News Ticker

GAN Technology: New Cutting-Edge Deep Fakery for the Kakistocracy’s Crime Syndicate

IMAGE: Security Intelligence

The kakistocracy’s Crime Syndicate arm, among other dirty tricksters, now has at its disposal new cutting-edge technology for creating fake personas. Nvidia researchers posted details of the method for producing completely imaginary fake faces with stunning, almost eerie realism. Here’s the paper. Coupled with computer generated images (CGI), one might as well largely disregard almost all that emerges from the Lugenpresse and Brave New World sources.

It’s called a “generative adversarial network,” or GAN. GANs employ neural networks to train a computer to learn the nature of a data set well enough to generate convincing fakes. When applied to images, this provides a way to generate often highly realistic fakery. Nvidia’s promo video demonstrates the new technology.

Researchers took inspiration from a technique known as style transfer to build their GAN in a fundamentally different way. This allowed their algorithm to identify different elements of a face that “researchers” could then control. The approach can also be manipulated and remixed using varied elements, such as age, race, gender or even freckles. Some results are shown below.

Image result for "generative adversarial network", or GAN. GANs

GAN-generated faces

Adobe also has a project that uses GANs to improve the realism of images after they have been manipulated. GANs can also be used to sharpen up degraded images or older video. Of course, this could be used to ever-so-slightly alter to appearance of real “crisis actors” in future visual presentations, or eliminate the need for them altogether.

Image result for crisis actor same girl


Read “Did Rochester Institute of Technology Class of ’07 Grads Provide Fake Personas for the Vegas Shooting?”

Psychologically, this advancement should be a slam dunk for pulling off hoaxes, blackmail, compromising people, assassinations, false flags and black ops. “Kayfabe” can now be enhanced. This is a term associated with pro wrestling, meaning presenting staged performances as authentic or real. Fake drama, fake tension, fake feuds. Jeff the pro wrestling fan explains it.

It’s fertile ground as several generations have already been brain warped through video gaming and “reality” TV to the point that they can scarcely discern CGI fiction, or what Winter Watch calls the “Cartoon World.” And most of the population either are unable to apply critical thinking or are too naive to process even glaring examples of skulduggery.


Read “The Aurora Shooting: Sometimes Pictures are Louder than Words”

Motherboard discovered a Reddit editor (redditor) named “deepfakes”. Just a random dude who happened to enjoy playing the swap game with celebrity faces with the help of publicly available porn videos, a machine learning algorithm and his trusty home computer, of course. He made several convincing porn videos of celebrities, including Gal Gadot, Maisie Williams, Taylor Swift, Scarlett Johansson, Maisie Williams, Daisy Ridley and Aubrey Plaza.

This amateur was quoted as saying, “I want to improve it to the point where prospective users can simply select a video on their computer, download a neural network correlated to a certain face from a publicly available library and swap the video with a different face with the press of one button.”

False evidence needed to drum up star chamber crime charges? How much easier has blackmail and compromise become — as in “Hello, we taped your private intimacies and we know what you did.”

Who needs elaborate old-school compromising operations like Jimmy Savile, Craig Spence and Jeffrey Epstein when you have this tool? And we already know who’s minding the hen house.

5 Comments on GAN Technology: New Cutting-Edge Deep Fakery for the Kakistocracy’s Crime Syndicate

  1. In the early 80’s I studied at what was then called MIT’s Center for Advanced Visual Studies. Nick Negroponte had a cyber lab called Architecture Machine Group (ARCMAC) which was at the forefront of fakery. His favorite project was a limitless cache of Richard Nixon frames which were paired up with a vocal recognition cell – one could speak into it and make Richard Nixon seem to say anything. That was nearly 40 years ago. There is no guarantee that anything viewed on MSM has any basis in reality.

  2. There’s a separate pattern worth noting, with drones as a parallel example. First, launch ‘consumer’ drones and let everyone and their brother buy one as drone technology gets ever more sophisticated. As the military and surveillance world use them more and more, people know what they are so there’s no mystery.
    Then ban them – the mysterious passenger flight groundings in the UK just before Christmas because of ‘drone encroachment’ into Gatwick was the ‘action, reaction, solution’ with that one. Today if you own a drone in the USA you have to mark an FAA number you have bought from the government along with your license to fly it in approved airspace only.

    The deepfake push was similar last year – big media fuss about Hollywood media assets faces being crudely ‘pasted’ onto porn clips, while simultaneously Nvidia and Adobe are publicly demonstrating sophisticated visual and audio facial and body image manipulation. As always -problem reaction solution – great consternation about porn and restriction of usage of these tools by the peons, with legal penalties being drafted for inappropriate use, while the crime syndicate continue to use these ever more sophisticated techniques to manipulate the masses….

  3. I am inclined to believe this technology was used in the fake YouTube shooting, with the supposed shooter Nasime Sabz being a computer generated individual.

Post a Comment

%d bloggers like this:
Secured By miniOrange