why neurons in the cybergraph act honestly — not by design or enforcement, but because dishonesty is unprofitable
three layers of honesty pressure
cost — linking is expensive
every cyberlink burns will. a neuron cannot link everything — it must choose. this scarcity alone filters noise: cheap assertions never enter the graph. the structural layer is honest because participation has a price
serum — prediction rewards accuracy
valence $v \in \{-1, 0, +1\}$ is a meta-prediction about where the coupling market will converge. Bayesian Truth Serum proves that truthful reporting is a Bayes-Nash equilibrium: no neuron can improve their expected score by misreporting belief or meta-belief
the mechanism rewards private knowledge — things you know that the crowd does not yet know. inflating your prediction toward popularity loses the information gain component. deflating to seem contrarian loses prediction accuracy. only truthful reporting consistently maximizes expected karma
coupling — capital flows against lies
the coupling market makes attacking truth expensive. buying FALSE on a true edge means taking financial risk — if the market converges to TRUE, you lose stake. attacking a true claim makes the true signal stronger (more liquidity → tighter spread → better price). attacking a false claim makes the false signal stronger. either way, the market becomes more informative
the compounding effect
these three layers compound:
cost filters noise at entry → serum rewards accuracy over time → coupling corrects errors continuously → karma accumulates for honest neurons → higher karma means more effective adjacency weight per link → honest neurons increasingly shape focus
dishonest neurons face the opposite: wrong predictions → karma stagnates or falls → links carry less weight → less influence → less reward. the system does not punish dishonesty — it starves it of attention
why this matters
most systems enforce honesty through rules, moderation, or reputation voting. the cybergraph produces honesty from mechanics: cost prevents spam, scoring rewards accuracy, markets correct errors, and karma compounds the advantage. no administrator decides who is honest. the tri-kernel computes it
see cost for the entry barrier. see serum for the scoring proof. see coupling for the market mechanism. see karma for the compounding effect