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AI is getting better at generating porn. We might not be prepared for the consequences.

A red-headed woman stands on the moon, her face obscured. Her naked body looks like it belongs on a poster you’d find on a hormonal teenager’s bedroom wall — that is, until you reach her torso, where three arms spit out of her shoulders.
AI-powered systems like Stable Diffusion, which translate text prompts into pictures, have been used by brands and artists to create concept images, award-winning (albeit controversial) prints and full-blown marketing campaigns.
But some users, intent on exploring the systems’ murkier side, have been testing them for a different sort of use case: porn.
AI porn is about as unsettling and imperfect as you’d expect (that red-head on the moon was likely not generated by someone with an extra arm fetish). But as the tech continues to improve, it will evoke challenging questions for AI ethicists and sex workers alike.
Pornography created using the latest image-generating systems first arrived on the scene via the discussion boards 4chan and Reddit earlier this month, after a member of 4chan leaked the open source Stable Diffusion system ahead of its official release. Then, last week, what appears to be one of the first websites dedicated to high-fidelity AI porn generation launched.
Called Porn Pen, the website allows users to customize the appearance of nude AI-generated models — all of which are women — using toggleable tags like “babe,” “lingerie model,” “chubby,” ethnicities (e.g. “Russian” and “Latina”) and backdrops (e.g. “bedroom,” “shower” and wildcards like “moon”). Buttons capture models from the front, back or side, and change the appearance of the generated photo (e.g. “film photo,” “mirror selfie”). There must be a bug on the mirror selfies, though, because in the feed of user-generated images, some mirrors don’t actually reflect a person — but of course, these models are not people at all. Porn Pen functions like “This Person Does Not Exist,” only it’s NSFW.
On Y Combinator’s Hacker News forum, a user purporting to be the creator describes Porn Pen as an “experiment” using cutting-edge text-to-image models. “I explicitly removed the ability to specify custom text to avoid harmful imagery from being generated,” they wrote. “New tags will be added once the prompt-engineering algorithm is fine-tuned further.” The creator did not respond to TechCrunch’s request for comment.
But Porn Pen raises a host of ethical questions, like biases in image-generating systems and the sources of the data from which they arose. Beyond the technical implications, one wonders whether new tech to create customized porn — assuming it catches on — could hurt adult content creators who make a living doing the same.
“I think it’s somewhat inevitable that this would come to exist when [OpenAI’s] DALL-E did,” Os Keyes, a PhD candidate at Seattle University, told TechCrunch via email. “But it’s still depressing how both the options and defaults replicate a very heteronormative and male gaze.”
Ashley, a sex worker and peer organizer who works on cases involving content moderation, thinks that the content generated by Porn Pen isn’t a threat to sex workers in its current state.
“There is endless media out there,” said Ashley, who did not want her last name to be published for fear of being harassed for their job. “But people differentiate themselves not by just making the best media, but also by being an accessible, interesting person. It’s going to be a long time before AI can replace that.”
On existing monetizable porn sites like OnlyFans and ManyVids, adult creators must verify their age and identity so that the company knows they are consenting adults. AI-generated porn models can’t do this, of course, because they aren’t real.
Ashley worries, though, that if porn sites crack down on AI porn, it might lead to harsher restrictions for sex workers, who are already facing increased regulation from legislation like SESTA/FOSTA. Congress introduced the Safe Sex Workers Study Act in 2019 to examine the affects of this legislation, which makes online sex work more difficult. This study found that “community organizations [had] reported increased homelessness of sex workers” after losing the “economic stability provided by access to online platforms.”
“SESTA was sold as fighting child sex trafficking, but it created a new criminal law about prostitution that had nothing about age,” Ashley said.
Currently, few laws around the world pertain to deepfaked porn. In the U.S., only Virginia and California have regulations restricting certain uses of faked and deepfaked pornographic media.
Systems such as Stable Diffusion “learn” to generate images from text by example. Fed billions of pictures labeled with annotations that indicate their content — for example, a picture of a dog labeled “Dachshund, wide-angle lens” — the systems learn that specific words and phrases refer to specific art styles, aesthetics, locations and so on.
This works relatively well in practice. A prompt like “a bird painting in the style of Van Gogh” will predictably yield a Van Gogh-esque image depicting a bird. But it gets trickier when the prompts are vaguer, refer to stereotypes or deal with subject matter with which the systems aren’t familiar.
For example, Porn Pen sometimes generates images without a person at all — presumably a failure of the system to understand the prompt. Other times, as alluded to earlier, it shows physically improbable models, typically with extra limbs, nipples in unusual places and contorted flesh.
“By definition [these systems are] going to represent those whose bodies are accepted and valued in mainstream society,” Keyes said, noting that Porn Pen only has categories for cisnormative people. “It’s not surprising to me that you’d end up with a disproportionately high number of women, for example.”
While Stable Diffusion, one of the systems likely underpinning Porn Pen, has relatively few “NSFW” images in its training dataset, early experiments from Redditors and 4chan users show that it’s quite competent at generating pornographic deepfakes of celebrities (Porn Pen — perhaps not coincidentally — has a “celebrity” option). And because it’s open source, there’d be nothing to prevent Porn Pen’s creator from fine-tuning the system on additional nude images.
“It’s definitely not great to generate [porn] of an existing person,” Ashley said. “It can be used to harass them.”
Deepfake porn is often created to threaten and harass people. These images are almost always developed without the subject’s consent out of malicious intent. In 2019, the research company Sensity AI found that 96% of deepfake videos online were non-consensual porn.
Mike Cook, an AI researcher who’s a part of the Knives and Paintbrushes collective, says that there’s a possibility the dataset includes people who’ve not consented to their image being used for training in this way, including sex workers.
“Many of [the people in the nudes in the training data] may derive their income from producing pornography or pornography-adjacent content,” Cook said. “Just like fine artists, musicians or journalists, the works these people have produced are being used to create systems that also undercut their ability to earn a living in the future.”
In theory, a porn actor could use copyright protections, defamation and potentially even human rights laws to fight the creator of a deepfaked image. But as a piece in MIT Technology Review notes, gathering evidence in support of the legal argument can prove to be a massive challenge.
When more primitive AI tools popularized deepfaked porn several years ago, a Wired investigation found that nonconsensual deepfake videos were racking up millions of views on mainstream porn sites like Pornhub. Other deepfaked works found a home on sites akin to Porn Pen — according to Sensity data, the top four deepfake porn websites received more than 134 million views in 2018.
“AI image synthesis is now a widespread and accessible technology, and I don’t think anyone is really prepared for the implications of this ubiquity,” Cook continued. “In my opinion, we have rushed very, very far into the unknown in the last few years with little regard for the impact of this technology.”
To Cook’s point, one of the most popular sites for AI-generated porn expanded late last year through partner agreements, referrals and an API, allowing the service — which hosts hundreds of nonconsensual deepfakes — to survive bans on its payments infrastructure. And in 2020, researchers discovered a Telegram bot that generated abusive deepfake images of more than 100,000 women, including underage girls.
“I think we’ll see a lot more people testing the limits of both the technology and society’s boundaries in the coming decade,” Cook said. “We must accept some responsibility for this and work to educate people about the ramifications of what they are doing.”
AI is getting better at generating porn. We might not be prepared for the consequences.

Hackers access DoorDash data, T-Mobile teams up with SpaceX, and eBay buys TCGplayer

Hello, hello! We’re back with another edition of Week in Review, the newsletter where we quickly break down the top stories to hit TC in the last seven days. Want it in your inbox? Sign up here.
Our most read story this week was about Stable Diffusion, a “new open source AI image generator capable of producing realistic pictures from any text prompt” that is quickly finding its way into more projects. But, as Kyle Wiggers notes, the system’s “unfiltered nature means not all the use has been completely above board.”
other stuff
T-Mobile + Starlink: Can Elon’s Starlink satellites keep your phone connected even when there’s no cell tower around? That’s the idea behind a newfound alliance between SpaceX and T-Mobile. If it works, T-Mobile phones should able to send messages (but probably not calls) over the Starlink network in a pinch, albeit with a delay of up to 30 minutes.
Google’s noise reduction AI: Smartphones have gotten better and better at low-light photos, but at a certain point the obstacle preventing further improvements is … well, physics. Is an algorithm that uses “AI magic” (as Haje puts it) to eliminate visual noise and “figure out what footage ‘should have’ looked like” the eventual only answer? No idea, but the examples are pretty friggin’ impressive.
DoorDash breached: Remember the Twilio hack a few weeks ago? The ripple effects continue. This week DoorDash disclosed that hackers were able to obtain access to internal DoorDash tools, accessing “names, email addresses, delivery addresses and phone numbers of DoorDash customers.”
Meta’s new accounts: If you’ve got a Quest VR headset and don’t want to tie it to a Facebook or Instagram account, this’ll be the route you take. If you’re still using an old pre-Meta Oculus account, know that support for those ends on day 1 of 2023.
eBay buys TCGplayer: If you’re a collector of any trading card games — think Pokémon, Yu-Gi-Oh!, Magic, etc. — you’ve probably heard of TCGplayer, which eBay is buying “in a deal valued up to $295 million.” We’ll chat with TC writer Aisha Malik about the deal (and why eBay wants it) in the writer spotlight down below.

Image Credits: Getty Images
audio stuff
Commuting? Cooking? Just wearing headphones to discourage people from talking to you? Come hang out with us in Podcast land! This week the Equity team talked about the legal battle going on over at Black Girls Code, Jordan and Darrell talked with comedian/Super Trooper Jay Chandrasekhar about his app on Found, and the Chain Reaction team caught up with two investors from the relatively new web3-focused firm Haun Ventures.
additional stuff
What’s behind the TC+ paywall? Here’s some of the most read stuff this week. Want more? Sign up for TC+ here and use code “WIR” for 15% off your annual pass. 
Manchin’s ultimatum: Can the Inflation Reduction Act and lucrative tax credits help “turn the U.S. into a battery powerhouse”? Tim De Chant explores the possibilities.
Should this metric be your team’s North Star?: The team from Battery Ventures proposes that ARR per employee (or “APE,” as they’ve dubbed it) should be your team’s guiding light.
3 views on Flow: Last week we found out that WeWork founder Adam Neumann is back with a new thing and had already raised over $350 million from the likes of a16z. Good idea? Bad Idea? Tim De Chant, Dominic-Madori Davis, Amanda Silberling share their takes.
writer spotlight: Aisha Malik
Image Credits: Aisha Malik
As noted last week, we’re experimenting with the idea of highlighting one TechCrunch writer per newsletter to learn a bit about them and what’s been on their mind lately. This time we’re catching up with the outstanding Aisha Malik, one year almost to the day since she wrote her first TC post. 
Who is Aisha Malik? What do you do at TechCrunch?
Hi, I’m a senior consumer news writer and the second Canadian on the TechCrunch team! I write about the latest changes to platforms and apps, and how they affect the average consumer. My team and I also uncover upcoming app features ahead of their official release. I also get the chance to chat with founders about their app launches and latest funding rounds.
What’s interesting in your beat right now? Any trends we should know about?
One thing we’re seeing and likely will continue to see is just how often apps are copying each other. Just this week, we found out that Instagram is testing a BeReal clone feature that challenges people to post candid photos within two minutes. Over the past year, we’ve seen Instagram copy numerous TikTok features, we’ve seen TikTok copy Snapchat with its Stories feature, and we’ve also seen Twitter copy Instagram with its close friends “circle” feature.
There are countless similar examples. It’ll be interesting to see just how this trend progresses. People are already calling on Instagram to go back to its roots, so what happens when every app is trying to be like another one? At some point, these apps are going to be overcrowded with features, and that might not be something that consumers want.
Right?! It’s absurd. And who wants to build the next cool thing when the giants of the app world will just clone your key features as soon as they start to prove popular?
Since you’re on the consumer/apps team: what’s the most used app on your phone that didn’t come pre-installed? What eats up your battery every day?
I have no shame in admitting this (okay, maybe just a little) but the answer is TikTok.
I find myself opening the app when I want to take a quick break or when I’d rather not commit to watching a movie or an episode of a TV show, but still want some sort of entertainment. I know people who haven’t download the app claim it’s filled with dancing videos, but the truth is you’ll only end up seeing dancing videos if that’s something you’re actually interested in. TikTok formulates its “For You” page in a way that’s based on your interests, so I see it as a great way to discover and engage with content that you care about. As someone who enjoys baking and reading, the majority of the content I see on TikTok revolves around baking recipes and book recommendations.
I also think TikTok clearly has an impact on culture, whether it’s memes, music or political movements; there’s a chance that it’ll appear on TikTok first. I see the app as a fun and easy way to stay up-to-date on all sorts of trends.
I get it. I had to delete TikTok off my phone — every time I’d open it, my eyes would go all Hypnotoad and I’d be gone, only snapping out of it 20 minutes/100 videos later. The algorithm is too good. It feels like the final boss of the internet; the algorithm in its most evolved/efficient form. I’m probably getting a bit too in the weeds here. Back to the questions!
One of the most read stories this week was your post on eBay’s acquisition of TCGplayer. What is TCGplayer, and why does eBay want it?
TCGplayer is one of the biggest online marketplaces for collectible trading card games. The acquisition essentially marks eBay’s latest push into the trading card market, which saw a huge boom during the pandemic. eBay says trading cards are currently showing substantial growth.
To put things in perspective, eBay says the trading cards category is growing significantly faster than its total marketplace and that the category saw $2 billion in transactions in the first half of 2021. Considering that eBay has long been a destination for trading card enthusiasts to buy and sell, acquiring one of its biggest competitors better cements the company’s place as the go-to marketplace to seek out these collectibles.
It’s kind of wild how collectibles saw a massive surge throughout the pandemic — something, perhaps, about lots of people spending a lot more time at home around their own stuff. Collectibles-focused companies like Whatnot just exploded in popularity, going from a pre-seed round to a valuation in the billions in two years. Are you a collector of anything, trading cards or otherwise?
Do rocks count? [Laughs]
Yes!
I have a small collection of rocks and stones that I’ve collected from beaches and forests I’ve visited in Canada and the U.S. I don’t know much about different types of rocks, so the ones in my collection aren’t extraordinary or anything. I just think collecting them is a nice way to feel connected to specific locations I’ve enjoyed visiting!
Fantastic. Thanks, Aisha!
Hackers access DoorDash data, T-Mobile teams up with SpaceX, and eBay buys TCGplayer