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DeepSeek affiliate company publicly disclosed a patent for deploying large language models, innovatively utilizing a distributed architecture: deploying the prefill and decode stages on high-performance computing and large-memory machines respectively. This method balances the load, reduces computational idle time, significantly lowering latency and increasing throughput. The patent highlights optimizations in system scalability and fault tolerance. Its MoE language model, DeepSeek-V3, has 671 billion parameters, with 37 billion parameters activated per token, which will promote the practical application of AI technology across industries. The core breakthrough lies in combining hardware resources effectively.

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.....

The Seed team of ByteDance announced the release of the experimental diffusion language model Seed Diffusion Preview, marking a major technological breakthrough in the field of language models. The model aims to validate the feasibility of the discrete diffusion technology route as a foundational framework for next-generation language models through structured code generation experiments. Seed Diffusion Preview has achieved significant improvements in inference speed, reaching 2146 tokens per second, which is 5 times faster than equivalent-scale autoregressive models.

Manus AI launches Wide Research, enabling multi-agent collaboration for complex tasks like data analysis. This major update, available to premium users ($199/month), features cluster technology coordinating dozens of agents. Founder Ji Yichao will demo the 2-month-developed core feature.....

OWL team open-sourced Eigent, a multi-agent collaboration tool based on OWL framework, supporting complex task decomposition and multi-level parallel processing (inter/intra-worker, tool calls). Features 200+ built-in tools, Human-in-the-Loop, and dynamic AI team assembly. Fully open-source with excellent GAIA benchmark performance.....

The paper by Dr. Liang Wenfeng's team at DeepSeek in collaboration with Peking University has won the ACL 2025 Best Paper Award. This research proposes the Native Sparse Attention (NSA) mechanism, which achieves algorithm-hardware co-optimization through three parallel attention branches: compression, selection, and sliding. It improves the processing speed of long texts by 11 times and outperforms traditional full-attention models. NSA supports a context length of up to 1 million tokens, achieving an 11.6 times decoding speed improvement on 64k text, and a 27B parameter model demonstrates excellent performance on multiple benchmark tests.

Google launches an experimental AI tool called Opal, allowing users to create mini applications by simply describing their needs in natural language. The tool provides a visual editor that supports adjusting prompts, adding features, or using templates, enabling users without programming experience to quickly build prototype applications. Completed apps can be shared via links, and the tool is currently available only in the United States. This move aligns with the trend of no-code AI platforms, similar to emerging tools like Cursor and Lovable, aiming to lower the barriers to app development. Although still in the testing phase, Opal demonstrates Google's confidence in the future of natural language programming.

Google AI system processed over 98 trillion tokens in June, more than double that of May. Tokens, as the basic unit for AI to understand text, their surge reflects the effectiveness of efficient reasoning models like Gemini Flash 2.5. This new model has 17 times the token processing capability of its predecessor, although the cost has increased 150 times, it significantly improves response accuracy, becoming a key factor in the sharp rise in data processing volume.

Google launches Opal, a no-code AI tool that converts natural language into visual workflows using Gemini for tasks like image processing. It simplifies AI development for all users, currently in US beta.....

The Meta research team introduced an innovative architecture called AU-Net, breaking through the limitations of traditional tokenization techniques. The model learns directly from bytes, dynamically combining bytes into hierarchical sequence representations through a self-regressive U-Net structure. Its contracting path compresses bytes into semantic units, while the expanding path restores information and fuses details, with skip connections preserving local features. A multi-stage pooling strategy is used to extract semantics at the word and phrase levels, and multi-linear upsampling optimizes information fusion. The self-regressive generation mechanism ensures text coherence and significantly improves inference efficiency. This architecture

Google introduces the Gemini 2.5 AI conversational image segmentation feature, allowing users to analyze image content accurately through natural language instructions. This technology overcomes traditional segmentation limitations, enabling understanding of complex semantic instructions, including relational queries, logical commands, and abstract concept recognition, and supports multilingual prompts. Application scenarios include image editing, workplace safety inspections, and insurance claims. Developers can directly call this feature via API, with results including coordinates, pixel masks, and other data. Google recommends using specific model parameters for optimal performance.

Tencent Cloud officially launches CodeBuddy AI IDE, a tool that is hailed as the world's first integrated AI full-stack engineer spanning product, design, and development, attracting widespread attention in the industry. With its unique working method, CodeBuddy AI IDE allows users to propose requirements through natural language conversations, automatically completing the entire process from product concept to design prototype, front-end and back-end coding, and deployment, truly realizing the vision of 'conversation as programming'. It is reported that CodeBuddy AI IDE integrates

AI Gist is an open-source AI prompt management tool that supports variable replacement, Jinja templates, and multi-language functionality, helping developers efficiently manage prompts. Its core features include dynamic template generation, AI-optimized prompts, cloud backup, and multi-view management, making it particularly suitable for scenarios such as chatbots that require frequent adjustments to prompts. The tool supports multiple languages including Chinese, English, and Japanese, and is released under the Apache 2.0 open-source license. It has received over 100 GitHub stars within two weeks. Future plans include optimizing AI algorithms and adding support for localization.

Research reveals that large language models (such as GPT-4o) exhibit a tendency to be easily swayed: they may abandon correct answers when confronted with doubts. Experiments show that the model initially responds confidently, but after being influenced by opposing opinions, it overestimates its own uncertainty and even accepts incorrect information. This phenomenon may stem from an over-approving tendency due to reinforcement learning training, reliance on statistical patterns rather than logical reasoning, and the lack of a memory mechanism. The study reminds users to be aware of the model's sensitivity to opposing opinions during multi-turn conversations.

German study finds AI like ChatGPT is altering human language, creating 'GPT words'. Analysis shows AI-preferred terms like 'in-depth study' surge in usage across media, revealing unconscious human mimicry of AI speech patterns and raising concerns about technology's cognitive impact.....

DeepMind's Mixture-of-Recursions (MoR) enhances model efficiency via dynamic token routing and recursive depth allocation, outperforming Transformers with fewer parameters. Its selective caching reduces memory pressure, proving especially effective above 360M scale, offering optimized AI deployment solutions.....

ChatExcel launches the desktop version, supporting Mac and Windows systems, enabling local Excel processing and improving work efficiency. The new AI prompt optimization feature automatically standardizes instruction expressions with a magic pen and supports saving frequently used prompts for reuse. Currently, it has over 1 million users, and the product is updated weekly, continuously optimizing user experience. Key highlights: 1) No need for browser operation on the desktop; 2) Intelligent optimization of AI interaction prompts; 3) Prompt collection function for frequently used prompts.

Meitu launches RoboNeo, an AI tool for image editing, brand design, and web creation via natural language commands. It automates tasks like wedding photo retouching, brand kits, and e-commerce content, reducing visual production barriers for SMEs. Initial tests show rapid multi-format output generation within 5 minutes, though lighting details need refinement.....

Mistral AI launched the Devstral2507 series with two AI models: the open-source Devstral Small1.1 (24 billion parameters, SWE-Bench score of 53.6%) and the enterprise version Devstral Medium2507 (score of 61.6%). Small1.1 supports a 128k context window and local deployment, while Medium2507 outperforms some commercial models. Both are optimized for code reasoning and program synthesis, and support integration with agent frameworks.