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Recently, a speech synthesis model called Qwen-TTS has made new progress, with its latest version update completed through the Qwen API, bringing users a richer speech synthesis experience. In this update, Qwen-TTS added support for three Chinese dialects: Beijing dialect, Shanghai dialect, and Sichuan dialect, further expanding its application scenarios. The model is trained on a large-scale corpus of more than 3 million hours, achieving naturalness and expressiveness at a human level. Qwen-TTS can not only accurately

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

As competition in the AI field intensifies, Meta announced early today that it has successfully poached Trapit Bansal, a top researcher from OpenAI, joining its newly established AI Superintelligence department. According to Techcrunch, an OpenAI spokesperson, Kayla Wood, confirmed Bansal's departure, and Bansal's LinkedIn page also shows he is no longer an employee of OpenAI. Image

ByteDance's Seed Team recently released the impressive results of the 2025 full subject Gaokao test: the Dou Bao Seed1.6-Thinking model scored 683 in literature and 648 in science, meeting the admission threshold for Tsinghua and Peking University, and performed outstandingly in domestic and international AI model Gaokao tests. The test used the national new volume one and Shandong Province's independent proposition papers, with Dou Bao competing against five other top domestic and international AI models such as Google Gemini 2.5 Pro, DeepSeek R1, and OpenAI o3.

This article comprehensively reviews the functional features of the Flowstep AI Design Assistant and analyzes how it solves core pain points such as design resource management, standardization, team collaboration, and decision-making through AI technology, enhancing the creative efficiency and collaborative experience of UI/UX designers and work teams.

Recently, a move by Meta founder Mark Zuckerberg has drawn significant attention. Disappointed with the performance of the company's latest open-source large model, Llama4, Zuckerberg has decided to personally form a brand-new 'Superintelligence Team' in an effort to regain competitive advantage in the field of artificial intelligence. The goal of this new team is to achieve general artificial intelligence (AGI), making machines reach human-level performance across multiple tasks. According to insider sources, Zuckerberg has prioritized the formation of the new team and has already established a group called

Global renowned open-source AI platform Hugging Face recently released the open-weight model contributor ranking. Chinese teams Qwen and DeepSeek successfully ranked in the top 15, showcasing China's technical strength and influence in the global open-source AI field. This ranking honors the teams that provide high-quality model weights to the open-source community, with their models widely applied in academic and industrial innovation. The Qwen team supported by Alibaba Cloud Intelligence Group has gained favor from the community due to the excellent performance of its Qwen3 series models in tasks such as instruction following and code generation.

Adobe continues to expand its AI proxy ecosystem with the official release of the 'Product Support Proxy', aimed at simplifying troubleshooting processes in Adobe Experience Platform and optimizing customer experience management. Additionally, Adobe announced that the 'Insights Proxy' is now available globally. The newly released 'Product Support Proxy' is powered by Adobe Experience Platform Agent Orchestrator, enabling operations by AI Ass

Recently, SoftBank and Intel have jointly developed a new AI-specific memory chip aimed at significantly reducing power consumption to provide more efficient support for Japan's AI infrastructure. According to Nikkei Asia, the goal of their cooperation is to design a new type of stacked DRAM chip. The wiring method of this chip will be different from the popular High Bandwidth Memory (HBM) on the market, expected to reduce power consumption by about 50%. Image source note: The image was generated by AI, and the image rights service provider is Midjourney.