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

Karl gmkarl at gmail.com
Mon Dec 20 17:08:37 PST 2021


[spam]
my big issue is only being able to code a little at once, so planning
the whole expansion of the algorithm is ideal.  if it can write itself
from one start, that's the best.  unsure how doable that is.

with what i have with me i'd probably need to handbuild its
environment more than i'd like, which is still physically possible.

i'm thinking of the structural aspects: belief tracking,
communication, etc.  what's really available is models.  i've spent
some time with mainstream neural networks, so that's what's easy for
me to use nowadays.  trying to work with others and not use too much
of my brain :/

regarding models, how do these store things like beliefs,
communication norms, etc?
each part of the architecture could be a model, or it could be code.
code doesn't adapt as well,but is clear and small.
similarly, an architecture can be a single 'agent', or it can be
multiple agents working together.  when multiple ones work together,
this gives them the possibility of discovering new architectures.

discovering new architectures seems pretty helpful when the primary
goal of the system is to craft general algorithms for engaging new
systems.  there are also freely available models that can generate
source code.  and the system could probably be tuned to have fixed
source code.


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