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Tencent WorkBuddy Open Platform goes live with more than 100 partners. 2026-09-02 20:03:53 Key takeaways. * Tencent launched WorkBuddy Open Platform on September 2, 2026, with over 100 ecosystem partners and 9 co-branded hardware devices. * WorkBuddy platform integrates over 30 industry applications and connects 30+ brands across finance, law, healthcare, education, and public welfare. * Developer platform provides Skills, Experts, and Connectors functions supporting MCP and CLI protocols with payment channels under construction. Tencent launched the WorkBuddy Open Platform on September 2, introducing more than 100 ecosystem partners and releasing 9 co-branded hardware devices, while simultaneously opening its underlying affiliate functionality to smart hardware, industry applications, and Developers. Tencent said this is China's first AI affiliate ecosystem covering all three layers - smart hardware, industry applications, and Developers - and that it also marks the first public disclosure of WorkBuddy's ecosystem strategy since its launch in March. WorkBuddy Open Platform launches: China's first three-layer AI affiliate ecosystem. Tencent officially launched the WorkBuddy Open Platform at open.WorkBuddy.cn on September 2, 2026, marking the first public disclosure of WorkBuddy's ecosystem strategy since its launch in March 2026. Tencent said the platform is China's first AI affiliate ecosystem to simultaneously cover smart hardware, industry applications, and Developers. Centered on five major interaction touchpoints - listening, viewing, memory, chat, and collaboration - the platform connects more than ten device categories and over 30 brands, allowing running shoes, glasses, voice recorders, microphones, computers, tablets, and wearable devices to share the same account and enabling tasks, memories, and outputs to flow seamlessly across devices. Manufacturers do not need to develop AI themselves or change their product forms. 9 co-branded hardware devices and more than 30 industry applications. At the WorkBuddy Open Platform launch event, Tencent jointly released 9 co-branded hardware devices with the following partners: · Insta360 · Hollyland · Jingzao (a JD brand) Beyond its hardware partnerships, the platform integrates applications covering more than 30 industries, including finance, legal services, healthcare, education, and public welfare. More than 100 partners have now joined from fields such as finance, SaaS, education, and healthcare. "Partner App" Portal. WorkBuddy launched the "Partner App" portal, where partners can use the WorkBuddy affiliate library to build branded AI workstations for specific industries. Partners provide the scenarios, business context, tools, and trademarks without needing to develop AI themselves. Taking "Public Welfare Partner" as an example, it integrates data from Tencent's charity platform, building 11 scenario capsules and 42 functions supported by 15 affiliates, covering scenarios such as grant applications, bill processing, due diligence, and interpretation of charity laws. Certified organizations can receive 5,000 WorkBuddy points per month in 2026. Developer Platform: three core functions - Skills, Experts, and Connectors. The WorkBuddy Developer Platform provides three core functions through standard protocols: Skills, Experts, and Connectors. Connectors support both MCP and CLI protocols. More than 100 partners have now joined from fields such as finance, SaaS, education, and healthcare. Payment and distribution channels are under construction, with the ultimate goal of increasing developers' Skills Returns and creating more value for users. Faq. When did the WorkBuddy Open Platform officially launch, and what is its website? The WorkBuddy Open Platform officially launched at open.WorkBuddy.cn on September 2, 2026, marking the first public disclosure of WorkBuddy's ecosystem strategy since its launch in March 2026. How does the Tencent executive position the WorkBuddy Open Platform? Liu Yi, vice president of Tencent Cloud and head of WorkBuddy and CodeBuddy, said the goal is to build "the operating system of the affiliate era - not a more powerful tool, but a platform that carries all tools." He emphasized that "true productivity does not depend on how powerful a single tool is, but on how many functions it can connect and how many scenarios it can enter." Which protocols does the WorkBuddy Developer Platform support? The Developer Platform provides three core functions through standard protocols: Skills, Experts, and Connectors. Connectors support both MCP and CLI protocols, while payment and distribution channels are still under construction. Disclaimer: The information on this page may come from third-party sources and is for reference only. It does not represent the views or opinions of Gate and does not constitute any financial, investment, or legal advice. Virtual asset trading involves high risk. Please do not rely solely on the information on this page when making decisions. For details, see the Disclaimer.

Tencent claims its new model outshines Moonshot and Z.AI. What that means for TCEHY stock here. Pathikrit Bose Chinese diversified technology conglomerate Tencent (TCEHY) recently reported that its new artificial intelligence (AI) model performs better than models belonging to relatively newer labs like Z.AI and Moonshot. While Z.AI is known for its General Language Model (GLM), Moonshot's Kimi models have grabbed headlines following the release of its flagship K3 model. Now, Tencent claims its Hy4 Preview has reportedly outperformed the models of these newer AI upstarts. Primarily aimed toward coding, game development, and scientific research, the model works on 770 billion parameters, has 49 billion active parameters per token, and a token context window exceeding 1 million. More news from barchart. About Tencent stock. A comparison of these models across some key parameters is warranted, but before doing that we should take a look at Tencent's scale of operations. Founded in 1998, Tencent is currently one of the world's most diversified internet platforms. Over the years, the company has evolved into a social network, a gaming powerhouse, an advertising platform, a fintech and payments firm, a cloud company, an AI developer, and an investment holding company. With a total market capitalization of $510.5 billion, TCEHY stock is down 27% on a year-to-date (YTD) basis. The ADR also has a dividend yield of 1.06%. A look at Hy4, Kimi K3, and GLM 5.2. So, how does Tencent's new model fare against both Z.AI and Moonshot's flagship models? In terms of parameters, Hy4 seems to sit right in the middle, with Kimi K3 appearing to be ahead of the others. While the Kimi K3 runs on 2.8 trillion parameters, Z.AI's GLM 5.2 works on just 744 billion, lower even than Tencent's Hy4. In terms of active parameters, Kimi K3 is also ahead at 104 billion per token, compared to Hy4's 49 billion and GLM 5.2's 40 billion. In terms of reasoning and coding, the picture is a bit more unclear, as Hy4's test was internal and could be biased. However, for Kimi K3 and GLM 5.2, the difference is minimal, with Kimi K3 slightly ahead. Notably, Kimi K3 has a GQPA Diamond score of 93.5 on Hugging Face, while GLM 5.2's score stands at 91.2.

Maniformer's 20,000th MEgo device rolls off production line and is delivered to JD.com. Edited by Yara From Gasgoo | September 2, 2026 12:15 BJT Gasgoo Munich- Maniformer's 20,000th MEgo disembodied data collection device officially rolled off the production line on August 31 - marking the industry's first instance of mass production for such equipment. Simultaneously, Maniformer announced it has generated over 1 million hours of high-quality disembodied data, becoming the first data provider in the industry to offer a million-hour dataset available for commercial sale. At the ceremony, Maniformer Chairman and CEO Yao Maoqing handed over the 20,000th MEgo unit to JD.com. The device is set to enter real-world operational scenarios immediately. Separately, Maniformer announced a partnership with Tencent's Robotics X Lab to provide data support for the development of Tencent's embodied models. Maniformer's MEgo device introduces an industry-first multi-view, multi-modal approach. With a panoramic view exceeding 300 degrees and wrist close-ups, the system ensures robots see both the big picture and fine details like fingertips. Spatially, 3D tactile sensing paired with millimeter-level trajectory reconstruction allows every grasp to be precisely replicated. Temporally, hardware-level synchronization across all channels and sub-millisecond alignment perfectly sync vision, touch, and posture, eliminating "spatiotemporal misalignment." The MEgo also features a wireless, lightweight design, allowing it to follow humans into every corner of the real world. Image Source: Maniformer The 1 million hours of disembodied data accumulated by Maniformer includes multi-modal information such as RGB, Depth, IMU, tactile, and audio data. This forms a scaled data supply covering real-world scenarios, actions, and interactions. Regarding data collection formats, Maniformer has established three data systems: Ego Bare Hand, Ego+Wrist, and Ego+UMI Gripper. These correspond to natural human operation, wrist posture and continuous motion trajectories, and robot end-effector execution, respectively. Specifically, Ego Bare Hand data totals approximately 500,000 hours, Ego+Wrist around 350,000 hours, and Ego+UMI Gripper about 150,000 hours. All data is sourced from real-world open environments, covering 22 major scenario categories, over 10,000 real environments, more than 50,000 object types, and over 500 specific tasks. It spans eight high-frequency scenarios - including residential, office, retail, manufacturing, warehousing, dining, entertainment, and transportation - and extends further into long-tail scenarios such as public services, logistics, healthcare, education, elderly care, cultural tourism, automotive services, and agricultural production. Image Source: Maniformer The eight top-tier scenarios contribute approximately 82% of the data, forming the core foundation for general physical AI capabilities. The remaining 14 long-tail scenarios further expand data coverage across vertical industries. Behind Maniformer's million-hour dataset lies a full-link technology system supporting the continuous production of real-world data. To accurately reconstruct human hand movements and capture full-body posture, Maniformer built the MEgo Engine data processing infrastructure. Covering data processing, perception, annotation, and quality assessment, it uses high-precision pose reconstruction and motion mapping to convert real-world information on hands, bodies, heads, robot end-effectors, and the environment into unified spatial data. At the event, Maniformer further released HandPose, a high-precision hand reconstruction technology. Utilizing five-eye panoramic perception, robust hand tracking, three-eye deep fusion, parametric hand reconstruction, and high-precision trajectory recovery, the technology achieves robust hand reconstruction across all scenarios. Beyond hands, Maniformer has also developed spatial reconstruction capabilities for the head, body, robot end-effectors, and the environment. To ensure efficient utilization of massive amounts of real-world data, Maniformer has established the ManiEval multi-dimensional data quality inspection and grading system. ManiEval evaluates data across multiple dimensions - including data type, task type, sensor quality, semantic quality, and action quality. Adopting a "grade, don't filter" approach, it matches data of varying quality and characteristics to different model training needs, ensuring every piece of real data finds its suitable application scenario. Image Source: Maniformer Building on this, Maniformer continues to explore applications for different data types in embodied brains, Vision-Language-Action (VLA) models, and World Action Models. This transforms real-world data into machine perception, action, and reasoning capabilities, thereby bridging the complete loop of "collection - reconstruction - quality inspection - training - deployment - feedback." Currently, Maniformer's million-hour disembodied dataset is serving top-tier clients such as Tencent's Robotics X Lab and Robbyant, providing tailored data products and services based on specific model training requirements. Gasgoo not only offers timely news and profound insight about China auto industry, but also help with business connection and expansion for suppliers and purchasers via multiple channels and methods. Buyer service: [email protected] Seller Service: [email protected]