← Papers · Paper 16B — AI Art · MoreRight License v1.1 → Apache 2.0, Feb 2030

The Palette Problem

Void Architecture in AI Art Model Training

Opacity3/3███
Responsiveness3/3███
Coupling2/3██░
Void Index9/12Critical
Péclet NumberPe=5.2Phase III-IV

The Palette Problem: Void Architecture in AI Art Model Training

Paper 16B — AI Art · v1.0 · February 2026

Applies the Void Framework to AI art model training and creative industries. The unique compound void where labor extraction feeds the mechanism that displaces the labor. Artist consent opacity, model training opacity, and platform coupling as void architectures.

Platform Scores — AI Art / Creative Industries

Void index across 6 platforms, scored on the three-dimension framework (0–12).

Platform Score Void Load
Midjourney (mass scraping) 10/12
Stable Diffusion (no opt-out) 9/12
DALL-E 3 (limited consent) 7/12
Adobe Firefly (licensed) 4/12
Nightcafe (artist opt-in) 3/12
Human Commission (Constraint) 1/12

Read the Full Paper

Complete methodology, empirical data, falsifiable predictions, and kill conditions.

Full Paper on Zenodo All Papers Framework Overview

Paper 16B · v1.0 · February 2026 · MoreRight License v1.1 → Apache 2.0, Feb 2030 · 10.5281/zenodo.18718941