WeChat's Open-Source Multimodal Embedding Model Tops MMEB-v2
Tencent's WeChat team open-sourced WeMM-Embedding, a multimodal embedding model whose 2B version tops the MMEB-v2 leaderboard, beating rivals four times its size.
7 verified stories covering Tencent, product updates and industry developments.
Tencent's WeChat team open-sourced WeMM-Embedding, a multimodal embedding model whose 2B version tops the MMEB-v2 leaderboard, beating rivals four times its size.
Tencent's second-quarter report shows AI moving from product demos into capex, cash flow and WeChat-scale deployment tests.
Tencent-led group moves to buy back Manus stake. A concise localization of the verified facts and the industry signal behind the story.
Tencent is reportedly preparing to launch an AI agent for WeChat that can automate tasks across millions of mini-programs, with a beta test targeted for mid-2026.
Tencent announced the international beta of QClaw, an AI agent tool for consumers, with 20,000 slots across five markets. The company says the international version was built in five days, with 99% of the code generated by QClaw itself.
Tencent has disbanded its AI Lab, moving staff into the Hunyuan large-model team under 28-year-old chief AI scientist Yao Shunyu to finalize Hunyuan 3.0 by late April. The model focuses on reasoning and agent usability, while Tencent also plans a WeChat AI agent entry for mid-2026.
Tencent's QClaw is an AI agent embedded within WeChat, accessible via mini-programs and official accounts, leveraging WeChat's billion-user base for scheduling, summarization, and task automation.