Protecting Open Source from AI: The Case for AGPL Pro Max

As Large Language Models become increasingly valuable, a critical gap emerges in open-source licensing: traditional copyleft licenses like AGPL don't restrict model training, allowing AI companies to extract value from community code without reciprocal contribution. This legal blind spot threatens the sustainability of open-source projects in the AI era, making new licensing frameworks essential to ensure that advances built on open code remain accessible to all. The AGPL Pro Max proposal reflects a broader reckoning about how copyleft principles must evolve alongside modern AI development.