Alibaba set for AI leap with Qwen and next-gen chip

RTHK - Sep 22, 2026

The Alibaba Group plans to train a new artificial intelligence model with between five trillion and 10 trillion parameters, chief executive Eddie Wu said on Tuesday, as the Chinese technology giant outlined ⁠a sweeping strategy encompassing AI models, chips and data centres. Speaking at Alibaba Cloud's annual Apsara Conference in Hangzhou, he said the company's Qwen team was continuing research into model architecture and data optimisation, with the goal of completing "more complex, longer-horizon tasks" and advancing towards artificial superintelligence, or ASI. In a separate statement, Alibaba said its next-generation model, Qwen 4, was currently in training, adding that the upcoming Qwen 4.5 and Qwen 5 series were projected to scale up to five trillion to 10 trillion parameters. Parameters are the variables a model learns during training and are a rough gauge of its size. Alibaba's current flagship ⁠model, Qwen 3.8 Max, has 2.4 trillion parameters, meaning the planned model would be roughly two to four times larger. Wu said Alibaba's proprietary M890 AI supernode already handles inference for models above two trillion parameters, a capability he said only "a handful of companies globally" possess. The Qwen team has made "meaningful progress" on recursive self-improvement, in which models identify their own limitations, design experiments and...

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