Jinkai New Energy's subsidiary plans to cooperate strategically with Baixin Information in green computing centers, green electricity, and industry chain integration


Loomi launched the world's first AI content creation IDE, aiming to address pain points faced by creators such as low efficiency and difficulty in content adaptation. By leveraging AI technology, it optimizes the creative process and enhances content output efficiency.
Tongyi Lab of Alibaba Cloud released the Qwen Code v0.5.0 version, upgrading the domestic AI programming tool from a command-line tool to a full-chain development ecosystem platform. The new version enhances core coding capabilities and breaks through plugin integration, engineering context understanding, and developer collaboration support, introducing a multi-tool collaborative architecture to build a developer's digital workspace.
The 2025 report from the Yuanbao platform shows that the Huan Yuan model has achieved multi-dimensional upgrades in AI capabilities. The platform offers two modes: "Quick Thinking" and "Deep Thinking." Over 70% of users choose the "Quick Thinking" mode, with nearly half of the questions resolved in the first round. The "Deep Thinking" mode is suitable for complex scenarios, with dialogues usually lasting more than three rounds, and nearly half of them can generate multi-step structured content. In terms of image interaction, the Huan Yuan T1-Vis model was launched in May.
Social platform X (formerly Twitter) announced that its recommendation system has been fully upgraded, driven by the Grok large model developed by xAI, shifting from traditional rules to pure AI intelligent recommendations. This transformation aims to provide global users with a more accurate and personalized content experience, marking an important milestone in the evolution of social media algorithms. Grok processes more than 100 million posts daily, supporting the core processing capability of the new system.
NVIDIA and Stanford University jointly released the general game AI agent NitroGen, trained on over 1000 games and 40,000 hours of data, featuring strong cross-game generalization capabilities. The research team will open-source the dataset and model weights, promoting global AI and game research development.