s Yearbook Pictures Into AI Porn

34:42 - Story 2: America’s Polarization Has Become the World's Side Hustle

SUBSCRIBER'S STORY: Airlines Will Shut Down Program That Sold Your Flights Records to Government

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