Eryk Salvaggio is Sifting Through the Techno-Social Debris —
Connecting Art, Technology & Research.
A seminar on the Algorithmic Sublime delivered at the New School for Social Research, NYC, in November 2024.
Comments from a seminar on Gaussian Pop and AI music at the Royal Melbourne Institute of Technology.
An homage to experimental filmmaker Stan Brakhage pairs AI-generated noise with moths made of data.
Exploring the compression of time within the latent space of generated AI video & sound models.
What remains when archives become datasets? Written for my Flickr Foundation Research Fellowship, these pieces look at archives as AI infrastructure and the ways the past “haunts” generated images as a result.
What if we created a diffusion model that ran on pure chance, instead of data-driven constraints?
An interview with Dogbotic's Kirk Pearson on Analog Electronics and DIY Generativity.
A conversation with sound artist and writer Bani Haykal, exploring human-machine intimacies through the media of interfaces, poetry, and sound.
A conversation about mushrooms, post-human systems design, extractive capitalism and what lays beyond.
Watch the Video Delivered for Prof. Ellen Broad’s Telstra Creativity and Innovation Series Keynote, “Redesigning Artificial Intelligence From Australia Out,” for Melbourne Design Week 2021.
An interview with the artist and researcher Caroline Sinders, whose work examines the role of mainstream platforms in supporting extremist online content.
Swiss designers AATB bring a sense of playfulness to robotics, exploring creative applications that take machines out of the factory.
An interview with Cassie Thornton of the Feminist Economics Department.
An interview with Carmen Weisskopf and Domagoj Smoljo of !Mediengruppe Bitnik.
Experiments in structures of absence, bridging analog and digital diffusion.
Sensitive Noise is a video work made from AI generated abstractions that were identified as suggestive content and blurred by Stable Diffusion’s content moderation system.
A seminar on the Algorithmic Sublime delivered at the New School for Social Research, NYC, in November 2024.
Comments from a seminar on Gaussian Pop and AI music at the Royal Melbourne Institute of Technology.
An homage to experimental filmmaker Stan Brakhage pairs AI-generated noise with moths made of data.
Exploring the compression of time within the latent space of generated AI video & sound models.
What remains when archives become datasets? Written for my Flickr Foundation Research Fellowship, these pieces look at archives as AI infrastructure and the ways the past “haunts” generated images as a result.
What if we created a diffusion model that ran on pure chance, instead of data-driven constraints?
The history of AI images as data analytics, and AI art as the aestheticization of Big Data’s politics.
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