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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.

The StepZen team announced that their latest generation foundational large model, Step3, is officially open-sourced. Step3 is a model designed for enterprises and developers who pursue the optimal balance between performance and cost, aiming to create the most suitable model for the inference era. The open-source address of this model includes GitHub, Hugging Face, and ModelScope, allowing developers to freely download and experience it. Step3 adopts an MoE architecture, with a total parameter count of 321 billion and an activated parameter count of 38 billion. It

Tencent's X-Omni AI model integrates reinforcement learning to unify image generation and understanding, outperforming rivals in text rendering and visual tasks without classifier guidance.....

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.

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.....

Google upgrades the Imagen4 image generation model. Imagen4Ultra ranks third globally in authoritative rankings, with performance close to GPT-4o and Seedream3.0. The new version significantly improves image details, realism, and style consistency, and handles complex prompts more accurately. It has a clear price advantage, with the standard version at $40 per thousand images and the Ultra version at $60 per thousand images, far lower than GPT-4o's $167. The generation speed is 9.5 seconds per image, faster than GPT-4o but slightly slower than Seedream3.

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.

Alibaba opensources the video generation model Tongyi Wanxiang Wan2.2, which includes three core models: text-to-video, image-to-video, and unified video generation. Innovations include: 1) the first MoE architecture in the industry, improving computational efficiency by 50%; 2) a cinematic aesthetic control system, enabling precise control over lighting, color, and other cinematic effects; 3) a 5B small-sized unified model that can be deployed on consumer-grade GPUs. This series of models has been open-sourced on platforms such as GitHub, with over 5 million downloads, significantly lowering the barrier to AI video generation.

At the 2025 World Artificial Intelligence Conference (WAIC), Baidu presented multiple innovative achievements and latest developments in the field of artificial intelligence. During the conference, Baidu announced that its Apollo Go, PaddlePaddle Deep Learning Platform, and Baidu Intelligent Computing Cluster have been selected for the China Artificial Intelligence Industry Innovation Exhibition. Among them, Apollo Go not only exhibited as an item but also served as a shuttle vehicle for the conference, demonstrating the mature application of its autonomous driving technology. Currently, Apollo Go has provided over 11 million travel services worldwide, with safety driving mileage exceeding 1

iFlytek's upgraded Spark X1 model enhances translation, reasoning, and text generation, achieving top-tier global performance with 20% better translation quality. It scores over 80 in EN-CN conference translation, reduces AI hallucinations, and boosts efficiency for 100+ firms by 50%. Available via web, app, and API.....

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.....

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.

Google Photos introduces AI features to turn static photos into 6s videos with artistic styles, powered by Veo2 and Imagen models. Features include digital watermarks and are rolling out in the US, with Remix coming soon.....

Kuaishou and Shanghai Jiao Tong University announced the open-source multimodal generation model Orthus at the ICML conference. The model is based on an autoregressive Transformer architecture and demonstrates excellent performance in text-image conversion tasks, with significantly improved computational efficiency compared to existing models. Orthus uses a unique architectural design, separating processing of text and image features through specific modal generation heads, and efficiently fusing them in a unified representation space. Research shows that the model outperforms professional models in image understanding and text-to-image tasks, while also demonstrating strong potential in application scenarios such as image editing, making it a breakthrough in multimodal generation.

Fogsight is an AI animation engine based on LLM that can convert abstract concepts into teaching animations with one click. Users can input keywords to generate short videos with bilingual voiceover and cinematic visual effects, lasting 30-90 seconds, suitable for teaching in subjects such as mathematics and physics. Its core advantage lies in intelligent arrangement throughout the entire process, lowering the production barrier. It supports local deployment and open-source customization, but there is still room for improvement in handling complex scenarios. Compared to competitors like Animaker, Fogsight focuses more on concept-driven generation for educational scenarios. It is already being used in classrooms and online

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

AMD and Tensorstack jointly launch AI image generation software Amuse 3.1, optimized for devices equipped with Ryzen AI XDNA2NPU. The new version significantly improves image quality and reduces memory usage, allowing SD3.0 medium models to run on 24GB RAM laptops. The software uses a no-subscription model, offering free use for individual users and small businesses. Key features include fast image iteration adjustments, local offline generation, and image resolution doubling through XDNA2NPU technology.