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Recently, Hon Hai Precision Industrial Co., Ltd. (commonly known as Foxconn) submitted a trademark registration application for "FoxBrain" to the Trademark Office of the National Intellectual Property Administration. This AI inference large model is not only Foxconn's first attempt but also the first AI model of this type in Taiwan. According to public information, the international classification of this trademark is scientific instruments, and it is currently in the "waiting for substantive examination" status. "FoxBrain" is an AI inference large model launched by the Hon Hai Research Institute, covering data analysis

Recently, OpenAI announced that it will refactor its Codex CLI tool, completely abandoning TypeScript in favor of the Rust language. This decision aims to provide developers with a more efficient and stable AI terminal interaction experience. Codex CLI was originally designed to simplify developers' interaction with AI in the terminal, using TypeScript and the React-based Ink framework. However, as Codex CLI continues to develop,

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.

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.

A deep dive into the features and effects of Flux Context, an AI image enhancement tool, including core features like photo cartoonization, watermark removal, and old photo restoration, to analyze whether it can truly enhance the efficiency and quality of image processing.

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

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.

In the rapidly developing field of artificial intelligence today, Alibaba officially open-sourced its new Qwen3 Embedding model series on June 6th. Based on the Qwen3 foundation model, this model is optimized for tasks such as text representation, retrieval, and ranking, marking another significant breakthrough for Alibaba in the AI field. Compared to the previous version, Qwen3 Embedding has achieved over a 40% performance improvement in core tasks such as text retrieval, clustering, and classification. This progress not only makes it more competitive

Google recently released its latest preview version of Gemini2.5Pro, a product known as the 'most intelligent' model, which was first announced in March and then updated in May. The preview version aims to give enterprises an opportunity to test new applications or replace earlier versions. According to Google's official blog, this new version performs better in responsiveness and creativity, while surpassing other models in coding and reasoning ability. At the I/O Developer Conference in May, Google revealed that Gemini2.