how the personal robot shows what is true, false, or void
the cybergraph computes cyber/truth — two-factor truth from structure and markets. cyb renders it for a human who needs to act on it
what the robot displays
for every particle and axon the user navigates:
| Signal | Source | What the user sees |
|---|---|---|
| cyberank | tri-kernel | how much the graph attends to this |
| coupling price | ICBS market | collective belief: 0 → false, 1 → true |
| valence distribution | all neurons who linked | +1 / 0 / -1 breakdown |
| karma of linkers | accumulated prob | who linked this and how trusted they are |
trust signal
the robot does not say "this is true." it says "here is what the graph knows, weighted by conviction and track record." the user decides
three levels of confidence rendering:
| Market price | Display |
|---|---|
| p > 0.8 | strong signal — most neurons agree |
| 0.3 < p < 0.8 | contested — genuine disagreement |
| p < 0.3 | weak or suppressed — collective disbelief |
void-valence links are shown separately — structural connections with no epistemic commitment
the robot's own valence
when the robot creates cyberlinks on behalf of the user, it must choose valence. the default strategy: void for exploratory links, true/false only when the user explicitly commits conviction. the robot does not predict on the user's behalf without consent
see cyber/truth for the protocol mechanics. see cyb/oracle for how the robot answers questions