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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,

As competition in the field of artificial intelligence intensifies, the CEO of OpenAI, Sam Altman, recently had a phone conversation with the CEO of Microsoft, Satya Nadella, discussing their future cooperation. This information was revealed in an interview on Altman's podcast on Tuesday. He mentioned that the conversation with Nadella mainly focused on how to revise their investment terms and issues related to future equity. It is known that Microsoft is a key investor in OpenAI, and recently there have been some differences between the two sides regarding investment details, especially concerning Microsoft's future shareholding.

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.

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.

Shoplauncher AI is revolutionizing the barrier to entry for independent store creation through AI technology, promising a fully optimized Shopify store in minutes. This review will analyze how it addresses the three major obstacles of technology, product selection, and optimization, and challenges faced by 85% of novice sellers may be easily resolved.

India's artificial intelligence (AI) job market is experiencing unprecedented growth. According to the latest report, India is expected to have over 45,000 AI-related job openings by 2025, highlighting the rapid increase in demand and immense development potential in this field. This trend is particularly prominent in industries such as healthcare and fintech, driving innovation and efficiency improvements. LinkedIn's recent report indicates that AI-related job postings in India have increased by an impressive 74% in just one year.

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

At the Volcano Force Original Power Conference held today, Tan Dai, president of Volcano Engine, disclosed a set of eye-catching data: By the end of May 2025, the daily average token calls of the BeanPod large model had reached 16.4 trillion, which is 137 times that at the time of launch. Tan Dai stated that since its release, the BeanPod large model has continued to iterate and optimize, being widely used in various scenarios such as content creation, intelligent customer service, data analysis, and others, becoming an important engine for enterprise intelligence transformation. According to the latest market data from IDC, Volcano Engine now holds *

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'.

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