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According to Rest of World, Alibaba launched the open-source model platform ModelScope in 2022, and OSChina launched MoArk in 2023, providing model hosting, testing, and customization services for Chinese developers behind firewalls. In 2023, Chinese regulators blocked Hugging Face without disclosing specific reasons; reports indicate that the government simultaneously allowed artificial intelligence laboratories to bypass the blockade to share Chinese models globally. ModelScope currently hosts over 170,000 models and stated in March that it has 170,000 models and 250 million users; MoArk hosts about 20,000 commonly used models, both still below Hugging Face, which hosts over 3 million open models.OSChina CEO Xu Yong stated that not everyone can always use a VPN, and China needs to establish an independent artificial intelligence ecosystem that serves Chinese users, claiming that China is developing an independent ecosystem faster than during the internet era. He also mentioned that MoArk has deployed engineering teams to ensure that models can run on different types of Chinese chips, making it their mission to ensure mainstream open models are compatible with Chinese chips. Both platforms offer some services for free, with additional computing power and premium features charged; ModelScope also hosts university hackathons and has opened co-working and event spaces for AI entrepreneurs in Hangzhou.Headquartered in New York, Hugging Face is a major platform for sharing open models and datasets. In September, Nvidia announced its acquisition of the company for $12.9 billion and noted in regulatory filings that regulators might prohibit sharing Chinese models on the site.

Reuters quoted The Information's report stating that the Chinese government has signaled that it may allow some domestic companies, such as ByteDance and Alibaba, to purchase chips from Nvidia designed for high-end professional computers. The Information cited two informed sources saying that the Ministry of Industry and Information Technology recently requested companies, including ByteDance and Alibaba, to report their plans to purchase Nvidia RTX PRO 5500 chips and informed some companies that the government intends to approve these purchases.Some industry executives expect that the RTX PRO 5500 could bypass U.S. export restrictions. Reuters stated that it could not immediately verify the above report. A spokesperson for Nvidia responded that U.S. companies are still subject to outdated U.S. export controls as well as China's import restrictions on the U.S., with the relevant export controls covering gaming products released nearly five years ago. Alibaba and ByteDance did not immediately respond to requests for comment, and Reuters was also unable to reach the Chinese government for comment.

Alibaba is accelerating the expansion of its data centers in Europe and the Middle East, driving its 20 gigawatt global infrastructure development.Alibaba will establish its first cloud regions in Turkey, Finland, and the Netherlands within the next 12 months, and expand its data center layout in Malaysia, Germany, the United Arab Emirates, France, and Hong Kong.

Citigroup analysts stated that Alibaba is expected to further benefit from the development of its artificial intelligence business. CEO Wu Yongming proposed a goal of achieving 20 gigawatts of AI infrastructure by fiscal year 2033, which could drive external cloud business revenue to $160 billion, higher than Citigroup's forecast of $100 billion for fiscal year 2031. Citigroup maintains a "Buy" rating with a target price of HKD 189.

According to LatePost, the Alibaba Cloud Shadow team is developing an AI device called QwenBook, positioned as a native intelligent agent computer, resembling the Qianwen tablet. The project started in April this year, with a team of about 150 people, integrating models including Qwen3.8-Max and Qwen3.8-Flash. The complete product is expected to be released by the end of this year or early next year.The report states that QwenBook is similar in concept to the Doubao phone, both attempting to push the model to the system's core. After the launch of the first generation Doubao phone, WeChat, Taobao, Meituan, Pinduoduo, and others successively prohibited it from replacing user operations through screen reading and simulated clicks. The Nubia NaviX Ultra, which went on sale on September 16, retains the GUI approach, attempting to allow applications to open services to the Agent through MCP, A2A, or dedicated interfaces.

Alibaba CEO Wu Yongming stated at the Yunqi Conference that the current demand for AI from customers is strong, and the company will fully invest in AI infrastructure construction, aiming for the scale of global data centers operated by Alibaba Cloud to exceed 20GW by 2032. Meanwhile, Pingtouge released the strongest domestic AI chip Zhenwu V900, with computing power increased to three times that of Zhenwu M890, and the annual shipment volume is expected to increase significantly.

Market news reports that Alibaba plans to train an artificial intelligence model with parameters ranging from 50 trillion to 100 trillion.

Alibaba has appointed Liu Dayiheng as the head of the Qwen large language model. The official website of the Yunqi Conference has also updated his title to "Head of the Qwen LLM Project."Liu Dayiheng joined Alibaba in 2021 and has since been a core member of the Qwen research and development team. In March of this year, Qwen's technical head Lin Junyang left to start his own business; in June, Zhou Jingren, who was responsible for AI model development, stepped down from related management positions and transitioned to Alibaba's Chief Scientist. After a series of adjustments within six months, the head of the Qwen large language model line is now officially confirmed.Liu Dayiheng has also been placed in a core position at this year's Yunqi Conference. On the conference's official website, he ranks after Alibaba Chairman Cai Chongxin and CEO Wu Yongming among the speakers, and he will deliver a speech titled "Qwen: Moving Towards Real-World Intelligent Agents" at the main forum.

According to the official announcement, the Chinese Meme project Niuma has launched on the BNB Chain through Flap, with tokenized stocks as trading pairs, and is paired with the BABA tokenized asset. Currently, it has a market capitalization of 2.19 million USD, with 7,091 holding addresses and a 24-hour trading volume of 7.26 million USD.The project starts from the common identity of "Niuma," connecting workers, entrepreneurs, and on-chain participants, allowing shared experiences to become community consensus. The token paired with stock has a 1% transaction tax, which is used to purchase BABA bStock as a holding reward.

Market news indicates that Alibaba (BABA.N) is reportedly leading an investment in the artificial intelligence startup UniPat, which is valued at 2.5 billion dollars.

The IDC report "China Retail Cloud Market Share, 2025" shows that Alibaba Cloud ranks first with a market share of 30.4%. Infrastructure is the largest component of the retail cloud market, with Alibaba Cloud maintaining the top position with a 37.5% share.Alibaba Cloud provides a comprehensive AI technology system covering "Chip---Cloud---Model---Application" to retail enterprises, offering products and services that include infrastructure, data platforms, large models, and industry applications. The integration of AI technology with retail business processes covers scenarios such as smart marketing, intelligent shopping guides, smart customer service, user insights, product operations, and supply chain management.Adidas has created a dedicated AI product design platform based on Alibaba Cloud's artificial intelligence platform PAI and the Qianwen large model. Anta, in collaboration with Alibaba Cloud, has developed the "AI Planning" intelligent agent platform based on the Lingyang AgentOne and the Qianwen large model. Coach, L'Oréal, LAWSON, China Duty Free Group, and Xiaopei Pets have also accessed related capabilities for intelligent upgrades.

According to LatePost, the general robotics company Sharpa has completed over 4.5 billion yuan in financing, with investors including Alibaba, Meituan, Tencent, JD.com, and other industrial capital, as well as Sequoia China, Qiming Venture Partners, and Meituan Longzhu. The post-investment valuation is 22 billion yuan. This is the first time Sharpa has publicly disclosed its financing since its establishment.Sharpa was founded at the end of 2024 by He Sai Technology CEO Li Yifan, CTO Xiang Shaoqing, and Chief Scientist Sun Kai, focusing on developing general-purpose robots and components that specialize in dexterous operations. Co-founder Li Yifan stated that Sharpa's logic is to first "navigate" several real-world scenarios, accumulating generalized capabilities and real data on the "track," gradually entering households starting in 2028; real scenarios must meet three conditions: the environment is not specially modified for robots, operations are fully autonomous by robots, and complex tasks involving multiple steps are completed.

According to Jinshi, Alibaba Cloud announced that the billing unit price for the Qwen3.8-Flash model mode on the Bailian large model service platform will be adjusted downwards starting from 12:00:00 Beijing time on August 27, 2026. Qwen3.8-Flash is the latest multimodal large model launched by Qianwen, natively supporting a million-level context window, capable of processing ultra-long documents, code repositories, and complex dialogues in one go. It performs outstandingly in scenarios such as programming assistance, intelligent agent collaboration, and image-text understanding, and is compatible with OpenAI and Anthropic interface protocols, making it suitable for building high-concurrency applications and intelligent workflows.The specifics are as follows: the input price before adjustment was 1 yuan, and after adjustment it will be 0.8 yuan; the output price before adjustment was 3 yuan, and after adjustment it will be 2.7 yuan.

Alibaba Group announced the completion of a new share placement of HKD 80 billion, issuing 710 million new ordinary shares to non-U.S. persons outside the United States, with a placement price of HKD 112.7 per share. Alibaba plans to use the net proceeds from the placement entirely to strengthen its global AI layout.Approximately 60%, or HKD 47.871 billion, will be used to expand global computing infrastructure to meet the growing customer demand; the remaining approximately 40%, or HKD 31.914 billion, will be used to accelerate the construction of large-scale AI data centers.The related funds will also be used to upgrade traditional cloud infrastructure such as storage, databases, and high-performance networks, supporting Alibaba's full transition to an Agentic Cloud architecture. The shares offered in this placement are not registered under the U.S. Securities Act of 1933 and are being offered and sold outside the United States to certain non-U.S. persons in reliance on Regulation S.

The Alibaba Qwen team will release Qwen 3.8-Flash-Next on Wednesday, which is a mixture of experts (MoE) model with a total of 125 billion parameters, but only 6 billion parameters are activated for each token. The team positions it as a preview version of the next-generation Qwen 4 architecture, rather than the final flagship model.The model is described as multimodal and is built on the upcoming Qwen 4 architecture. The team stated that the early release of this version is to prepare developers for the subsequent complete Qwen series. The model weights will be hosted on the Hugging Face and ModelScope platforms.As of now, Qwen has not disclosed the benchmark results for this model, nor has it released comparative data with its own Qwen 3 series or overseas competitors. The specific figures of 125 billion and 6 billion parameters have not been officially confirmed. As an open-weight model, developers can download, fine-tune, and run it for free without sending data to a closed API, which helps reduce the cost of hosting the model.

Iran's Deputy Foreign Minister Gharibabadi stated that no warships are allowed to pass through the Strait of Hormuz.

According to sources, as Alibaba initiated a placement financing, Alibaba founder Jack Ma has been increasing his holdings in Alibaba's Hong Kong stocks for several consecutive days, with a total exceeding 600 million Hong Kong dollars.The related increase in holdings is said to express a strong optimism about Alibaba's AI prospects.

On August 25, according to Hong Kong Stock Exchange documents, Alibaba Group Chairman Cai Chongxin purchased another 720,000 shares of Alibaba on Tuesday, costing 82 million Hong Kong dollars, following his initial purchase of 720,000 shares.After Alibaba announced a new share placement plan of 80 billion Hong Kong dollars, Group Chairman Cai Chongxin and CEO Wu Yongming increased their holdings by a total of approximately 120 million Hong Kong dollars in Alibaba shares. Among them, CEO Wu Yongming bought 350,000 shares of Alibaba's Hong Kong stock at an average price of about 111.6 Hong Kong dollars, costing approximately 40 million Hong Kong dollars. Together, the two increased their holdings by 1.07 million shares, totaling about 120 million Hong Kong dollars.The proceeds from Alibaba's 80 billion Hong Kong dollar new share placement will be fully invested in full-stack AI capabilities and AI infrastructure construction. The placement received active subscriptions from long-term investors such as global sovereign wealth funds, ultimately achieving nearly 3 times oversubscription.

According to Business Insider, Thomson Reuters launched its first self-developed AI model, Thomson-1, on Monday. This model is based on Snowdon and constructed through "re-alignment" of Alibaba's open-source Qwen model. Open-source means anyone can download and modify the model for free. Thomson-1 will take over some tasks previously handled by Anthropic's Claude, but it is not intended to completely replace collaboration with Anthropic and other labs, initially focusing on the company's areas of expertise, starting with document review.This move aims to address the high AI costs brought by models like Claude and OpenAI Codex, and reflects the use of cheaper Chinese open-source AI. CTO Joel Hron stated that the main reason is to better leverage Thomson Reuters' own expertise and control costs. The company expanded its collaboration with Anthropic in May this year for the AI legal assistant CoCounsel, which still primarily relies on Claude. Hron said, "Our main goal is to gradually make Thomson the model that drives more and more capabilities for CoCounsel."Thomson Reuters, in collaboration with a team from Imperial College London, spent months transforming Qwen to build Snowdon and ensured it is "ethically and politically bias-processed and safe to use." Hron pointed out that having a proprietary model allows for development based on its own intellectual property rather than continuously paying external AI companies, comparing it to renting versus buying a house: renting provides shelter but does not accumulate long-term equity.