

This issue reminded me of the following:
These conditions are ripe for “copyright laundering”-the use of multi-generational synthetic pipelines, an “AI Ouroboros,” to render traditional proof of infringement impracticable.
This Article adapts the “fruit of the poisonous tree” (FOPT) principle to propose a novel AI FOPT standard: if a foundational AI model’s training is adjudged infringing (either for unlawful sourcing or for non-transformative ingestion that fails fair-use), then subsequent AI models principally derived from the foundational model’s outputs or distilled weights carry a rebuttable presumption of taint.
The burden then shifts to the downstream developers-those who control the evidence of provenance-to restore the evidentiary bargain by affirmatively demonstrating a verifiably independent and lawfully sourced lineage or a curative rebuild, without displacing fair-use analysis at the initial ingestion stage. Absent such proof, commercial deployment of tainted models and their outputs is actionable.
Source: https://arxiv.org/pdf/2601.02631 (Copyright Laundering Through the AI Ouroboros…)


✨📜 Hurray! Hurray! Hurray! 📜✨
There are numerous… tales, scrolls, prose, and legends
Shelves of stories, space of songs for every heart and wisdom
Where every world of atoms of each letter carved in time
Has a Universe to share with you, your friends, the Hero
~ /\