LAION Calls on the EU to Encourage the Use of Open Source AI Models


OpenAI and Oracle have reached a strategic cooperation, aiming to establish a collaborative channel between AI models and cloud infrastructure. In the coming weeks, Oracle cloud users will be able to directly access AI computing power through their existing procurement process without additional approval, significantly improving the convenience of enterprise-level computing power deployment.
Domestic AIGC multimodal creation field has made new progress, with the open-source AI product LobsterAI (Lobster) under NetEase Youdao upgraded and officially launched image and video generation capabilities. This upgrade adopts a matrix integration strategy, integrating four mainstream multimodal large models: Seedream, Seedance, HappyHorse, and MiniMax-Hailuo, enhancing creative efficiency and diversity.
Alibaba Cloud BaiLian announced on May 29, 2026, that it is fully CLI-enabled and open-sources its CLI project. This move drives a full-stack integration transformation for AI Agent access and development. The CLI encapsulates core capabilities such as mainstream models, workflows, knowledge bases, memory management, web search, and multimodal file processing into a lightweight command-line interface, allowing developers to efficiently use them after installation and authentication.
The new AI product "Qwen Cloud" website was launched at the 2026 Alibaba Cloud Summit. This platform is specifically designed for Agents, integrating over 150 mainstream AI model APIs, including Qwen, GLM, Kimi, etc., aiming to enhance the efficiency and convenience of AI application development. The interface is simple and intuitive, with optimized functional modules that allow users to flexibly select and call models.
A Microsoft report from 2026 shows that 17.8% of the working-age population globally uses generative AI, but the gap between developed and developing countries has widened. In developed countries, 27.5% of people aged 15-64 use the tool, compared to only 15.4% in developing countries, with the gap increasing by 1.5 percentage points since the second half of 2025. The main reasons are differences in internet access, digital skills, and electricity availability.