Alibaba plans AI model with 5 trillion to 10 trillion parameters, unveils new chip

3 humanoid robot stocks to buy as leading U.S. maker targets 10x output BEIJING, Sept 22 (Reuters) - Alibaba Group plans to train a new artificial intelligence model with between 5 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, Wu 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 toward 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 5 trillion to 10 trillion parameters. Parameters are the variables a model learns during training and are a rough gauge of its size.