Cognition keeps showing up where we did not put it. Strange Rules turns Palazzo Diedo into a working laboratory for that suspicion, with Picbreeder and planarian worms as its strangest witnesses. †
https://t.co/uch3ac4cuy
NOTES FROM THE AVANT NFT UNDERGROUND
A core member of the community (@gardenparty85) traces a history of the grassroots movement mining subculture to the limit
https://t.co/wynmpZAlOK
In the icy expanse of northern Russia, Igor Elukov’s Book of Miracles reimagines creation as collaboration with chaos—where theology, tundra, and technology collapse into one sublime uncertainty. †
https://t.co/6Gfmg4hkQG
n:euganics [a portrait of the many] is created by breeding two distinct #GAN models: one, trained on my private collection of photographs taken over the past eight years; the other, a public model trained on a wide array of internet-sourced human faces.
StyleGAN2, DALL-E 2, custom dataset, 2023
"In the ideal world I would never have to produce any output. I would just enjoy the process… For me, the outputs are just a receipt that the system is working." - @quasimondo 🧾
https://t.co/dU9QLAR3dR
In this joint show at Galerie Yeche Lange, Supermetal Bosch and Evil Biscuit stage a surreal convergence of nostalgia, speculative economies, and algorithmic collapse.
@supermetalx@bis__cut@Yeche_Lange@syscry_
https://t.co/A4d9XIRwUa
Really pleased how his one came out
🛡️
Soft Shield (2023-2025)
A protoseeder ie. created with the Mutant Garden algorithm. The original output was generated in 2023. 1/1+1AP
Photographic exposure on slightly metallic paper
71 × 71 × 5cm / 28.0 × 28.0 × 2.0″
Excited to showcase current pieces from @JanRobertLeegte’s JPEG series at Hallen 06 Festival, part of @BerlinArtWeek
Since the 1990s, Jan Robert Leegte has examined the materiality of digital culture, isolating its elements and treating them as building blocks. In his JPEG series (2022–), he doesn’t show the image as JPEG, but the JPEG itself—as file format and compression.
If in Berlin, please drop by !!
n:eugenics [a portrait of the many] is created by breeding two distinct #GAN models: one, trained on my private collection of photographs taken over the past eight years; the other, a public model trained on a wide array of internet-sourced human faces.
StyleGAN2, DALL-E 2, custom dataset, 2023