Technology is the core driver of Ant's future creation.
SGLang-Jax is a cutting‑edge, fully Jax‑based open‑source inference engine that delivers native TPU performance, integrates advanced features like continuous batching, tensor and expert parallelism, and speculative decoding, while providing detailed installation and usage guidance for developers.
The IEEE 3169‑2025 standard, led by Ant Group, introduces a unified five‑level security grading framework for privacy‑preserving computation across technologies like MPC, federated learning and TEEs, detailing attack‑defense effectiveness, information leakage categories, and additional metrics to guide secure data‑flow implementations.
At the Ant Star Innovation Journey event, the Baoling team unveiled their roadmap for trillion‑parameter models, detailing the development of Ling‑1T, Ring‑1T and multimodal Ming series, the scaling‑law‑guided architecture, training innovations, evaluation methods, and open‑source releases that aim to advance efficient, high‑performance AI.
Introducing Ming‑Flash‑Omni‑Preview, a 103‑billion‑parameter open‑source multimodal model built on a sparse MoE architecture that delivers state‑of‑the‑art performance in controllable image generation, streaming video understanding, and context‑aware speech recognition, surpassing prior models on GenEval and GEdit benchmarks.
The OceanBase team’s LCL+ algorithm, a lock‑chain‑length based distributed deadlock detection and elimination method, eliminates the need for a global wait‑for graph, achieves single‑victim unlocks, and dramatically improves throughput while reducing tail latency in production database clusters.
This article analyzes a recurring crash in Android mini‑programs caused by a canvas synchronization issue in hybrid composition, detailing the stack traces, EGL surface creation failures, cross‑process SurfaceTexture lifecycle problems, and the concrete fix that dramatically reduced “no surface” crashes.
Leveraging a proprietary “large model + optimization” approach, Alibaba’s Ant Group and East China Normal University built a constraint-aware multi-agent framework that secured first place in the Original OS track and second in the DSL track of the IJCAI-2025 Autonomous Travel Planning Competition.
Alipay’s trusted deep defense architecture, built on security parallel slices and trusted computing, was selected as a flagship case for the 2025 Important Industry Security Protection list, demonstrating zero‑false‑positive, zero‑miss, and zero‑business‑disruption protection against advanced threats such as 0‑day and APT attacks during high‑traffic events like Double 11.
The Ring-1T model, a trillion-parameter AI system released as open source, leverages advanced reinforcement learning techniques, extensive benchmark evaluations, and custom training frameworks to deliver balanced performance across math, code, reasoning, and creative tasks while highlighting current limitations and future development plans.
Ant Group's open‑source dInfer framework dramatically speeds up diffusion language model inference—achieving more than a ten‑fold boost over Fast‑dLLM, surpassing autoregressive baselines, and delivering 1011 tokens per second on HumanEval—by tackling computational cost, KV‑cache invalidation, and parallel decoding challenges through modular system‑level innovations.
