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ByteDance open sources the lightweight multilingual translation model Seed-X, which supports bidirectional translation in 28 languages and demonstrates performance comparable to top-level large models. This 7-billion-parameter model is based on the Mistral architecture and focuses on translation optimization, showing excellent performance in multiple areas. It uses an innovative training strategy to generate high-quality data and optimize deployment efficiency. This is another open-source project from ByteDance following BAGEL and Seed-Coder, promoting advancements in AI translation technology.

Meta cracks down on 'unoriginal' content, removing 10M fake accounts. New measures limit violators' reach while protecting transformative works. Original videos get priority; AI-generated low-quality content is discouraged. Creators can track visibility via a professional dashboard.....

HuggingFace launched the open-source desktop robot Reachy Mini, triggering a rush to buy. This 28-centimeter-tall robot, starting at 299 dollars, achieved sales of over 130,000 euros in five hours. It features a six-degree-of-freedom head, wide-angle camera, and modular design, supporting 15 preset actions and community behavior sharing. It is both a toy and an AI learning platform. As an AI platform valued at 4.5 billion dollars, HuggingFace has acquired the robotics company PollenRobotics and launched the LeRobot project.

According to KPMG China's recent report, "The First 50 Health Tech Companies," China accounts for more than 70% of the global release volume of medical large models. This data not only demonstrates China's rapid development in the field of intelligent healthcare, but also reflects the wide application of large language models in the healthcare industry. The report points out that about 65% of the currently released medical large models are large language models. These models can process and generate natural language, playing a significant supporting role in the analysis of medical data, patient communication, and scientific research.

Microsoft officially announced the release of a new device-side small language model (SLM), Mu, specifically designed for the settings application in Windows 11 to create an intelligent AI agent. This marks a significant breakthrough in localized AI technology within operating system interactions. As a compact and efficient model, Mu runs through deep optimization on the neural processing unit (NPU), providing users with a low-latency, high-privacy natural language interaction experience. AIbase has compiled the highlights and industry impact of Mu, taking you on a journey to explore its features. Mu: Designed Specifically for Windows Settings

This morning, Microsoft officially announced its latest innovative small-parameter model, Mu. This model has only 330 million parameters, yet it can match the performance of Microsoft's previously released Phi-3.5-mini, while being just one-tenth the size of Phi-3.5-mini. More notably, Mu can achieve a response speed of over 100 tokens per second on offline NPU laptops, which is a rare breakthrough in the field of small-parameter models. A major highlight of the Mu model is its support for setting intelligent features in Windows.

Recently, the Central Cyberspace Administration launched the Clean Web Action - Special Campaign to Address the Abuse of AI Technology. Since April 2025, a series of rectification efforts have been carried out targeting the abuse of AI technology. The campaign focuses on addressing issues such as infringements on public rights caused by AI face swapping and voice imitation technologies, as well as misleading the public due to lack of content labeling. After the first phase, joint efforts from cyberspace administration departments at all levels have achieved remarkable results. Image source note: The image is generated by AI, and the image authorization service provider is Midjourney; during the rectification process, a cumulative total of

The French AI lab Mistral recently announced the official release of its first inference model series -- Magistral. The series includes two versions: Magistral Small and Magistral Medium, aimed at enhancing logical reasoning capabilities in disciplines such as mathematics and physics. Mistral stated that the Magistral series models solve problems step by step to improve the consistency and reliability of results.

In the field of AI art generation, there has long been a general understanding that generating high-quality images and videos requires larger models, more parameters, and stronger computing power. However, the research team from Hong Kong University of Science and Technology and Kuaishou Technology recently proposed the EvoSearch (evolutionary search) technology, which is completely overturning this traditional notion. The most impressive performance of this technology is: after using EvoSearch, the generation quality of the Stable Diffusion 2.1 model with only 865M parameters has astonishing results.

X platform recently announced a major update to its recommendation algorithm, deeply integrating self-developed Grok AI technology, aiming to optimize user content experience and significantly increase the visibility opportunities for small account content. This adjustment is considered by the industry as an important innovation in the traditional social media content distribution mechanism. The core upgrade of the algorithm: quality first, scale second. The core of the latest algorithm update focuses on providing more visibility to small accounts, and the platform will now highlight content from lesser-known creators, creating a more equitable competitive environment. The new algorithm prioritizes推送 through Grok AI technology.

X Platform announced a major update to its recommender algorithm, deeply integrating Grok AI technology, with the aim of optimizing user content experience. This adjustment will significantly increase the exposure opportunities for high-quality content from small accounts in the recommendation feed, while also optimizing the sorting mechanism for comment replies. The new algorithm uses Grok AI to prioritize high-quality content, especially viral posts from small accounts with fewer followers. Users will see more diverse and creative posts in their recommended feeds, rather than being limited to content from big-name influencers. This move will provide more display opportunities for newcomers and creators.

According to Yicai Business News, Honor has completed personnel adjustments in 38 key positions in the Chinese region. This is an important part of the organizational transformation called the Eagle Plan implemented throughout the company. It was revealed that this competition is open to all employees of Honor domestically and internationally, using the method of re-competition for positions. 45% of the position holders have been adjusted, with the proportion of employees born in the 90s reaching 24%, and the youngest manager being only 27 years old. The entire competition process was live-streamed within the company, reflecting the employment concept of promoting capable individuals and demoting mediocre ones. At the same time as the organizational structure adjustment, the strategic direction is also clarified.