Ring-Zero scales zero RL to 1T parameters for emergent reasoning

Researchers present Ring-Zero, a stable training pipeline that scales reinforcement learning with verifiable rewards to models with one trillion parameters, addressing issues like token redundancy and poor readability found in naive scaling.