Wu Yongming Unveils Alibaba’s Machine Intelligence Roadmap: Qwen Targets 5 Trillion to 10 Trillion Parameters, Zhenwu V900 Performance Triples

Beating AI News Insight: Alibaba CEO Wu Yongming unveiled the company’s next-phase AI roadmap at the Yunqi Conference. The Qwen team plans to train a new model with 5 trillion to 10 trillion parameters; Pingtouge released the Zhenwu V900; and Alibaba Cloud aims to expand its global data center capacity to over 20GW by 2032. Qwen is exploring Recursive Self-Improvement (RSI), which enables the model to identify its own shortcomings based on real task feedback, design experiments, construct data, and continue training. The new generation of models will focus on enhancing capabilities for complex long-horizon tasks, while advancing multimodal models that integrate understanding and generation. Wu Yongming estimates that the total thinking capacity generated by machines today is less than 3% of humans, and could exceed human levels by 1,000 times in the future. He noted that current AI coding is still similar to the "electric light in 1882"—it mainly replaces existing work, while new products truly belonging to the machine intelligence era have not yet emerged. In the future, complex tasks may be split into tens of millions of subtasks, assigned to millions of Agents for continuous execution. To support this scale of computing demand, Alibaba is also strengthening its chip and cloud infrastructure. The Zhenwu V900 delivers 3 times the performance of the M890, with a single cluster scalable to up to 500,000 cards. Wu Yongming stated that medium- and long-term demand for AI currently exceeds supply, and Alibaba Cloud plans to operate over 20GW of global data centers by 2032.