[0] https://www.reddit.com/r/StableDiffusion/comments/1mcm7qm/wa...
Pursuit of prurient interests has pioneered so many technologies: photography, videography, AI
These models aren't the path, they're cheap workarounds that exclude the senses.
Segmentation is a cog-sci hold-over of vision science and Marr and isn't how brain's perceive scenes/objects/events.
There is a relatovely new approach to perception that ML has ignored that's integrative, coordinated, holistic. These new approaches, affective, coordinated-dynamical, ecological (optic-flow) are the likely routes to consciousness.
What ML does with images like these are retrofit, they're imposed ad hoc on imagery as a pretend form of intelligence.
https://academic.oup.com/book/35081
The senses can't be excluded from consciousness or intelligence, otherwise the notion of intelligence is reduced from an arbitrary set of tests/criteria.
Robotics and trained analogies, arbitrary ideas of affordance (which are not affordances) are definitely interesting, but they're not paths to intel. They're paths to homogenization posing as intelligence.
This is the classic robotics idea of computer vision backing itself into a corner.
https://docs.google.com/presentation/d/1Wkno8pKzWiav1a7c8IOr...
So much falls out of that reframing.
Then it's fine-tuned on: situation + intent => action => result
liuliu•4mo ago