3 Min.

The Thirst All Gone

    • Bücher

"But it’s not romantic now, and I’d be a hypocrite to say so. Water from my own fountain, I still manage to make myself thirsty at the end of a long winter, ten degrees centigrade, but I’d also laced my boots with ice cubes, chew edibles, dislodge Yuk-Cheeks, and pass out Oatmeal Deluxe this morning, and I think I’m on the verge of a full-blown hypoknowledge."

All Gone is an experiment in collaborating with AI to shed light on climate imaginaries. In the project, AI functions as our co-author, who has (machine) learned about climate imaginaries on the basis of training sets of climate fiction literature, indigenous climate change stories, climate-themed visual arts, and Hollywood ‘climate disaster’ film trailers.

All Gone was made by the Visual Methodologies Collective at the Amsterdam University of Applied Sciences. This project is part of the larger program Climate Futures: Machine learning from cli-fi, in which we collaborate with algorithms to create new imaginaries for life with a changing climate. Climate Futures is kindly supported by CoECI Amsterdam.

https://www.visualmethodologies.org/

"But it’s not romantic now, and I’d be a hypocrite to say so. Water from my own fountain, I still manage to make myself thirsty at the end of a long winter, ten degrees centigrade, but I’d also laced my boots with ice cubes, chew edibles, dislodge Yuk-Cheeks, and pass out Oatmeal Deluxe this morning, and I think I’m on the verge of a full-blown hypoknowledge."

All Gone is an experiment in collaborating with AI to shed light on climate imaginaries. In the project, AI functions as our co-author, who has (machine) learned about climate imaginaries on the basis of training sets of climate fiction literature, indigenous climate change stories, climate-themed visual arts, and Hollywood ‘climate disaster’ film trailers.

All Gone was made by the Visual Methodologies Collective at the Amsterdam University of Applied Sciences. This project is part of the larger program Climate Futures: Machine learning from cli-fi, in which we collaborate with algorithms to create new imaginaries for life with a changing climate. Climate Futures is kindly supported by CoECI Amsterdam.

https://www.visualmethodologies.org/

3 Min.