Operation SOTA drops custom license for GPLv3

This is less a feature drop than an adoption unlock: the biggest update here is legal and social, not technical, because GPLv3 makes the project much easier for other developers to inspect, fork, and extend.

• –The umbrella project spans unusually broad AI infrastructure for a solo release: RLHF training, neural routing, cross-chat memory, token forensics, and quantized Qwen derivatives.
• –GitHub pages for Reinforcement-Learning-Full-Pipeline and SOTA-Runtime-Core now explicitly show GPL-3.0 licensing and recent release notes about retiring the prior custom license.
• –For AI developers, the real value is license clarity around reusable local-first building blocks that were previously harder to touch because of restrictive governance.
• –The caveat is that open-sourcing does not automatically make the stack mature or low-risk; developers will still want to review code quality, provenance, and upstream model or dataset license boundaries before production use.