Latent space: Difference between revisions

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* Networks of attachments
* Networks of attachments
* How does it relate / sustain a collective? (human + non-human)
* How does it relate / sustain a collective? (human + non-human)
From "Maps": _Secondly, there is a 'latent space'. Image latency refers to the space in between the capture of images in datasets and the generation of new images. It is a algorithmic space of computation models where images are first encoded with 'noise', and the machine then learns how to how to de-code them back into images (aka 'image diffusion')._
From "Maps": _Secondly, there is a 'latent space'. Image latency refers to the space in between the capture of images in datasets and the generation of new images. It is a algorithmic space of computational models where images are, for instance, encoded with 'noise', and the machine then learns how to how to de-code them back into images (aka 'image diffusion')._


== How does it evolve through time? ==
== How does it evolve through time? ==

Revision as of 14:31, 7 July 2025

What is the network that sustains this object?

  • How does it move from person to person, person to software, to platform, what things are attached to it (visual culture)
  • Networks of attachments
  • How does it relate / sustain a collective? (human + non-human)

From "Maps": _Secondly, there is a 'latent space'. Image latency refers to the space in between the capture of images in datasets and the generation of new images. It is a algorithmic space of computational models where images are, for instance, encoded with 'noise', and the machine then learns how to how to de-code them back into images (aka 'image diffusion')._

How does it evolve through time?

How does it create value? Or decrease / affect value?

What is its place/role in techno cultural strategies?

How does it relate to autonomous infrastructure?