Facebook Marketplace ads are filling up with sexy AI-generated women and there’s a very specific reason behind it

What of sell on trading platforms It is not always a simple task. It is quite common for ads to go by for weeks without anyone being interested in them, especially if what we want to sell is something expensive like a car or a motorcycle. Faced with this problem, there are Facebook Marketplace sellers who have found the formula to stand out from the crowd without having to pay to promote their ad. Women generated with AI. They tell it in Business Insider. On Facebook Marketplace in the United States, it is increasingly common to find ads for cars and other items in which one or more beautiful women appear; motorcycles, cars and even tractor parts surrounded by suspiciously perfect women, smiling at the camera as if they were posing for a magazine. In the ‘isThisAI’ subreddit many users discuss these imageswhich as we have already mentioned are generated with AI. The objective behind it is obvious: to capture the attention of potential buyers. The case of the Jeep Wrangler. The report tells the story of Rogelio Llamas, a Californian who is trying to sell his Jeep Wrangler. In the ad, next to the car, there is a woman in a bikini, shorts and cowboy boots, but it is not real, but was added later with AI. The striking thing about her case is that she was not a thin woman, but rather opted for a more voluminous one. He says he got the idea from a trading YouTuber who said that this would generate more curiosity. Lots of clicking, little purchase. The goal is to make your ad stand out from the rest, thus increasing the chances of a sale, or at least that’s the theory. According to this seller, the ad got a lot of views and he even received messages from people asking things like if the girl is included in the car. The reality is that 19 weeks later, the car is still for sale. The pretty girl’s claim. Advertising and sexism have gone hand in hand for decades, especially in certain traditionally masculine items such as carsboats and even We have seen it at technology fairs such as the Mobile World Congress. Fortunately we have been removing that burden, but these “AI stewardesses” serve the same purpose: to be the attraction to attract the attention of the male audience. Of course, not all ads that use AI to stand out are along those lines, there are others that simply seek to shock and exploit the surprise factor, like this one from a sumo wrestler inside a toolbox. We have looked around Facebook Marketplace in Spain and also other platforms such as Wallapop and Milanuncios and we have not found examples of this practice. It seems that, at the moment, it is a trend from the United States, but who knows if we will end up importing it. Image | reddit In Xataka | The protein product craze is taking over supermarkets. And that’s why now we have tuna for males

It’s time you had a button that allows you to filter AI-generated music

Music created by AI is generating millions of dollars on platforms like Spotify, making royalties from real artists decrease. The platforms More than 75 million songs have already been uploaded of this type in the last year, and rivals such as Apple Music acknowledge that more than a third of the songs currently uploaded They are generated by AI. You can’t put doors on the field, but putting your hand in the matter seems inevitable. The new step. Spotify is starting to add verification badges for real artists, a badge that guarantees that the artist profile has been reviewed and is an “authentic” musician. The platform explains that those profiles that generate music using AI cannot be verified. The platform takes into account recent concerts, social networks, fan activity and profile behavior to determine whether or not it is real, a fairly fallible method. The world upside down. Spotify has decided to take the opposite path to rivals like Deezer. Their solution to stopping songs created with AI is to verify real artists, while Deezer is betting on a much more aggressive solution AI Music Detection Tool from Suno AI and Udio Removal of AI songs from recommendations Labeling of all songs created with AI According to Deezer, 44% of the total daily music delivery on the platform corresponds to songs created with AIstating that 97% of users are not able to detect between AI-generated music and human-generated music in a blind test. The underlying problem. Spotify’s approach reverses the burden of proof: instead of detecting fake content, it tries to certify authentic content. An independent artist without many numbers, without recent concerts or intensive activity on social networks has a hard time achieving verification, even if his music is completely human. The badge does not measure authenticity, it measures the relevance of the artist, and Spotify is also home to emerging artists. Furthermore, the criteria that Spotify explains are metrics that can be easily modified in AI times, precisely. The system has holes from day one. The damage to artists. The structural problem is not that there are users generating songs with AI, but rather the proportional distribution model that these platforms use. Each artist charges based on their number of plays over the total: the more AI songs accumulate listens, the more diluted what a real musician can earn. Cases like that of ‘Walk My Walk’or how a song generated by AI became the most listened to in the United States, make it clear that the phenomenon is here to stay, and raises the debate of whether AI itself should learn from what it knows: It is the artists who have taught her to compose. In Xataka | You make music with AI, one day you go to download your songs and you discover that you can’t anymore. That’s what just happened with Udio

Spotify and Apple Music have a problem with AI-generated music. And the real musicians are paying for it

Music generated by AI has flooded the large platforms of streaming without anyone having asked for it. Deezer says it detects 75,000 AI tracks uploaded every day, and the number is growing. Spotify has uploaded 75 million songs of that type in the last twelve months. And Apple Music recognizes that more than a third of everything that comes to it is “100% AI”. Why is it important. It is not only a quality problem for the catalog or the reputation of the platform, but also an economic problem. Spotify, Apple Music and most platforms operate with a proportional distribution model (pro-rata): each artist receives a percentage of the total pool royalties equivalent to your reproduction quota. The more AI songs that accumulate listeners (even if they are fraudulent, generated by bots) the more it dilutes what a real musician earns. Between the lines. Although more and more music of this type is uploaded, almost no one listens to it, at least on purpose (sometimes AI songs sneak into algorithmic discovery lists). The problem is not the demand, which does not exist, but the brutal and increasing amount that distorts the algorithms and erodes the income of real artists even though their songs are still the ones that people do want to hear. Someone is uploading music that no one asks for to collect money that they do not deserve because the listeners arrive via bots. And that is money that the real artist stops earning. The background. The most extreme case, at least documented so far, has been that of Michael Smith, an American businessman who between 2017 and 2024 generated more than 10 million dollars in royalties wearing Suno and other tools to create hundreds of thousands of songs and armies of bots to play them automatically. That was the first case of fraud streaming with AI criminally prosecuted in the United States. According to the accusation, it accumulated 660,000 views a day. One billion views and zero fans. Yes, but. The platforms are already facing this wave. Deezer has been the most aggressive: it has implemented AI automatic detection, excludes those songs from algorithmic recommendations and has demonetized 85% of its views. Bandcamp has outright banned AI-generated music. Apple Music has begun to roll out its ‘Transparency Tags‘ (optional for now), and Spotify has released a verification stamp ‘Verified by Spotify‘ to ensure there is a human behind every artist profile. The problem is that both Spotify and Apple have opted for voluntary systems: it is the labels and distributors who must declare whether they have used AI. Nobody who lives off fraud is going to do it. There is an important distinction: It is one thing for a musician to use AI as a tool within their creative process (to refine a lyric, generate a base, experiment with sounds…) and quite another for an entire song to come out of Suno or equivalent with a pair of prompts and without real human intervention. The platforms, at the moment, do not distinguish between one thing and another. And Spotify has also left a door open by noting that “the concept of artistic authenticity is complex and rapidly evolving,” which in practice means that AI artists could end up being verified one day. Featured image | Xataka In Xataka | Science has measured how music impacts us during exercise: choosing the right Spotify list is essential

YouTube has begun to fill with AI-generated content. Spain appears in an unexpected position

Something has noticeably changed in the YouTube experience. A recent analysis points to a notable change in the type of videos that make their way into the feed, with a high presence of content generated with artificial intelligence and with Spain standing out within that context. We are not talking about a passing fad or experimental creativity, but rather a pattern that responds to how attention is rewarded today. To understand what we are talking about, it is worth clarifying the terms that are repeated in the studies. “AI slop“is used to describe automatically generated videos, with very low standards and designed to be mass produced, prioritizing quantity over content.”brainrot” expands that idea and encompasses pieces that, with or without artificial intelligence, seek to retain the viewer based on repetitive stimuli and without a clear narrative. They are disputed labels, but useful to describe a type of content designed above all to capture attention. How the phenomenon has been measured. To put figures to this trend, Kapwing reviewed the 100 YouTube channels considered “trend” in each country through Playboard and isolated those he identified as AI slop. From there, he collected public data on views, subscribers, and estimated revenue with Social Blade and added them by country. Additionally, the team created a new YouTube account and reviewed the first 500 Shorts in the feed to see what a user with no previous history finds. What exactly does the data say about Spain. When breaking down the results by country, Spain stands out for a very specific reason. Channels of this type that fall into the “trend” category accumulate more than 20 million subscribers, more than any other country analyzed. However, the number of channels is small. The study itself indicates that this combination reveals a strong concentration of audience in few profiles, a key factor to understand why Spain appears so high in the ranking. The comparative analysis shows that there is no single global pattern. There are countries that stand out for the number of channels identified, others for the total number of views and others for the loyalty of their audiences. South Korea, for example, has a much higher number of views than the rest, while the United States is among the first in terms of aggregate volume of followers. This diversity reinforces a central idea of ​​the report: the impact of this type of content depends both on the local ecosystem and how algorithms respond in each market. Patterns that repeat in the videos. When reviewing this content, very recognizable formulas appear: animals with human features and cartoon aesthetics, with an almost photographic finish, placed in “story” mini-scenes that can be understood in seconds. Examples usually include baby monkeys that star in emotional or exaggerated situations, animals that “save” people in impossible accidents, or everyday scenes turned into fables, such as a cat shopping in a market. The Guardian highlights that many pieces dispense with a clear narrative and work by immediate impact, repetition and familiarity, three ingredients that fit well with the logic of the feed. Why this model is attractive. According to The Guardianmany creators approach this type of content not out of creative affinity, but out of pure profitability. Automated tools reduce costs and allow you to test ideas almost unlimitedly, while monetization programs promise income that is difficult to match in other local jobs. The result is a constant trial logic, where what works is replicated and what doesn’t is discarded, in an environment in which the algorithm decides more than the author. Regardless of who produces these videos, the impact is clearly perceived from the other side of the screen. Kapwing created a new account and counted the first 500 Shorts in the feed: 104 were AI-generated content, 21%, and 165 fit into “brainrot”, 33%. The Guardian summarizes that finding as “more than 20%” of AI slop in a new user experience. The data does not allow us to describe all of YouTube, but it does suggest that this material is part of the initial menu offered by the algorithm. The official response and its limits. YouTube maintained in statements to the aforementioned newspaper that videos generated with AI must meet the same standards as any other content and that it acts when its policies are violated. However, the platform does not offer public figures that allow us to know how many views correspond to this type of materials or how they influence the total. This opacity forces us to rely on external studies and leaves open the question of whether the algorithm prioritizes these videos or simply reflects their proliferation. Images | Ganes AI official 5286 | Lily Video AI | Dipto Fun Tv | Sparks Adventures (YouTube) | Kapwing In Xataka | We believed that Stack Overflow was essential for programming. AI is proving the opposite

Etsy was a haven for crafts and creativity. It has become a minefield of AI-generated images

That AI leaves us without jobs It is one of the great concerns of recent years. It is not yet clear what it will be the impact of AI on the labor marketWhat we do know is that There are people doing business taking advantage of generative AI. This is what’s happening on Etsy, where there is an overwhelming amount of “custom art” for sale that is actually made with AI. what’s happening. Etsy is the platform for artists par excellence. Here we can order a personalized portrait of our pet or family in a multitude of styles. Everything normal, except that many of the results if we search for “custom portrait” They are images made by AI. If we look for specific styles that have recently gone viral such as Ghibli, anime or Pixar, AI dominates practically everything. Also, some are not exactly cheap, like this Ghibli style portrait which costs almost 20 euros in digital format. If we want to print it it goes up to more than 46 euros. Why is it important. AI is here to stay and The debate about whether we can consider it art is there. The problem is that, at least for now, the lack of transparency is flagrant. I’ve searched for these types of “custom portraits” on Etsy and have only found a couple of sellers that mentioned the use of AI in the creative process, The rest is not only that they don’t mention it, it’s that they say things like “Original work of art” or “I can’t wait to draw you.” There is a clear intention to hide the use of generative AI. The objective is obvious: to capture an audience that does not know how AI tools work and to whom paying 20 euros for a “personalized portrait” seems like a more than reasonable price. Shall we tell them? AI for everything. Not only do they make the items with AI, there are stores that seem to be managed entirely by one. Some buyers say they felt like they were talking to an AI, which they probably did. There are stores where all the titles, descriptions and comments in response to reviews are clearly made with AI. In fact, Etsy itself launched a few months ago a tool to create titles using artificial intelligence. When you upload an article you can mark that it is made with AI. What Etsy says. Despite the rejection from a large part of the communitythe platform allows the sale of items generated with AI. According to the standards that were published in 2024Etsy considers that the seller continues to provide creativity when designing the prompt, but yes: “Sellers must indicate in the description of their listing if an item has been created with the use of AI.” However, given the volume of unlabeled AI-generated products, it seems they are quite lax about this. More deceptions. In addition to selling AI-generated images by passing them off as handmade, there are other uses of AI to boost sales. We already saw it with the impossible to sew crochet patternsthere are sellers using AI images to promote your products (real) and we have also found it in some Amazon items; It’s the classic “what you ask for vs what you get.” And there is still more. At Idealista they are also using AI in house sale ads “so you can see how it would look renovated.” Vertiginous. At the beginning of the year we talked about the junk AI that was filling Instagram and TikTok; They were very disturbing videos, but it was very evident that they were made with AI. The examples we have given are also easy to detect for a trained eye, but the advances are dizzying. Today, distinguish what is real and what is not practically impossible. Hoaxes like Etsy’s “AI art” will be an anecdote compared to what is to come. Image | Etsy In Xataka | AI is transforming the relationship we have with our own ideas: we no longer create, we just “edit” ourselves

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