2023
Research, Archival, Editorial Design, Print Production
Everyday the internet evolves. Millions of images are uploaded, shared, and forgotten. RIP THE NET aims to highlight the absurdity of how we churn through digital information.
When something is printed and published it seems to gain an implicit value, so RIP THE NET plays off that by being bound to be destroyed. It is a publication that must be ripped to be read.
RIP THE NET features images from LAION-400M, a dataset of 400 million images scraped from across the internet, finding 'digital detritus': content that is outdated, abandoned, or unlikely to be seen again by other humans. And yet this same content is being used to train AI models and provides the basis for large-scale internet research.
RIP THE NET is available directly or from Good Press.
