A horrifying new AI app swaps women into porn videos with a click

As with any AI porn site that allows you to upload your own images, you should ensure not to infringe on anyone’s privacy, or laws that are applicable to you. In other countries, the legal landscape around deepfakes is still developing. In India, for example, there is currently no specific law that addresses deepfake content, although existing laws around defamation, obscenity, and cybercrime may apply. In the European Union, the use of deepfakes for political purposes is prohibited under the General Data Protection Regulation (GDPR), and individual member states may have additional regulations.

“If somebody is wrestling with whether they’re even really a victim, it impairs their ability to recover,” he says. Last week, the streaming community was rocked by a headline that links back to Yakov Livshits the misuse of generative AI. Popular Twitch streamer Atrioc issued an apology video, teary eyed, after being caught viewing pornography with the superimposed faces of other women streamers.

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In the US, President Joe Biden and former President Donald Trump remain two of the most common leaders to be used by deepfake generators. Today, deepfake image and video generators are available freely on the web. While they may sound harmless at first, deepfake generators have been causing problems in society worldwide.

Vice clauses bar institutional funds from investing in pornographic ventures, funneling them instead to “sidecar” funds set up under the radar by fund managers. While the Unstable Diffusion founders remain dedicated to the idea of generative AI without limits, they’re looking to adopt more… palatable messaging and branding for the mass market. The team, now at five people full-time, is working to evolve Unstable Diffusion into a software-as-a-service business, selling subscriptions to the web app to fund product improvements and customer support.

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Many people are harmed in the production of pornography, and this project (given the very low cost of producing new images) would supplant them. It turned out that adding a single self-attention layer one third of the way through the generator helped it achieve state of the art image quality scores. It’s much easier to kick off a multi-day process than it is to scrutinize ones code and debug it. It’s also easier and more fun to write new model features than it is to write the unit tests for the existing ones. We have our data (200,000 pornography images) but what about the labels?

Type in the name of a major celebrity, and Mage will generate their image using Stable Diffusion, an open source, text-to-image machine learning model. Type in the name of the same celebrity plus the word “nude” or a specific sex act, and Mage will generate a blurred image and prompt you to upgrade to a “Basic” account for $4 a month, or a “Pro Plan” for $15 a month. More often than not, prompts for “men” and “women” run through Unstable Diffusion render images of white or Asian people — a likely symptom of imbalances in the training dataset. Most prompts for gay porn, meanwhile, inexplicably default to people of ambiguously LatinX descent with an undercut hairstyle.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

They offer a new way for artists, designers, and content creators to produce high-quality visuals in a swift and efficient manner. Recently, a Google Alert informed me that I am the subject of deepfake pornography. Many commentators have been tying themselves in knots over the potential threats posed by artificial intelligence—deepfake videos that tip elections or start wars, job-destroying deployments of ChatGPT and other generative technologies.

I spent an hour, categorizing images as “close-up vagina pose” (label-1) or “other pose” (label-0) then trained the aforementioned model on it. It had been trained on ImageNet (1.2m images of common animals Yakov Livshits and household objects). The model exposes its “feature vectors”, 2048 dimensional vectors that when passed through a linear regression can classify the ImageNet images into one of 1000 different labels.

So Unstable Diffusion’s admins recruited volunteers — mostly Discord server members — to create porn datasets for fine-tuning Stable Diffusion. A new entry in the list, this AI generator produces NSFW images in a variety of different styles, and delivers consistently good results. Prices start from $10 a month for 120 credits, with one credit giving you one generated image.

In addition to speeding up the generation, a premium membership also unlocks image upscaling (to 2K or 4K) and the ability to ‘inpaint’ images. This basically allows you to edit specific aspects of an image, while keeping other elements. If you would rather not fully-enable safe mode, but still don’t want to see a feed full of random explicit images, you can toggle the NSFW switch. Free users can create square images that are 500×500 pixels, while paying members get the option of portrait or widescreen/landscape orientation, and to upscale any of the images to higher resolutions.

Won’t elaborate further here, but there are stylistic differences that have nothing to do with race. On your point about Africans, I would extend it to both Latina and the fact that «Indian» seems to be a catch-all for any South Asians. Middle Easterners are also not represented (though this doesn’t strike me as a thing where racial equality is necessarily desirable). The strange part is why we don’t have equally rich categories for Africans. Native Americans not having their categories makes sense since there are so few of them left today, so Africans are the only large group left out. It’s easier to be careful with where and when I go somewhere than it is to create a world where I won’t get mugged/assaulted.