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After a long period of anticipation and speculation, Xiaomi has finally officially announced its first AI glasses product. This highly anticipated device will be unveiled at tomorrow night's launch event. As another key product in Xiaomi's smart wearables field, the glasses are positioned as personal smart devices for the next generation, drawing widespread attention from the industry and consumers. It is reported that the rumors about Xiaomi AI glasses had already surfaced last year, but Xiaomi has remained silent and did not reveal any specific information. Now, with the release date approaching, the mystery surrounding this product is gradually being unveiled.

On June 24, Faraday Future officially announced the launch of the FF AI2.0 intelligent cockpit operating system, which is the most significant cockpit upgrade since the release of the FF91 in 2023. The new system will be deployed to the FF91 2.0 model first through OTA software updates, and it is planned to be extended to the FX series in the future. FF AI2.0 features a complete restructuring of the entire AI architecture, with its biggest highlight being the deep integration with OpenAI. The system deeply integrates large language models (LLMs) into Faraday Future's software and hardware architecture.

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

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

Artificial intelligence research company Anthropic recently announced its latest progress in explainable AI (Interpretable AI) technology, which aims to make the decision-making process of large language models more transparent. This breakthrough may have a profound impact on how enterprises formulate strategies for applying large language models. The core technology breakthrough developed by Anthropic allows researchers to understand the model's thinking process and trace the underlying logic leading to specific conclusions.

An artificial intelligence research company, Anthropic, is developing AI systems with 'explainability' that enables users to understand the decision-making processes of large language models (LLMs). This breakthrough research may have a profound impact on enterprises' strategies for applying large language models. Breakthrough Technology: Peering into the AI 'Black Box' Anthropic's research focuses on solving the 'black box' problem of current generative AI systems.

{ title: Anthropic Develops Explanable AI Technology Or Will Reshape Enterprise Large Language Model Strategy, content: Artificial intelligence research company Anthropic recently announced that it is developing an 'explainable' AI system. This technology is expected to allow enterprises to better understand the decision-making process of large language models (LLMs). This breakthrough study may have a profound impact on companies' strategies for applying LLMs.}

Recently, MiniMax announced the launch of its new model MiniMax-M1. As the world's first open-source large-scale hybrid architecture inference model, it demonstrates outstanding performance in complex production scenarios, becoming a leader among open-source models. MiniMax-M1 not only surpasses domestic closed-source models but also approaches the level of the most advanced overseas models while maintaining the highest cost-effectiveness in the industry. A notable feature of MiniMax-M1 is its support for up to 1 million context inputs, comparable to the closed-source model G

Alibaba Group announced the release of an upgraded version of its flagship AI model Qwen3, which has successfully been adapted to Apple's MLX architecture. This indicates that the launch of Apple Intelligence in the Chinese market may be imminent. According to Alibaba, the new Qwen3 version boasts stronger performance, supporting 119 languages and dialects, further enhancing user experience. In the previous iOS 18.4 update, Apple Intelligence had already started supporting Simplified Chinese, but its generation ...

Recently, the official account of Alibaba's Tongyi Qwen announced the official release and open-sourcing of the full series of 32 Qwen3 MLX quantized models. This move has attracted widespread attention in the AI field. MLX is an open-source machine learning framework specifically designed for deep compatibility with Apple chips, providing efficient capabilities for training and deploying large AI models, and is increasingly favored by many AI developers. Alibaba's actions are seen by insiders as preparation for domestic Apple Intelligence (Apple AI). Previously, multiple authoritative messages had hinted that Alibaba...

At the recent VivaTech科技Summit held in Paris, NVIDIA CEO Jensen Huang stated that European artificial intelligence (AI) computing power is expected to increase tenfold within the next two years. This prediction has drawn significant attention from the industry, especially given the increasing worldwide focus on AI technology. Huang pointed out that Europe is actively building more than 20 "AI superfactories", which will provide strong infrastructure support for AI development. He emphasized that countries in Europe have already realized