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Tsinghua & partners open-sourced MOSS-TTSD, a bilingual speech model based on Qwen3-1.7B. Features XY-Tokenizer for 1kbps low-bitrate quality, zero-shot cloning, and 960s generation. Outperforms MoonCast in Chinese metrics.....

Black Forest Labs & Krea launch open-source image model FLUX.1-Krea, addressing AI's artificial look via 12B-parameter diffusion. Enhanced training improves realism in lighting/colors, compatible with FLUX ecosystem for commercial use.....

San Francisco AI startup Deep Cogito launches the Cogito v2 series of open-source large models, focusing on machine intuition and self-improvement capabilities. The series includes four dense and mixture-of-experts models with 70B to 671B parameters. The flagship 671B MoE model has a reasoning efficiency that is 60% higher than DeepSeek R1, and its performance is close to Claude4Opus. Its core technology involves internalizing reasoning paths into model weights through introspective reasoning, enabling continuous evolution while in use. Tests show that the model can

The Qwen3-Coder series has welcomed a new member - Qwen3-Coder-Flash, a programming model affectionately called "a dessert-level" by developers. With its outstanding performance and efficient operation speed, this model brings new surprises to the field of programming. The full name of Qwen3-Coder-Flash is Qwen3-Coder-30B-A3B-Instruct. It performs excellently in terms of performance and efficiency, especially in agentic coding and browsing

Kunlun open-sources Skywork UniPic, a 1.5B-parameter multimodal model integrating image understanding, generation, and editing. It unifies multimodal tasks with end-to-end pretraining, offering strong performance comparable to larger models.....

Shenzhen Leju Robotics has secured a new round of funding, with its registered capital increased to 2.27 million yuan, and investors including Dongfang Jinggong. The company, established in 2016, has accumulated over tens of millions in financing. It has transitioned from educational robots to the industrial field. Its Aelos educational robot has been adopted by more than 4,000 schools. In 2023, it launched a humanoid robot based on open-source HarmonyOS, and collaborated with Huawei Cloud and China Mobile to develop 5G-A robots, enhancing application capabilities in industrial scenarios. The company plans to deliver 1,000 humanoid robots by 2025, addressing labor shortages in manufacturing and promoting intelligent production.

Mistral AI released a large language model environmental assessment report, revealing challenges in the sustainable development of AI technology. The report shows that 85.5% of carbon emissions and 91% of water consumption are concentrated in the training and inference phases. 18 months of operation produced 20.4 tons of carbon dioxide and consumed 281,000 cubic meters of water. A single interaction of 400 tokens produces 1.14 grams of carbon emissions and 45 milliliters of water consumption. The company acknowledges the limitations of the study, such as hardware performance evaluation, but the data align with industry assessments. Mistral calls for increased industry transparency and commits to updates.

Doubao App has made a major upgrade in the field of visual reasoning. Its image analysis feature now supports a deep thinking mode, offering users an unprecedented intelligent experience. Users just need to take or upload a picture while in deep thinking mode, and Doubao can quickly perform fine adjustments such as zooming and cropping, and supports image search functionality, enabling users to think and search simultaneously, thereby further improving the accuracy of search results.

Julius AI, an AI data analytics firm, raised $10M in seed funding led by Bessemer Venture Partners. Founded by Rahul Sonwalkar post-Y Combinator, it enables natural language data analysis with 2M users and 10M+ visualizations. Used in Harvard Business School, it simulates analyst conversations for data insights.....

Zhipu launches the open-source large model GLM-4.5 series, available in two versions with 355 billion and 106 billion parameters, using a MoE architecture and following the MIT license. The model ranks second globally and first domestically in 12 benchmark tests, particularly excelling in tool calling and task completion. It supports complex tasks such as code generation and 3D interaction. API pricing is affordable (0.8 yuan per million tokens). Although the parameter count is only 1/2 to 1/3 of competitors, it achieves efficient performance through 15 trillion token pretraining.

Zhipu AI releases its next-generation flagship model, GLM-4.5, which achieves native integration of reasoning, coding, and agent capabilities. It uses a MoE architecture to provide high parameter efficiency. The model performs excellently across 12 authoritative evaluation benchmarks, achieving the third place globally and the first in domestic rankings. The model supports dual-mode operation, with training data reaching 2.3 trillion tokens, and offers competitive API pricing. GLM-4.5 is compatible with mainstream code frameworks, possessing full-stack development capabilities. It is now open-sourced on multiple platforms and provides an experience. Its technological breakthroughs and cost-effectiveness are expected to drive

Alibaba announced three open-source large models at the 2025 World Artificial Intelligence Conference. These include the Qwen full-size, multi-modal model, all of which have received the highest honors in the global open-source field. Alibaba demonstrated its full-stack AI capabilities and plans to invest 38 billion yuan over three years to build cloud and AI infrastructure. The Alibaba Cloud BaiLian platform has gathered 200,000 developers who have created over 700,000 intelligent Agents. These initiatives will promote the development of AI applications and strengthen Alibaba's leading position in the AI field.

Zhiyuan Robotics announced the open-source plan for the Zhiyuan Lingqu OS, an embodied intelligence operating system, at the 2025 World Artificial Intelligence Conference. The humanoid robot Lingxi X2 demonstrated intelligent interaction capabilities through natural dialogue. The system adopts a layered open-source model, including underlying middleware, agent framework, and toolchain, with plans to launch in the fourth quarter. Zhiyuan Robotics has already achieved application in fields such as industrial logistics, and its Qiyuan general embodied large model won the SAIL Star Award. The company will continue to improve the operating system and promote the development of embodied intelligence industry.

Alibaba Cloud is about to release the upgraded video generation AI model Wan 2.2, achieving multiple breakthroughs based on Wan 2.1: 1) Performance improvements, supporting high-resolution 1080p/4K and long video generation; 2) New video-to-audio function, enhancing multimodal creation; 3) Optimized hardware requirements, capable of running on devices with 6GB VRAM; 4) Training data expanded to 1.5 billion videos + 10 billion images; 5) Continued open-source strategy, using the Apache 2.0 license. This model will solidify Alibaba's leading position in the field of AI video generation.

DailiCode, an open-source AI tool on GitHub, enhances Gemini CLI with support for 15 major models like Gemini-2.5-pro. It offers code queries, PDF processing, PR automation, and Discord bot deployment. Requires Node.js for easy npx installation.....

5ire is an open-source, cross-platform desktop AI assistant for Windows, macOS, and Linux. It supports OpenAI-style APIs, local knowledge bases, prompt libraries, and chat history search. Features MCP protocol for tool automation, document vectorization, and local RAG retrieval, offering developers a free, efficient tool for AI interaction and token optimization.....

Openjourney integrates Google Gemini SDK for AI-powered image/video generation: 1) Imagen4 creates 1024x1024 HD images with MidJourney-style interface; 2) Veo3 generates 3-5s 720p videos from text, Veo2 animates static images; 3) Built with Next.js15 for smooth UX. Offers open-source alternative to MidJourney.....

Apple's AI team faces internal conflict as SVP Federighi rejects open-source plan, citing existing models and iPhone performance concerns. Team questions 'device-first' strategy. Apple delays Siri update, considers partnering with OpenAI, highlighting AI strategy dilemma between privacy and innovation.....

The Kimi team released the Kimi K2 technical report. This trillion-parameter large model, with 32 billion activated parameters, won the global open-source model competition, with performance comparable to top closed-source models such as GPT4.5. Its innovations include: using the MuonClip optimizer to process 15.5 trillion token data without loss; developing a multi-domain tool data synthesis pipeline; pioneering the restatement method to improve training efficiency, achieving the effect of ten rounds of original data in one round of rewritten data; optimizing model performance through supervised fine-tuning and reinforcement learning. The model is based on N