signal field / no user data / aesthetic only
~/scryx/external_brain
$ whoami
ScDomi // scryx
$ ./open_head --private-layer
mode: technical
signal: curated
noise: partially useful
$ show evidence
models → thought made testable
data → patterns made visible
interfaces → ideas made navigable
foundations → rules underneath
$ live trace
scroll: 00%
focus: surface
default: suspicious
↳ make the thought inspectable.scryx / private layer, made public
inside, made visible.
The part of my mind I usually keep private — made navigable through models, data, interfaces and small systems.
thought: structuredrule: testedproof: artifact
enter the map
brain interface
not a portfolio. a map of how I think.
scryx is where the recurring loops go: learning systems, data traces, model behavior, strange interfaces, and the proof crumbs that make the thought inspectable.
open thought --make visible
trace pattern --until repeatable
test rule --against default
ship artifact --not just opinion
status: strange, but inspectable
scryxOS
A lens for the same obsession: make the invisible structure navigable. Press ⌘ /.
human brain simulation / demo
not a full brain. a tiny cognitive loop you can poke.
This is the honest version: no fake 86-billion-neuron cosplay. It is a small spiking-style network with memory, attention, planning and feedback — a toy model of the loop behind an external cortex.
modeidle cortex
active neurons000
synaptic flow0.00
truth check
A real human brain is ~86B neurons and ~100T synapses. This page simulates the idea: signals compete, memory biases the next thought, feedback changes the path.
perceptionincoming signal
memoryweighted context
planningnext action search
feedbackrule update
Artifacts
artifacts from the private layer.
Each card is a proof crumb: what the thought became when it had to run, render, or explain itself.
operating logic
the loop behind the surface.
No random aesthetic board. scryx follows the same loop: notice the surface, trace the pattern, test the rule, turn the result into an artifact.
Look at the visible thing without trusting the label on it.
Find what repeats across models, data, interfaces, language and behavior.
Treat the default as editable. Change the rule and watch what breaks.
Make the thought runnable, visible, inspectable — otherwise it is just taste.