Abstract: This article deconstructs Ant Group’s Ling model through an end-to-end analysis of its core technology stack and frontier developments. The author delineates pivotal innovations across novel model architectures, web-scale high-fidelity pretraining, efficient alignment mechanisms for precise instruction following, and hardware-aware training/inference optimization. Collectively, these advancements enable Ling’s emergent general intelligence—demonstrating superior reasoning, coding, and mathematical capabilities with continuous self-evolution potential. The findings offer an actionable framework for building reliable and ethically aligned foundation models.