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Volc Engine announced that the daily tokens usage of Doubao Large Model exceeded 1.6 trillion, growing 137 times from last year, with a market share of 46.4%. At the launch event, new products such as Image Editing 3.0 and Simultaneous Interpretation 2.0 were introduced, and the large model was upgraded to version 1.6. President Tan Dai pointed out that AI is shifting from a tool to an intelligent agent, which will significantly change ways of living and working. IDC predicts that the public cloud large model usage in China will reach 114.2 trillion tokens in 2024. Volc Engine expects revenue to exceed 12 billion yuan in 2024. New products...

China's AI applications grow rapidly, with over 3.1B personal user registrations. In 2023, 3,755 global AI models emerged, 40% from China. By March, 346 AI services completed registration, with 80.9% usage in June. Industry scale is projected to exceed ¥700B in 2024, growing over 20% annually.....

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.

Ollama launches a desktop client, bidding farewell to the single command-line mode, supporting macOS system. The new version offers a graphical interface, multimodal recognition, and document drag-and-drop features, simplifying the model management process, and supporting local large language models such as Llama3. The client strengthens the advantages of local operation, ensures data privacy, and optimizes performance. The open-source community actively expands the ecosystem, with future plans to release cross-platform versions. This upgrade makes local AI tools more user-friendly, providing developers and general users with more diverse application scenarios.

Tencent's X-Omni AI model integrates reinforcement learning to unify image generation and understanding, outperforming rivals in text rendering and visual tasks without classifier guidance.....

The Qwen3-30B-A3B model has undergone a major update, launching the new version Qwen3-30B-A3B-Thinking-2507. This new version has achieved significant improvements in reasoning capabilities, general abilities, and context length, marking that the model is not only lighter but also has stronger thinking capabilities. Compared to the Qwen3-30-A3B model open-sourced on April 29, the new model has made progress in multiple key areas. In terms of mathematical abilities, Qwen3-30B-A3B-Thin

AMD Ryzen AI Max+395 upgrades to support 128B-parameter local AI models, requiring 128GB RAM (96GB VRAM). Runs 109B-parameter models like Meta Llama4Sout at 15 tokens/sec with 256K context length. MoE architecture enables efficient processing. 128GB AI workstations now priced at ~$1,800.....

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.....

Volcano Ark launches SeedEdit3.0, an AI image editor featuring voice-controlled editing. Based on Seedream3.0, it handles 10MP images with precise detail adjustments while preserving backgrounds. Excels in natural language understanding for complex edits like text replacement and day-night conversion. Applications include design, e-commerce, watermark removal, photo restoration, and style transfer, lowering editing barriers.....

Kunlun Wildfire releases the open-source multimodal pre-training model Skywork UniPic, integrating three functions: image understanding, text-to-image generation, and image editing. The model uses an autoregressive training approach, trained on large-scale high-quality data, and has strong generalization and transfer capabilities. Its open-source nature facilitates secondary innovation by developers and can be widely applied in content creation and industry scenarios. This is a significant move by Kunlun Wildfire in the AI field, which will promote the development and popularization of multimodal technology.

Li Auto launches i8, a 6-seat electric SUV with Pro/Max/Ultra variants (¥321,800-369,800), delivering Aug 20. Features: dual-motor AWD, 5C battery (670-720km range), LiDAR, VLA AI system, 9 airbags. Offers 3 interior colors, 20-inch wheels, ¥10k discount.....

Alibaba's Qwen team released Qwen3-30B-A3B-Instruct-2507, a 3B-parameter model rivaling Gemini2.5-Flash and GPT-4o. It excels in multilingual tasks, long-context processing, and benchmarks, with some metrics surpassing GPT-4o. Now available on ModelScope and HuggingFace.....

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.

CAS-SIAT's HYPIR model restores 8K images in 1.7s with advanced text reconstruction, outperforming traditional methods through optimized algorithms. Applied in photo restoration and heritage conservation.....

Shenzhen Institute develops HYPIR model, restoring old photos to 8K in 1.7s with AI, advancing image processing for heritage and film restoration.....

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.