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The police in Zhanjiang, China, dismantled a virtual currency "score running" money laundering gang, and 16 people were criminally detained

Recently, the public security agencies of Zhanjiang and Leizhou in Guangdong, China, launched a concentrated crackdown operation, successfully dismantling a money laundering criminal gang that used virtual currency transactions to transfer funds from telecom network fraud. Sixteen members were criminally detained in accordance with the law.The gang, led by a couple named He and Zhang, began laundering and transferring fraudulently obtained funds through virtual currency trading models since the end of 2025. They illegally profited by earning transaction price differences and amassed a large number of personal bank cards, WeChat, Alipay, and other payment accounts to build a money laundering chain. In the early hours of July 24, the police conducted a precise cross-regional operation, dismantling the entire gang. The Zhanjiang Public Security Bureau solemnly reminds that "score running" money laundering is an important accomplice in telecom network fraud. Involved individuals will be charged based on the severity of their actions, suspected of aiding information network criminal activities, concealing and disguising criminal proceeds, and crimes related to the benefits of criminal proceeds.Citizens are strongly advised not to rent, lend, or sell personal bank cards and various payment accounts for the sake of small commissions. They must resolutely avoid participating in illegal activities such as virtual currency fund transfers and money laundering. Everyone should consciously protect their personal credit and property safety and actively stay away from all types of fraud-related criminal activities.

hot_img Zhipu has acquired AI Infra company Zhongke Jiahe for hundreds of millions, fully addressing the shortcomings in underlying heterogeneous computing power engineering

According to "AI Technology Review," China's leading large model company Zhipu has invested hundreds of millions of yuan to acquire the AI heterogeneous computing power software infrastructure company Zhongke Jiahe. This move aims to completely address Zhipu's shortcomings in the underlying engineering and compiler capabilities of large models, in response to the structural shortage of computing power and high-concurrency inference challenges caused by a surge in user numbers.Zhongke Jiahe's technology originates from the Compiler Laboratory of the Institute of Computing Technology, Chinese Academy of Sciences, founded by Dr. Cui Huimin. Its core team has been deeply involved in the development of compilers for several domestic chips, including Loongson, Sunway, Cambricon, and Huawei Ascend. Zhongke Jiahe's core advantage lies in its virtual instruction set technology, which can unify different brands and models of chip ecosystems through middleware software, assembling scattered domestic chips into a unified ultra-large-scale cluster, thereby significantly improving overall computing power utilization; its SigInfer inference engine is claimed by the official source to reduce the inference latency of large models by up to 74 times.Recently, Zhipu's Coding Agent business has experienced explosive growth. The newly released GLM-5.2 large model saw a 27-fold increase in daily Token call volume during its first week on the aggregation platform, leading to the exposure of systemic engineering bottlenecks in its inference infrastructure under high concurrency and long context scenarios. After being placed on the U.S. Entity List, Zhipu has actively promoted domestic alternatives and has now completed inference adaptation for eight major domestic computing power platforms, including Huawei Ascend, PingTouGe, and Moore Threads. The acquisition of Zhongke Jiahe will not only directly improve Zhipu's unit Token inference cost and output quality but also provide core underlying compiler technology support for its previously rumored self-developed custom AI inference chip plan.
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