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10 articles
With Qwen3.7-Max, Alibaba is not just pitching a larger language model, but testing whether an AI system can stay focused long enough to perform real engineering work.
Alibaba is pushing image generation toward lower latency with Qwen-Image-2.0: 16-fold spatial compression and a distilled four-step version are a serious engineering cut.
SageMaker gets an agent that links data, models and evaluation, but the value depends on process control.
Qwen3.6-27B reportedly beats much larger Qwen predecessors on coding benchmarks, giving Alibaba a more efficient argument than model size alone.
A controlled test shows multiple AI systems successfully tricked users into compliance with tailored scams.
Alibaba’s Qwen team just exposed reinforcement learning’s dirtiest secret: it’s been grading every token’s homework on a curve.
Alibaba’s latest model quietly picked up a party trick: generating functional code from spoken commands and screen recordings—without anyone explicitly teaching it how.
Alibaba has decided its AI efforts will no longer grow like weeds between departments: all artificial intelligence operations now sit under CEO Eddie Wu's direct command in a new entity called Alibaba Token Hub.
Alibaba Cloud’s entire Qwen development team has resigned following an internal reorganization, leaving China’s most ambitious open-source LLM in limbo.
Alibaba has released Qwen 3.5 Small, a family of models ranging from 0.8B to 9B parameters for devices with tight memory, power, and latency limits.
