There are two parallel image channels that dominate our daily visual consumption. In one, there are real pictures and footage of the world as it is: politics, sport, news and entertainment. In the other is AI slop, low-quality content with minimal human input. Some of it is banal and pointless – cartoonish images of celebrities, fantasy landscapes, anthropomorphised animals. And some is a sort of pornified display of women just simply … being, like a virtual girlfriend you cannot truly interact with. The range and scale of the content is staggering, and infiltrates everything from social media timelines to messages circulated on WhatsApp. The result is not just a blurring of reality, but a distortion of it.
A new genre of AI slop is rightwing political fantasy. There are entire YouTube videos of made-up scenarios in which Trump officials prevail against liberal forces. The White House account on X jumped on a trend of creating images in Studio Ghibli style and posted an image of a Dominican woman in tears as she is arrested by Immigration and Customs Enforcement (Ice). AI political memefare has, in fact, gone global. Chinese AI videos mocking overweight US workers on assembly lines after the tariff announcement raised a question for, and response from, the White House spokesperson last week. The videos, she said, were made by those who “do not see the potential of the American worker”. And to prove how pervasive AI slop is, I had to triple-check that even that response was not itself quickly cobbled-together AI content fabricating another dunk on Trump’s enemies.
The impulse behind this politicisation of AI is not new; it is simply an extension of traditional propaganda. What is new is how democratised and ubiquitous it has become, and how it involves no real people or the physical constraints of real life, therefore providing an infinite number of fictional scenarios.
For how long though? The issue with detecting AI generated stuff, Id imagine, is that a picture contains a finite amount of information, especially a digital one. These things have been improving relatively quickly, and I cant think of any fundamental reason why one could not eventually create images where every pixel is as it would be if that image were real, or at least close enough that detection is not even theoretically possible if you dont have some actual proof that the event depicted couldnt have happened. We may not be there yet, but the closer we get to it, the more prone to error and therefore less useful any detection algorithm must be.