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### reasoning
WFGY introduces a ΔS-based multi-perspective reasoning engine. Unlike traditional symbolic logic, it simulates observer shifts and semantic force-fields to derive meaning.
### semantic-tension *(coming soon)*
Placeholder. Based on the ΔS formula from WFGYs mathematical model. Explains tension between input expectation and perceived resonance.
### semantic-tension
A core variable in the WFGY engine, ΔS (semantic tension) quantifies the "pull" between a users prompt and the models internal semantic field.
High ΔS implies misalignment or conceptual stretch; low ΔS means semantic stability.
This allows models to detect vague, contradictory, or overly compressed queries — and respond accordingly with disambiguation or reflection.
### language-alignment *(coming soon)*
Placeholder. Focuses on how WFGY redefines alignment not as static obedience, but dynamic semantic coherence.
Used across all WFGY Family tools to guide hallucination control, multiview logic, and prompt reformulation.
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### language-alignment
Traditional alignment asks: *“Did the model follow instructions?”*
WFGY reframes this as: *“Did the output resonate semantically with the prompts intent, tone, and logic?”*
This dynamic alignment checks internal coherence (ΔS), observer compatibility (λ_observe), and resonance energy (E_resonance).
It treats alignment as a living semantic contract — not just accuracy, but meaning integrity.
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