Your point that synthetic data generated through rephrasing can function as derivative expression sharpens the stakes of AI training debates. It highlights how generative systems don’t escape IP constraints — they expand the permission surface and increase checkpoint density, which is exactly the clearance architecture I explore in Intellectual Property and the Architecture of Exclusion:
Your point that synthetic data generated through rephrasing can function as derivative expression sharpens the stakes of AI training debates. It highlights how generative systems don’t escape IP constraints — they expand the permission surface and increase checkpoint density, which is exactly the clearance architecture I explore in Intellectual Property and the Architecture of Exclusion:
https://korova.substack.com/p/intellectual-property-and-the-architecture