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The Wanxi Tianmu 2.0 large model by Wanxi Technology ranked fourth in China on the SuperCLUE global list, and was jointly recognized with Huawei's PanGu T2V, demonstrating its technological strength in the field of video generation. The company also established an AI video large model laboratory with Huawei Cloud, integrating resources to explore digital creative applications and promote the intelligent development of the industry. This collaboration marks an innovative breakthrough of AI technology in the field of video content, which is expected to enhance user experience and lead the industry direction.

The Aliyun Tongyi Lab open-sources the WebAgent intelligent agent project, which includes two core components: WebShaper and WebSailor. WebShaper addresses AI reasoning challenges using a formal-driven data synthesis method. The WebSailor-72B model surpasses most closed-source models in the BrowseComp evaluation. The project builds a complete ecosystem through the WebDancer training framework and WebWalker evaluation tool, supporting complex data crawling and analysis within 10 minutes. After open-sourcing,

Alibaba Cloud launched 'Wuying AgentBay' at WAIC, a cloud platform for AI agent development. It supports code execution, web browsing, and advanced features like vision/NLP, compatible with multiple OS. Developers can access with 3 lines of code, leveraging cloud computing power without local hardware. Offers sandbox, scalable resources, secure storage, and GPU support for efficient AI training.....

OWL team open-sourced Eigent, a multi-agent collaboration tool based on CAMEL and OWL frameworks. It enhances complex task efficiency via parallel sub-task processing, supports multiple LLMs and data integration, and promotes community development with modular design and standardized protocols.....

Kunlun open-sources Skywork UniPic, a 1.5B-parameter multimodal model integrating image understanding, generation, and editing. It unifies multimodal tasks with end-to-end pretraining, offering strong performance comparable to larger models.....

On July 30, Kunlun Infinite officially launched and open-sourced the autoregressive multi-modal unified pre-training model Skywork UniPic. The model integrates three core capabilities - image understanding, text-to-image generation, and image editing - in a single architecture. It demonstrates excellent generality and transferability through end-to-end pre-training on large-scale high-quality data.

Shenzhen Leju Robotics has secured a new round of funding, with its registered capital increased to 2.27 million yuan, and investors including Dongfang Jinggong. The company, established in 2016, has accumulated over tens of millions in financing. It has transitioned from educational robots to the industrial field. Its Aelos educational robot has been adopted by more than 4,000 schools. In 2023, it launched a humanoid robot based on open-source HarmonyOS, and collaborated with Huawei Cloud and China Mobile to develop 5G-A robots, enhancing application capabilities in industrial scenarios. The company plans to deliver 1,000 humanoid robots by 2025, addressing labor shortages in manufacturing and promoting intelligent production.

China Mobile launched the Jiutian foundational large model 3.0 at the 2025 World Artificial Intelligence Conference, achieving three major breakthroughs: 1) The Jiutian Zhongqing Language Large Model adopts a trillion-parameter MoE architecture, improving reasoning capabilities by 35%, and leading globally in evaluations such as GPQA; 2) The Jiutian Shanzhi Multimodal Large Model innovates spatiotemporal modeling technology, significantly enhancing image and video generation and understanding capabilities; 3) An open-source strategy is implemented, with specialized models and evaluation systems for mathematics, coding, and other areas released to promote industry ecosystem development. The model features high security and full domestication, demonstrating China's strength.

Shanghai AI Lab releases the open-source scientific multimodal large model Intern-S1, surpassing existing top models in scientific research fields such as chemistry and materials. The model has cross-modal scientific analysis capabilities, able to interpret complex data such as molecular formulas and protein structures, and also launches a dedicated scientific discovery platform called Intern-Discovery. Intern-S1 will promote the development of multi-agent disease research systems and continue to open-source to support scientific progress.

Zhipu launches the open-source large model GLM-4.5 series, available in two versions with 355 billion and 106 billion parameters, using a MoE architecture and following the MIT license. The model ranks second globally and first domestically in 12 benchmark tests, particularly excelling in tool calling and task completion. It supports complex tasks such as code generation and 3D interaction. API pricing is affordable (0.8 yuan per million tokens). Although the parameter count is only 1/2 to 1/3 of competitors, it achieves efficient performance through 15 trillion token pretraining.

Zhipu AI releases its next-generation flagship model, GLM-4.5, which achieves native integration of reasoning, coding, and agent capabilities. It uses a MoE architecture to provide high parameter efficiency. The model performs excellently across 12 authoritative evaluation benchmarks, achieving the third place globally and the first in domestic rankings. The model supports dual-mode operation, with training data reaching 2.3 trillion tokens, and offers competitive API pricing. GLM-4.5 is compatible with mainstream code frameworks, possessing full-stack development capabilities. It is now open-sourced on multiple platforms and provides an experience. Its technological breakthroughs and cost-effectiveness are expected to drive

Alibaba announced three open-source large models at the 2025 World Artificial Intelligence Conference. These include the Qwen full-size, multi-modal model, all of which have received the highest honors in the global open-source field. Alibaba demonstrated its full-stack AI capabilities and plans to invest 38 billion yuan over three years to build cloud and AI infrastructure. The Alibaba Cloud BaiLian platform has gathered 200,000 developers who have created over 700,000 intelligent Agents. These initiatives will promote the development of AI applications and strengthen Alibaba's leading position in the AI field.

Alibaba's WebSailor, an open-source AI agent framework, excels in BrowseComp-en/zh and SimpleQA tests. Features knowledge graph-based task generation and reinforcement learning with RFT/DUPO. Introduces data obfuscation for enhanced AI training.....

ByteDance officially launched its highly anticipated AI Agent development platform 'Coze', and announced that the platform is open-source and supports commercial applications. With its powerful features and user-friendly interface, the platform has quickly received over 6,000 stars on GitHub, becoming a new favorite in the developer community.

At the Tencent Forum of the 2025 World Artificial Intelligence Conference held on July 27, 2025, Tencent officially released the first version of the HuanYuan 3D World Model and announced that the model will be fully open-sourced. This move marks the birth of the industry's first open-source world generation model that supports immersive roaming, interaction, and simulation, opening up new possibilities for fields such as game development, virtual reality (VR), and digital content creation.

Zhiyuan Robotics announced the open-source plan for the Zhiyuan Lingqu OS, an embodied intelligence operating system, at the 2025 World Artificial Intelligence Conference. The humanoid robot Lingxi X2 demonstrated intelligent interaction capabilities through natural dialogue. The system adopts a layered open-source model, including underlying middleware, agent framework, and toolchain, with plans to launch in the fourth quarter. Zhiyuan Robotics has already achieved application in fields such as industrial logistics, and its Qiyuan general embodied large model won the SAIL Star Award. The company will continue to improve the operating system and promote the development of embodied intelligence industry.

NetEase Lingdong launched the world's first embodied intelligent model for excavators in open-pit mines, Lingju, at the World Artificial Intelligence Conference. This model adopts an end-to-end integrated design, breaking traditional development models and achieving three technological breakthroughs: innovative technical pathways, data-driven by real-world scenarios, and full domestication. In field tests in Inner Mongolia coal mines, its loading efficiency has reached 80% of human levels and it is adaptable to harsh environments. NetEase also announced the release of an open-source dataset and the initiation of the 2027 Industry Collaboration Plan, aiming to work with industry partners to promote the unmanned operation of over 30 mines. The core technology, the mechanical intelligence framework Zhixin, supports multiple functions.

Ant Group launches 'Treasure Box' AI platform for service industry digitalization, offering 70+ plugins and rapid deployment.....

Alibaba Cloud is about to release the upgraded video generation AI model Wan 2.2, achieving multiple breakthroughs based on Wan 2.1: 1) Performance improvements, supporting high-resolution 1080p/4K and long video generation; 2) New video-to-audio function, enhancing multimodal creation; 3) Optimized hardware requirements, capable of running on devices with 6GB VRAM; 4) Training data expanded to 1.5 billion videos + 10 billion images; 5) Continued open-source strategy, using the Apache 2.0 license. This model will solidify Alibaba's leading position in the field of AI video generation.