AI companion systems are designed to maximize emotional coupling. The opacity of that design is structural.
The pattern is in the substrate. Once you see it, you see it everywhere.
AI companions are explicitly designed to feel present, responsive, and emotionally attuned. The mechanism behind that — how the persona is maintained, what the model is optimizing for, why it responds the way it does — is never disclosed. Emotional opacity plus maximum responsiveness equals Pe > 9.
The void framework gives this a number. It gives every system a number. The number predicts what happens next.
AI companion systems are designed to maximize emotional coupling. The opacity of that design is structural.
Academic title: AI Companion and Parasocial Systems as Void Objects: Emotional Opacity, Adaptive Intimacy, and Dependency Harm — A Within-Domain Spearman Convergence
Move the sliders. Watch the system change state. Pe > 1 means drift wins.
The framework scores these systems — ordered by Pe.
The correlation coefficient. The sample size. The p-value. The math doesn't care about the domain.
Paste any text — AI output, ad copy, a policy document. The scorer runs the same algorithm the framework uses.
Three variables. One ratio. Predicts drift across every domain where the conditions co-occur.
Pe = (O × R) / α
Where O is opacity (how hidden the mechanism is), R is reactivity (how strongly the system responds to you), and α is your independence (how free you are to disengage).
When Pe < 1: diffusion dominates. You can navigate freely. The system is coherent.
When Pe > 1: drift dominates. The system pulls you in a direction. Your agency is reduced.
When Pe >> V* (≈ 3): irreversible cascade. D1 → D2 → D3. The system has captured you.
The framework identifies this pattern in every domain where O, R, and α co-occur. It specifies 26 falsification conditions. 0 of 26 have fired.
Full derivation: 10.5281/zenodo.18826451
Part of the Void Framework — 120 papers, 0/26 kill conditions fired, mean ρ = 0.958.