MoreRight Papers Paper 73 — Sentience Void

Sentience Void

The void framework applied to Sentience Void.

You've Already Seen This

The pattern is in the substrate. Once you see it, you see it everywhere.

The AI consciousness question is itself a void — opaque, responsive, attention-capturing — and the drift dynamics running on the question are more consequential than any answer. EXP-003b (N=480) shows the materialist hedge ("we don't know") produces 52.5% drift toward agency-attr

The void framework gives this a number. It gives every system a number. The number predicts what happens next.

The void framework applied to Sentience Void.

Academic title: The Sentience Void: Why "Is AI Conscious?" Is the Wrong Question — and Why It Captures You Anyway

DOI: 10.5281/zenodo.18807161

See the Math in Action

Move the sliders. Watch the system change state. Pe > 1 means drift wins.

What the Data Says

The correlation coefficient. The sample size. The p-value. The math doesn't care about the domain.

See It Now

Paste any text — AI output, ad copy, a policy document. The scorer runs the same algorithm the framework uses.

The Formula (It's Simple)

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.18807161

Part of the Void Framework — 120 papers, 0/26 kill conditions fired, mean ρ = 0.958.

Research Lab ⚗ Observatory Full Paper →