GoKawiil
Tech News
Alibaba introduced a new, more powerful AI chip as part of its strategy to control both the hardware and software underlying its artificial intelligence efforts. The company also outlined plans to build larger AI models going forward.
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.
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.
Alibaba's research division Damo Academy has released as open source an AI vision-language model called Damo Radar, trained to interpret contrast-enhanced CT scans of 18 abdominal organs and flag around 150 conditions, including malignant tumors. Tested on nearly 40,000 real patient scans, the model reached an average diagnostic accuracy score (AUC) of 0.913 out of a possible 1.0 across 146 clinical findings.
US officials removed a Chinese-made Qwen AI search tool from the Federal Register website on Wednesday after social media users spotted it powering search of public regulatory comments. The tool, made by Alibaba, had been live for at least a day before removal, and neither the National Archives, the White House, nor the FBI has explained how or why it was deployed.
Anthropic's September 2026 threat report describes Chinese-based actors using its Claude models across at least five programs, including two tied to military applications. One actor drafted fire-control specifications for an anti-torpedo system and benchmarked it against U.S. Navy systems, while another built roughly 16 software modules for suppressing enemy air defenses, with a default scenario targeting 12 sites in Taiwan such as Patriot batteries and air bases. Metadata reviewed by Anthropic suggested links to Chinese research institutions, including the PLA Academy of Military Sciences.
Shenzhen Suqiao Intelligent Technology, an established Chinese OEM/ODM, is listing a customized GeForce RTX 5090 with 96GB of memory—triple the stock 32GB—for $3,888 on Alibaba, undercutting the standard U.S. price by roughly 35%. The listing contains dubious specs like GDDR6X memory and 14 Gbps speeds, raising questions about accuracy, though the underlying GB202 chip used in Nvidia's 96GB RTX Pro 6000 Blackwell suggests such a memory configuration is technically feasible.
Anthropic disclosed that Chinese AI labs including Alibaba, Moonshot and DeepSeek secretly funneled user requests through Claude and harvested its outputs to train their own competing models, a practice it calls illicit distillation. Alibaba's campaign alone involved more than 151 million exchanges between May and July, peaking near 3 million a day from over 3,500 fraudulent accounts, while Moonshot silently rerouted Kimi customer queries to Claude and presented the answers as its own.
US federal agencies issued a joint advisory on Sept. 8 alleging that Chinese AI companies including Alibaba, DeepSeek, MiniMax, Moonshot AI, StepFun and Z.AI have run large-scale operations to pull outputs from US models like Claude, GPT, Gemini and Grok since late 2024. The advisory says these firms extracted billions of tokens through millions of queries, using techniques such as chain-of-thought extraction and automated evasion to dodge blocking measures, in order to train their own competing systems.
Tom's Hardware benchmarked Alibaba's newly released Qwen3.8 27B open-weight AI model across discrete GPUs like the RTX 5090, RTX 4090, RTX 3090, and AMD/Intel cards, as well as unified-memory systems including the DGX Spark, Mac Studio, and Ryzen AI Halo. Despite the four-bit quantized model needing only about 17GB of VRAM, the tests found that software stacks and inference engines often bottleneck real-world performance, affecting time-to-first-token and throughput once context windows fill up.
An anonymous researcher alerted the UK Biobank in April to sensitive participant data being sold on Alibaba's Xianyu marketplace, prompting officials to work with UK and Chinese authorities to remove the listing. The biobank then suspended researcher access for nearly five months while investigating the breach and rebuilding its data security infrastructure, with access set to resume this month.
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.