Semantic Field Polarizer
Ki · Reasoning
The Problem
The terms "climate change" and "global warming" are used interchangeably, showing concept conflation and gradient blindness.
The Operation
This cognitive operation forces the model to identify the concept cluster and extract its core semantic dimensions. Compute the poles of maximum semantic tension along each axis and map attraction basins and repulsion boundaries. Trace the gradient between proximate concepts rather than treating them as interchangeable. Verify field topology by checking that traversal from A to B via different paths yields compatible meaning shifts. Filter retrieval paths along field lines. The reasoning applies a formal computation: tension poles = argmax(semantic distance(concept pairs), per axis).
The Structure
Structurally, this is a layered composition that analyzes at multiple levels before combining results. It iterates until no further refinement is possible.
If two closely related but distinct concepts are treated as interchangeable without marking their semantic boundary, field polarization was skipped.
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.