White means real and Black means fake. Note that all of the code was written by hand (no ML frameworks used) so there might be some bugs, I especially doubt my GAN implementation (the neural network layers are well tested though). EDIT: I tried using pure SGD (no momentum) with a carefuly picked lr and some lr decay, but it always end up exploding.. https://gfycat.com/SeveralUnfinishedBuck EDIT2: If the lr is too high you see what happens above, and if the lr is too low it converges very slowly but the discriminator still has a lot of work to do.

Software engineer Henry Gan got a surprise last summer when he tested his team's new facial recognition system on coworkers at startup Gfycat. The machine-learning software successfully identified most of his colleagues, but the system stumbled with one group. "It got some of our Asian employees mixed up," says Gan, who is Asian. "Which was strange because it got everyone else correctly." Gan could take solace from the fact that similar problems have tripped up much larger companies.

Facial recognition and machine learning programs have officially been democratized, and of course the internet is using the tech to make porn. As first reported by Motherboard, people are now creating AI-assisted face-swap porn, often featuring a celebrity's face mapped onto a porn star's body, like Gal Gadot's likeness in a clip where she's supposedly sleeping with her stepbrother. But while stopping these so-called deepfakes has challenged Reddit, Pornhub, and other communities, GIF-hosting company Gfycat thinks it's found a better answer. While most platforms that police deepfakes rely on keyword banning and users manually flagging content, Gfycat says it's figured out a way to train an artificial intelligence to spot fraudulent videos. The technology builds on a number of tools Gfycat already used to index the GIFs on its platform.

Pornhub will be deleting "deepfakes" -- AI-generated videos that realistically edit new faces onto pornographic actors -- under its rules against nonconsensual porn, following in the footsteps of platforms like Discord and Gfycat. "We do not tolerate any nonconsensual content on the site and we remove all said content as soon as we are made aware of it," the company told Motherboard, which first reported on the deepfakes porn phenomenon last year. Pornhub says that nonconsensual content includes "revenge porn, deepfakes, or anything published without a person's consent or permission." As Motherboard points out, you can still find dozens of fake celebrity porn videos simply by searching "deepfakes" on Pornhub. A statement from company VP Corey Price, given to The Verge, says that this content will be removed as Pornhub is made aware of it, pointing us to Pornhub's content flagging form.

Films depicting celebrities' faces superimposed on to adult film actors using AI also banned from Gfycat, but not Reddit Wed 7 Feb 2018 05.38 EST Last modified on Wed 7 Feb 2018 05.39 EST Twitter and Pornhub have become the latest platforms to ban pornography made using AI-generated face-swap technology – known as "deepfakes" – as non-consensual porn. There has been an explosion in the creation of videos that use cutting-edge machine learning techniques to superimpose the faces of female celebrities on to explicit clips, due to the release of a desktop app that streamlines the process in January. But critics have condemned the videos as tantamount to revenge porn – an accusation which appears to have stuck. Gif hosting service Gfycat, which was the most popular way of sharing the short pornographic clips, also banned them, citing terms of service (TOS) that allows it to remove "objectionable" content. Now, adult entertainment site Pornhub and Twitter have followed Gfycat in banning the content.

The most popular hosting site for "deepfakes" is now actively removing fake porn gifs from its site. "Deepfakes" are fake porn videos generated using a machine learning algorithm, allowing people swap the faces of celebrities--or their friends and acquaintances--onto the bodies of porn performers. The form has gone viral over the last few weeks as they have become easier to make. Tuesday, users in the r/deepfakes subreddit started noticing that some of the gifs uploaded to image hosting platform Gfycat were removed. Gfycat is similar to Imgur and several other sites in that it is a popular place to host media that is posted to Reddit (and elsewhere on the web).

Pornographic videos that used new software to replace the original face of an actress with that of a celebrity are being deleted by a service that hosted much of the content. San Francisco-based Gfycat has said it thinks the clips are "objectionable". The creation of such videos has become more common after the release of a free tool earlier this month that made the process relatively simple. The developer says FakeApp has been downloaded more than 100,000 times. It works by using a machine-learning algorithm to create a computer-generated version of the subject's face. To do this it requires several hundred photos of the celebrity in question for analysis and a video clip of the person whose features are to be replaced.

It was only a matter of time before more sophisticated fake porn videos surfaced online. But a crackdown on this super-realistic fake porn is already beginning. Reddit and Gfycat, two popular platforms where users have been uploading the fake porn, have begun to eradicate the manipulated smut, which is often so convincing that it blurs the contours of reality itself. This type of fake porn, also referred to as deepfakes, involves mapping someone else's face onto a porn star's body. While fake porn has existed for years, free and more powerful tools using artificial intelligence now afford trolls a way to create more realistic videos, given they have enough images of their victim to recreate a scene.

Embedding a GIF into your blog post is often a hilarious way to illustrate your reactions, but the GIFs themselves can be low in resolution, like text running across an image that's too blurry to read. Gfycat is offering an AI-powered solution to improve GIF quality with machine learning, according to a press release. "Human curation doesn't take into consideration people's tastes and mood, so we've created our own AI tools," CEO Richard Rabbat told The Verge in a statement. Because the company loves cats, it has named each of its three parts of the solution after a feline. The first, called Project Angora, involves searching online for a GIF video source, then swapping out the GIF with a higher-res version.

There can be plenty of copies of the same video clips as a GIF, or maybe it's just difficult to capture and upload, but Gfycat hopes that it can be solved at a technical level. Gfycat is now making a big push on the technical front to make those GIFs look better and more discoverable as creators look to continue to upload content, regardless of what kind of quality or fidelity they are. And it's more of a video problem than an image recognition problem, CEO Richard Rabbat said. "We have scaled [through] creators through word of mouth, and they are just getting excited about Gfycat and [creating] content," Rabbat said. "In many cases, what we're building from an AI and machine learning perspective are additional tools to support their excitement. We want to enable them to drive more virality for their content, and in this case, make their content even more easily discoverable. That's something that's very important to us as we keep focusing on the creators."