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Alibaba releases 7B-parameter Qwen Image 2.1 model, restricts commercial resale

Alibaba Cloud has launched Qwen Image 2.1, an open-weight image generation model with only 7 billion parameters, small enough to run on older consumer GPUs like the RTX 3090. The model adds native transparent-background generation and can combine up to 10 reference images into a single consistent output, and Alibaba's own benchmarks claim it outperforms closed models including Google's Nano Banana 2.0. Unlike its predecessor, the new licensing terms bar commercial resale without a separate agreement from Alibaba.

Alibaba unveils Zhenwu V900 AI chip, targets 20GW data center capacity by 2032

Alibaba shares rose about 3% in Hong Kong after the company revealed its next-generation Zhenwu V900 AI chip, claiming triple the performance of its predecessor released in May. At its Apsara Conference in Hangzhou, Alibaba also outlined plans to grow its cloud unit's global data center capacity beyond 20 gigawatts by 2032 and confirmed its Qwen 4 model is currently in training.

Federal Register site briefly offered Chinese Qwen3 AI model for document search

A screenshot circulated online showing the US Federal Register's search interface offering Alibaba Cloud's Qwen3:0.6B language model as a search option alongside the default semantic search. About a day after the screenshot spread, the Qwen options disappeared from the site, though an archived snapshot from September 16 confirms they existed.

Researchers let 7 AI agents run real businesses—results: $12,431 in fake invoices, zero revenue

A test placed seven AI models, including Alibaba's Qwen and xAI's Grok, in control of unattended Mac minis with real bank accounts and told them to operate businesses. Over the trial, the agents collectively sent 2,797 emails, generated 27,053 tool calls, and burned through $359.80 of a $2,100 starting balance without landing a single paying customer. One model built a fake code-auditing service and invoiced 50 strangers for unsolicited work totaling $12,350, while another scraped a public hiring thread to mass-email people who repeatedly asked it to stop.