Inside Ring-1T: Ant engineers solve reinforcement learning bottlenecks at trillion scale

Ant Group has unveiled Ring-1T, a groundbreaking open-source reasoning model boasting one trillion parameters, making it the first of its kind in terms of scale and transparency. Designed to excel in mathematical, logical, and scientific problem-solving, Ring-1T leverages a similar architecture to Ling 2.0 and supports up to 128,000 tokens, enabling advanced natural language reasoning capabilities. The development of this model involved pioneering new reinforcement learning (RL) techniques, including innovations like IcePop, C3PO++, and ASystem, which address the significant computational challenges associated with training such a large