The space-time crises we are currently experiencing increasingly confront us with signs of the melting of time, shifts that occur not only at a material level but also ontologically. What possibilities do we have to glimpse the functioning of other worlds and recognize the existence of pluriverses? Starting from this same strangeness of contemporary viscosities opens up the possibility of imagining worlds designed by other non-human agencies, even beyond our time.

Visions of the Fungicene is a speculative approach to articulating new spatiotemporal frameworks for future ecosystems. Through digital media, it depicts a possible scenario of planetary terraforming (post-Anthropocene), co-designed based on the biological principles found in the morphological patterns of various fungal species. These patterns guide artificial intelligence algorithms to generate ecosystems, planetary landscapes, and neo-topographies: synthetic territories that would reconstitute the current scenes of devastation in another world.

In approaching the design process of this imaginary, a bridge of symbiotic methodologies is enabled between fungal intelligence and artificial intelligence. Using databases containing photographs of three genera of basidiomycete fungi: Agaricus, Amanita, and Suillus, a machine learning model based on StyleGAN2 (an artificial intelligence program) is trained to learn the patterns of textures and morphologies of fungi to generate new series of images based on these patterns.