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On June 29, 2025, the Alibaba International AI Team officially released the new multi-modal large model **Ovis-U1**, marking another major breakthrough in the field of multi-modal artificial intelligence. As the latest masterpiece of the Ovis series, Ovis-U1 integrates multi-modal understanding, image generation, and image editing functions, demonstrating powerful cross-modal processing capabilities, providing new possibilities for developers, researchers, and industry applications. This is a detailed report on Ovis-U1 by AIbase. Ovis-U1

Recently, the tech brand Fansang introduced its new portable private cloud product - FX2510 Smart NAS at the 2025 São Paulo Consumer Electronics and Appliance Exhibition (Eletrolar Show Brazil 2025). This upgraded NAS not only offers powerful storage capabilities but also deeply integrates interfaces of more than ten mainstream AI models, including ChatGPT and Deepseek, fully demonstrating the wide application of smart technology in the storage field. FX

In a live stream on June 24, renowned education blogger Zhang Xuefeng gave an unexpected answer to the question of whether he was worried about being replaced by AI. He said, 'It would be best if I could be replaced!' This view sparked heated discussions among the audience. Zhang Xuefeng believes that the current development speed of AI is indeed astonishing, especially in the field of college entrance exam major selection. Intelligent platforms such as "Quark" can already generate professional application reports and have deep search functions, which were unimaginable a few years ago. Image source note: The image is generated by AI.

Recently, Tencent Cloud officially launched the first full-chain AI-powered application development platform in China – AI Builder. This platform significantly reduces the threshold for application development through natural language processing technology, allowing ordinary users without technical backgrounds to independently create mini-programs or web applications, providing strong support for the realization of creativity. In traditional application development processes, users often need to master programming languages, understand database design, configure servers, and other complex skills, which is undoubtedly an insurmountable obstacle for non-professional developers.

This article provides an in-depth review of the UntitledPen AI voice generation tool, analyzing its core features such as its intelligent writing assistant, lifelike voice conversion technology, and multilingual support. It helps content creators, video producers, and marketing experts evaluate the practical value and user experience of this tool.

Tencent Music Entertainment Group recently announced that it would acquire China's leading long audio platform, Himalaya, by paying $1.26 billion in cash and partial equity. This much-discussed merger not only reshaped the competitive landscape of China's audio market but also foretells a new trend of deep integration between "ear economy" and AI technology. According to the announcement, Tencent Music will pay a huge amount of cash and provide Class A ordinary shares worth up to 5.5686% of the total share capital to Himalaya and its founding shareholders in phases. After the transaction is completed, Himalaya will officially become part of Tencent Music.

In recent years, the field of artificial intelligence has undergone tremendous changes, especially with large language models (LLMs) making remarkable progress in multi-modal tasks. These models have demonstrated strong potential in their ability to understand and generate language, but most current multi-modal models still adopt auto-regressive (AR) architectures, which limit inference processes to be rather monotonous and lacking flexibility. To address this limitation, a research team from The University of Hong Kong and Huawei Noah's Ark Lab has proposed a brand new model – FUDOKI, aiming to break these constraints. The core innovation of FUDOKI is

Recently, the Natural Language Intelligence Team of the Tongyi Lab officially released and open-sourced VRAG-RL — a multi-modal RAG reasoning framework driven by visual perception. It aims to solve the problem of how AI can retrieve key information and conduct fine-grained reasoning from visual languages such as images, tables, design drafts, etc., in real-world business scenarios. Retrieving and reasoning about key information in complex visual document knowledge bases has always been a major challenge in the AI field. Traditional retrieval-augmented generation (RAG) methods struggle when handling visually rich information because they find it difficult to...

Recently, the MiMo-VL multi-modal model developed by Xiaomi Company has taken over the baton from MiMo-7B, showcasing powerful capabilities in multiple fields. The model significantly outperforms the same-size benchmark multi-modal model Qwen2.5-VL-7B in tasks such as general question answering and understanding inference for images, videos, and language, and its performance in GUI Grounding tasks is comparable to that of specialized models, preparing for the arrival of the Agent era.

Recently, Telegram has reached a partnership with Elon Musk's artificial intelligence company xAI to distribute the latter's chat bot Grok through Telegram and integrate it into available applications on the chat application platform for one year. Telegram CEO Pavel Durov said on Tuesday that as part of the deal, xAI will pay $300 million in cash and equity to the chat application. Durov said, Te

Recently, a new evaluation benchmark - RBench-V, specifically designed to test the visual reasoning capabilities of multi-modal large models, was released by research teams from Tsinghua University, Tencent HUNYUAN, Stanford University, and Carnegie Mellon University. The introduction of this benchmark aims to fill the gap in the current evaluation system regarding the model's visual output capabilities, allowing for a more comprehensive understanding of existing model performance. The RBench-V benchmark consists of 803 questions covering multiple fields, including geometry and graph theory, mechanics and electromagnetism, multi-target recognition, and path planning.