As AI-generated images become increasingly indistinguishable from »real« photographs, there has been much talk about how this will undermine our trust in visual representations. But we may also see other, more fundamental changes in the relationship between image and reality. Photography has never been an objective mirror of reality, and manipulation is as old as the medium itself. But even as it has sought to represent the world, photography has also transformed it, making reality more »photogenic« by turning places and events into »photo ops«. Of course, this tendency has been further amplified by the ubiquity of smartphone photography and social media: shops, restaurants, exhibitions, tourist destinations, even dinners are now valued for their »instagrammability« and carefully designed to look good in digital photos. Thus, instead of photography mirroring reality, our reality has long since begun to mirror photography, remade to produce perfect images. But what if AI image generation is about to change that? Already, most images we see online are highly filtered versions of our world.
As AI becomes more and more integrated into everyday image production, we need less and less "reality" to produce more and more impressive pictures of it. The world only gives us the raw data, everything else happens in post-production. We donāt need to wait for the perfect sunset, our dinner doesn't have to look flawless, and we donāt have to worry about other people ruining our perfect shot. As the researchers behind GEN-1 call it, we can take the Ā»structureĀ« of reality and completely remake its Ā»contentĀ«. In a way, this seems dystopian: it's the end of a shared visual reality, as everyone can automatically adjust and filter their environment according to their mood and aesthetic preferences. On the other hand, it could also free reality from the need to look good in photos ā¦