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The Douchou Gynecology Large Model, trained by Yisheng Jankang on the DingTalk AI platform, passed the national gynecology and obstetrics senior professional examination, becoming the first clinical-level medical AI developed by a start-up company in China. The model was trained in just over a month, achieving an accuracy rate of 90.2%, marking a breakthrough from prototype to professional application. The CTO of DingTalk stated that this verifies the platform's ability to support enterprises in building customized large models, providing a model for AI development in industries such as healthcare and education. The Douchou model will be initially applied in scenarios such as gynecological knowledge Q&A and clinical decision support, promoting the implementation of vertical field AI solutions.

Mistral AI released a large language model environmental assessment report, revealing challenges in the sustainable development of AI technology. The report shows that 85.5% of carbon emissions and 91% of water consumption are concentrated in the training and inference phases. 18 months of operation produced 20.4 tons of carbon dioxide and consumed 281,000 cubic meters of water. A single interaction of 400 tokens produces 1.14 grams of carbon emissions and 45 milliliters of water consumption. The company acknowledges the limitations of the study, such as hardware performance evaluation, but the data align with industry assessments. Mistral calls for increased industry transparency and commits to updates.

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.

Ant Group announced the financial reasoning large model Agentar-Fin-R1 at the World Conference on Artificial Intelligence. Built upon Alibaba's Tongyi Qianwen, the model focuses on the professionalism and security of the financial industry. It has shown excellent performance in evaluations such as FinEval1.0, offering 32B and 8B parameter versions. CEO Zhao Wenbiao pointed out that financial large models are key to the integration of AI and finance, and a corpus covering six major categories and 66 subcategories of financial scenarios has been built. The model is currently applied in a bank's AI mobile banking app, leading to a 25% increase in monthly active users.

Step Star releases the next generation Step 3 large model, which will be open-sourced on July 31st. This 321B parameter multi-modal reasoning model performs outstandingly in intelligence and reasoning efficiency, supporting cross-domain knowledge understanding and visual analysis. The company has established the Model Chip Ecosystem Innovation Alliance in cooperation with chip manufacturers and reached a strategic cooperation with Shanghai State Capital, promoting the application of large models. Step 3 achieves 300% reasoning efficiency of competing products on domestic chips, with over 70% improvement in throughput, and has established a 1+N model matrix covering multiple fields. The model has achieved SOTA on multiple rankings.

Waymo announced that it will launch an autonomous taxi service in Dallas next year, marking another key city deployment following Los Angeles and San Francisco. The company has formed a strategic partnership with Avis Budget Group, which will handle the charging and maintenance of the all-electric Jaguar I-Pace fleet. Waymo has completed preliminary testing in Dallas and plans to gradually expand its fleet to hundreds of vehicles. Currently, Waymo is operating commercially in five U.S. cities and plans to expand to Washington D.C. and Miami next year. This collaboration

China's Sinochem launches first domestic agricultural AI model, integrating vast farming knowledge to provide precise guidance. It optimizes the entire farming cycle, enabling smart decisions via mobile, boosting yields by 150-200 yuan/mu and cutting decision time by 75%.....

At the 2025 World Artificial Intelligence Conference, Wang Ai, Chief Product Officer of Honor, demonstrated the technical breakthroughs of the MagicGUI large model. This open-source large model enables the transformation of an intent-driven operating system, solves the challenges of cross-scenario adaptability, and builds an open AI terminal ecosystem. The technology can enhance the intelligence level of devices, achieve seamless user experiences, and support developers in innovating applications. Honor plans to promote the deep integration of AI with life, leading the development of intelligent lifestyles.

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 opensources the video generation model Tongyi Wanxiang Wan2.2, which includes three core models: text-to-video, image-to-video, and unified video generation. Innovations include: 1) the first MoE architecture in the industry, improving computational efficiency by 50%; 2) a cinematic aesthetic control system, enabling precise control over lighting, color, and other cinematic effects; 3) a 5B small-sized unified model that can be deployed on consumer-grade GPUs. This series of models has been open-sourced on platforms such as GitHub, with over 5 million downloads, significantly lowering the barrier to AI video generation.

Runway releases the revolutionary video editing model Aleph, which enables five core functions through natural language instructions: content addition/removal, environment transformation, style transfer, camera motion transfer, and green screen keying. This model breaks through by combining contextual understanding with visual generation technology, supporting the creation of multiple perspectives from a single video, significantly lowering the barrier to professional video production. The launch of Aleph will accelerate the popularization of AI in fields such as film and advertising. Future improvements will focus on performance optimization and the expansion of new features like real-time collaboration, providing creators with more powerful tools.

Tencent launches the world's first open-source 3D world generation model, Hunyuan 3D 1.0, supporting 360° high-precision scene generation and interactive exploration. This model significantly lowers the barrier to 3D creation through AI technology, enabling immersive scenes to be generated quickly from a single image or text. It offers 20 free experiences per day. Its open-source nature empowers developers worldwide and is applicable to multiple fields such as gaming, VR, and film. The project has over 12,000 stars on GitHub. This technology advances 3D generation from object-level to world-level, redefining content production processes. It has the potential to drive innovations in gaming and digital worlds in the future.

SenseTime announced the DayDayNew V6.5 large model and the Mynie Embodied Intelligence Platform at the WAIC conference. The new large model significantly improves multimodal performance and reasoning capabilities, reducing computational costs. The Mynie platform demonstrated intelligent robot applications, with on-site showcases of lecture robots that can automatically turn pages and interact in Q&A sessions. CEO Xu Li emphasized that these technologies will promote the deep integration of AI into daily life, helping SenseTime maintain competitiveness in the global AI field. The launch highlighted SenseTime's innovative breakthroughs in areas such as intelligent driving and robotics.

Ant Group's Agentar-Fin-R1, built on Qwen3, outperforms peers in financial evaluations. Offers enhanced finance expertise, reasoning, and compliance with 32B/8B/MOE models. Launched Finova benchmark, now serving banks with improved AI solutions.....

Recently, Tmall Elf officially announced the launch of the new Wow AI Sister Machine Smart Version. This new product features a large AI screen, offering excellent audio and visual experience and smart functions. Upon its release, it immediately attracted the attention of many consumers, and now it is available for reservation across all channels. The Wow AI Sister Machine Smart Version offers users three versions to choose from, meeting different needs. The 6+128GB version has a promotional price of 3,699 yuan, the 6+256GB version is priced at 3,999 yuan, and the long-lasting battery version is 4,399 yuan.

China has taken a leading position in the global artificial intelligence field, contributing 1,509 large models (40% of the global total of 3,755). The popularity of generative AI applications has reached 80.9%, and the industry scale is expected to exceed 700 billion yuan by 2024, maintaining a growth rate of over 20%. Domestic AI products are deeply applied in areas such as office, education, and industry, and are accelerating overseas expansion, such as DeepSeek, which reached 30 million users within 20 days of its launch. China accounts for 60% of global AI patents, demonstrating strong innovation capabilities, with a promising future development outlook.

JD upgraded its AI model brand to JoyAI and launched JoyInside at WAIC 2025. JoyAI offers 3B-750B models for multimodal use, boosting efficiency by 30% and cutting costs by 70%. Partners like ZQ and SenseTime apply it in robotics and toys. JD advances AI innovation and ecosystem.....

At the 2025 World Artificial Intelligence Conference, Banma Zhihang partnered with Tongyi and Qualcomm to launch a terminal-side multimodal large model solution called Yuanshen AI. Based on the Qualcomm 8397 platform, it achieves a 90% perception-decision-execution loop in intelligent cockpits. The solution offers offline fast response and privacy protection advantages, enabling features such as automatic air conditioning adjustment and music recommendations. It has already been implemented in cooperation with automakers like Zhiyi and Rongwei, promoting the development of automotive intelligence.