Alibaba announced that Qwen4 is in training, with future versions Qwen4.5 and Qwen5 planned to reach 5-10 trillion parameters. The company also showcased progress across multilingual, multimodal, and video generation models at the Yunqi Conference. This signals a push toward self-improving AI systems and larger parameter scales.
CN media centers on Qwen4’s training status and clear ambition for 5-10 trillion parameter models, highlighting RSI and multi-modal capabilities as part of a broader push for self-improving AI systems. There’s less emphasis here on individual product milestones beyond the stated scale and the Yunqi Conference setting.
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CN outlets emphasize ongoing training across Qwen4 and accompanying video/image/audio/model progress, plus RSI/self-improvement pathways and parameter-scale ambitions.
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