DATA FLESH

DATA FLESH

Felipe Elgueta | Chile | 4 Min

DATA FLESH is an exercise on the revival of images, as it endows them with a sense of erratic meaninglessness. Similar to the scrolling experience of the 2010s, it’s a ritualistic and monstrous gesture towards the world’s infinite visual archive. Initially lost images from the internet serve to foreshadow potential futures of the medium itself.

We are at a turning point where images can assume three-dimensional forms, be printed as volumetric objects, processed by algorithms that learn from them, and modified by adding or subtracting parts. Never before have images been so alive and lifeless simultaneously. Zombie images are enslaved by the limits we’ve bestowed upon them, yet they only yearn to dream by themselves.

This short film employs generative algorithms to craft images and animations, focusing on the process’ errors that unveil certain biases and forecast new paradigms for moving images.

#post-internet art #algorithms #AIart #glitches

animation | AI generated

experimental

Director

Felipe Elgueta

Felipe Elgueta is a filmmaker and professor of Documentary Film at Universidad de Chile. He specialized in Contemporary Media at LAV (Madrid). He works as a VFX and AI film post-producer. His films have been showcased in festivals such as Visions du Reel (Switzerland), Clermont-Ferrand (France), NEMAF (Korea), Docs MX (Mexico) and Exp22 (Barcelona).

Currently, he’s involved in film projects that incorporate computational programming in Machine Learning, NeRF, VR and 3D. He is currently based in and working from Barcelona.

– Sombra Vertical (Short film, 2021)
– Snap (Short film, 2018)