the new ecologies of human and machine, linking the output to climate data (NASA GISS Surface Temperature Analysis (GISTEMP v4)) and to the activity of pieces from the same ecology that are released on the Tezos blockchain, on fx(hash). The distortions are linked to those pieces and to climate data. See below or the browser console in live view for a command reference to explore the piece.
each output is created from a combination of images pregenerated with stable diffusion 1.4, using custom models trained on the author’s own nude self-portraits and three generative systems that the author created. Naked human – naked machine. The images are combined using generative techniques.
Marcelo Soria-Rodríguez, @msoriaro CC BY-NC-SA 4.0, https://creativecommons.org/licenses/by-nc-sa/4.0/
Built on p5.js + glsl + stable diffusion Temperature anomalies data from: GISTEMP Team, 2023: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies. Dataset accessed 2023-08-05 at data.giss.nasa.gov/gistemp/.
URL commands to append in live view append &pd=N (N a number) to increase/decrease resolution. Default in most systems is 1 or 2. append &uComp=0,1 or 4 to obtain different views append &uGl=0 to remove climate distortions append &tzAct=N to set the level of distortion due to activity in the related pieces released on the Tezos blockchain. N=1 very high, N>10000 negligible append &yearB=YYYY (year between 1890 and 2022) to see climate distortion from that year append &autoReload=0 to prevent the piece from reloading new outputs periodically append &refreshTimeout=N to set the piece to generate a new output every N seconds
Keyboard commands press d to input climate data in this format: download the file https://data.giss.nasa.gov/gistemp/tabledata_v4/GLB.Ts+dSST.txt, open in text editor, copy entirely and paste in the first field. press s to save current image in current resolution press q to stop auto generation of images (one every 120 seconds) press l to stop the animation
