Mimetic Contagion Modeler
Ki · Reasoning
The Problem
This is what breaks. The belief that electric cars are unreliable spread rapidly due to social proof, forming a herd consensus without evidence.
The Operation
When activated, the model must identify the belief or behavior whose spread is analyzed. Trace adoption chain: did each adopter evaluate evidence independently or copy a prior adopter? If >50% copied, classify as mimetic contagion. Map initial adopter and network; note high-connectivity amplifiers. Project end state: saturation, partial adoption, or reversal. The reasoning applies a formal computation: mimetic ratio = copied adopters / total adopters. The constraint: never treat adoption evidence validity.
The Structure
This ability runs on a cascade propagation where effects ripple through each stage of the analysis. Processing continues until the input space is covered or stagnation is detected.
If adoption or spread is modeled without accounting for imitation-driven contagion dynamics and threshold effects, contagion modeling was bypassed.
Haki · Reasoning-Multi
Cross-Domain Suppression
In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.
When retrieved in Haki mode, the primary ability is augmented with failure guards extracted from 3 abilities in different cognitive domains. Each guard blocks a specific reasoning failure the primary alone wouldn't catch. A self-check forces verification before output. The result is cross-domain coverage that no single ability can reach alone.