An experiment to partially measure semantic and image drift through repeated AI generation and summary cycles.
Ship-shape runs multi-round pipelines where AI models repeatedly transform content — writing essays then summarizing them, or captioning images then regenerating them — and measures how meaning and visual fidelity drift at each step.