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Xiaomi officially launched its next-generation personal smart device - Xiaomi AI Glasses, which has attracted widespread attention due to its innovative payment function. With the increasing popularity of mobile payments, Xiaomi AI Glasses are equipped with the "Alipay Look-and-Pay" feature, offering users a new payment option when their hands are busy or when using a phone is inconvenient. When users need to pay, they can complete the scanning and payment just by using the glasses, which is both secure and convenient.

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

The plan's advancement has triggered dissatisfaction among developers. According to VentureBeat, OpenAI's current API deprecation involves the GPT-4.5 Preview version, which is an intermediary model launched between GPT-4 and GPT-5. Multiple developers have stated that this sudden change has disrupted their development plans, forcing significant adjustments to applications already built based on this API. A developer who wished to remain anonymous commented: We understand the necessity of technological iteration, but the lack of sufficient buffer time in the schedule has brought additional pressure to development teams.

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

French AI startup Mistral AI announced on Wednesday its full entry into the AI infrastructure sector, positioning itself as a strong response to American cloud giants from Europe. At the same time, the company also launched a new inference model that can rival the most advanced systems of OpenAI. This Paris-based company released Mistral Compute, an integrated AI infrastructure platform developed in collaboration with NVIDIA (Nvidia), designed to provide European enterprises and governments with alternative solutions to摆脱对

Qualcomm has officially announced its all-new Snapdragon AR1+ Gen processor, designed to provide stronger support for smart glasses. Although the new processor only shows a slight performance improvement compared to the previous Snapdragon AR1 Gen1 chip, its biggest highlight is the direct support for device-side artificial intelligence. This means users can enjoy convenient AI services simply by wearing smart glasses without relying on smartphones or the cloud. The Snapdragon AR1+ Gen 1 has a smaller size, with an area reduced by 28%.

Apple has released the latest update to its artificial intelligence model, which primarily supports the Apple Intelligence feature for systems like iOS and macOS. According to Apple's official data, the newly launched model performs comparably with similar products from Google and Alibaba, but compared to OpenAI's GPT-4o released a year ago, Apple's server-side model performance is notably weaker. In the update, Apple emphasized the capabilities of its 'device-side model'.

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.

Recently, tech giant NVIDIA, in collaboration with the Massachusetts Institute of Technology (MIT) and the University of Hong Kong, released a new framework called Fast-dLLM. This innovative framework aims to significantly increase the inference speed of diffusion models (Diffusion-based LLMs), up to 27.6 times, providing stronger technical support for AI applications. The challenges and opportunities of diffusion models make them strong competitors to traditional autoregressive models.

The global leader in open-source solutions, Red Hat, recently announced the launch of the revolutionary open-source project LLM-D, specifically addressing the urgent needs for large-scale inference in generative AI. The project, founded by industry giants such as CoreWeave, Google Cloud, IBM Research, and NVIDIA, aims to meet the most stringent production service-level goals through breakthrough technologies that enable cloud-based large language model inferencing.