[ot][notes][ai][worldpeace] Hyperint. Draft

[Karl]

[spam][dreaming of bikesheds, like usual]

i'm trying to think on multimodality.  new modes are really
unfamiliar.  vision vs audio vs text.
i think there are models now, like the perceiver, that can pick things
up pretty fast if there are known data labels.  data labels aren't
that hard to come up with when everything is in overlapping
communities/homeostasis-communication systems.

still, it's intersting to consider engaging data of unknown mode.  a
lot of community and hyper information is likely of unknown mode.  i
guess that's mostly a problem of having a way to find useful patterns
in the data, and a way to use theoretical labels with it.  maybe some
kind of GAN-like system?

if a system formed properties of communities, maybe it could learn to
look in new data to identify where these properties were present by
highly valuing patterns in patterns.  looking for things like
communication, part-bounds, repetitive scheduling, responding to
nearness, categorisation of parts ...