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Jun Zhou. Ling Model: Reverse-Engineering Paths to Artificial General Intelligence[J]. Computing Magazine of the CCF, 2026, 2(2): 44−50. DOI: 10.11991/cccf.202602008
Citation: Jun Zhou. Ling Model: Reverse-Engineering Paths to Artificial General Intelligence[J]. Computing Magazine of the CCF, 2026, 2(2): 44−50. DOI: 10.11991/cccf.202602008

Ling Model: Reverse-Engineering Paths to Artificial General Intelligence

  • 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.
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