Eddie Wu吴泳铭
Alibaba Group
CEO
ChinaEddie Wu, male, Chinese national, born in 1975, a native of Hangzhou, Zhejiang, began his career in 1996, holds a bachelor's degree in computer science. He is a director and CEO of Alibaba Group and chairman and CEO of Alibaba Cloud Intelligence Group.
- 1992–1996Studied computer science at the College of Information Engineering, Zhejiang University of Technology, earning a bachelor's degree
- 1996–1999Programmer at China Yellow Pages in Hangzhou(During this period: from 1997, participated in website technology development for China's Ministry of Foreign Trade and Economic Cooperation)
- 1999–2007Co-founded Alibaba (one of its eighteen founders); served successively as technical director of Alibaba (China) and chief technology officer of the B2B platform, Taobao, and Alipay
- 2007–2015Founded the Alimama platform and served as its general manager; later led the mobile Taobao business
- 2015–2023Founded Vision Plus Capital and served as founding partner(During this period: 2015–2020, concurrently served as chairman of the board of Alibaba Health; from 2023, served as chairman of Taotian Group)
- 2023–presentDirector and CEO of Alibaba Group, concurrently chairman and CEO of Alibaba Cloud Intelligence Group(During this period: 2023–2024, concurrently served as CEO of Taotian Group)
Wikipedia · Eddie WuCompany
China's largest cloud and open-model (Qwen) distributor.
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Event timeline
Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights
Microsoft released SkillOpt, an open-source framework that optimizes AI agent skill files (.md). Traditionally, skill optimization requires manual instruction editing, which is slow and error-prone. SkillOpt treats skill documents as trainable objects, automatically exploring optimal instruction combinations via deep-learning-style optimization, boosting accuracy for models like GPT-5.5 without altering underlying weights.
Researchers say they trained a foundation model from scratch for about $1,500
Researchers at Sapient developed HRM-Text, using a Hierarchical Recurrent Model architecture, training a 1B-parameter foundation model from scratch for about $1,500 with only instruction-response pairs. The model achieves competitive performance with much larger open models, dramatically reducing pretraining costs and enabling organizations with limited resources to train their own reasoning models.
Microsoft's AI Futurist explains how he uses Copilot and the real-world problems enterprises are solving with agents
At Build 2026, Microsoft emphasized agents are rapidly moving into production in enterprise systems, announcing Microsoft IQ as a context layer across GitHub Copilot, Microsoft Foundry, and Copilot Studio, along with Work IQ APIs, Fabric IQ, Foundry IQ, and Web IQ. It also launched Scout, a personal work agent, and seven new MAI models including MAI-Thinking-1. Microsoft AI Futurist Marco Casalaina (former VP of Azure AI products) spoke with VentureBeat about agent strategy and model-choice philosophy.
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