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The Aliyun Tongyi Lab open-sources the WebAgent intelligent agent project, which includes two core components: WebShaper and WebSailor. WebShaper addresses AI reasoning challenges using a formal-driven data synthesis method. The WebSailor-72B model surpasses most closed-source models in the BrowseComp evaluation. The project builds a complete ecosystem through the WebDancer training framework and WebWalker evaluation tool, supporting complex data crawling and analysis within 10 minutes. After open-sourcing,

OWL team open-sourced Eigent, a multi-agent collaboration tool based on CAMEL and OWL frameworks. It enhances complex task efficiency via parallel sub-task processing, supports multiple LLMs and data integration, and promotes community development with modular design and standardized protocols.....

On July 30, Kunlun Infinite officially launched and open-sourced the autoregressive multi-modal unified pre-training model Skywork UniPic. The model integrates three core capabilities - image understanding, text-to-image generation, and image editing - in a single architecture. It demonstrates excellent generality and transferability through end-to-end pre-training on large-scale high-quality data.

Shanghai AI Lab releases the open-source scientific multimodal large model Intern-S1, surpassing existing top models in scientific research fields such as chemistry and materials. The model has cross-modal scientific analysis capabilities, able to interpret complex data such as molecular formulas and protein structures, and also launches a dedicated scientific discovery platform called Intern-Discovery. Intern-S1 will promote the development of multi-agent disease research systems and continue to open-source to support scientific progress.

Tencent launches the world's first open-source 3D world generation model, Hunyuan 3D 1.0, supporting 360° high-precision scene generation and interactive exploration. This model significantly lowers the barrier to 3D creation through AI technology, enabling immersive scenes to be generated quickly from a single image or text. It offers 20 free experiences per day. Its open-source nature empowers developers worldwide and is applicable to multiple fields such as gaming, VR, and film. The project has over 12,000 stars on GitHub. This technology advances 3D generation from object-level to world-level, redefining content production processes. It has the potential to drive innovations in gaming and digital worlds in the future.

Alibaba's WebSailor, an open-source AI agent framework, excels in BrowseComp-en/zh and SimpleQA tests. Features knowledge graph-based task generation and reinforcement learning with RFT/DUPO. Introduces data obfuscation for enhanced AI training.....

ByteDance officially launched its highly anticipated AI Agent development platform 'Coze', and announced that the platform is open-source and supports commercial applications. With its powerful features and user-friendly interface, the platform has quickly received over 6,000 stars on GitHub, becoming a new favorite in the developer community.

ByteDance open sources the lightweight multilingual translation model Seed-X, which supports bidirectional translation in 28 languages and demonstrates performance comparable to top-level large models. This 7-billion-parameter model is based on the Mistral architecture and focuses on translation optimization, showing excellent performance in multiple areas. It uses an innovative training strategy to generate high-quality data and optimize deployment efficiency. This is another open-source project from ByteDance following BAGEL and Seed-Coder, promoting advancements in AI translation technology.

Google has officially launched an AI news summary feature on its Discover platform, sparking concerns within the media industry about traffic loss. The feature is now available on iOS and Android in the United States, replacing traditional news titles and source indicators with three-line AI summaries, primarily covering popular topics such as sports and entertainment. The summaries will indicate the number of sources and warn of potential errors, but the publishing industry is worried that this will worsen the Google Zero phenomenon—users can obtain key information without clicking on the original article, leading to a decrease in website traffic and advertising revenue. Previously, Google had already implemented similar features in search.

Google's AI summaries in search raise publisher traffic concerns. The feature, now live in the U.S., generates news snippets with citations, mainly for trending topics. While Google claims it helps users filter content, publishers report organic traffic drops as non-click searches rose from 56% to 69% since May. Despite new monetization efforts like Offerwall, traffic decline persists. Media reactions remain mixed as outlets like WSJ explore AI a....

Google DeepMind open sources the GenAI Processors Python library, helping developers build efficient generative AI workflows. The library supports asynchronous processing of multimodal data and optimizes Gemini API application development, significantly reducing latency in real-time applications. Core features include a modular Processor interface, streaming API design, and concurrency optimization, enabling rapid development of real-time applications such as intelligent assistants. Currently only supports Python, but with an open community contribution model, future plans include expanding functionality to cover more scenarios.

SEO experts found ChatGPT may cite unreliable sources in business recommendations, including hacked or expired domains. Hackers exploit high domain authority to mislead AI. Users should verify AI suggestions and developers must improve content filtering.....

Alibaba open sources the audio generation model ThinkSound, which supports multimodal inputs such as video, text, and audio, and can automatically generate high-fidelity sound effects that highly match the visuals. The model uses chain reasoning technology to achieve precise synchronization between audio and video, and is applicable to fields such as film and games. As an open source project, ThinkSound lowers the barriers to sound effect creation, and developers can freely access it through multiple platforms. This is Alibaba's latest breakthrough in the field of multimodal AI, and will drive the development of sound generation technology.

Alibaba opens WebSailor AI agent (32B/72B), outperforming closed-source models. Galaxy Securities highlights AI Agent economy growth, citing firms like Focus Tech and JinCai Tech. Open-source lowers entry barriers, accelerating industry progress.....

Google releases the open-source tool MCP Toolbox for Databases, simplifying the integration of AI agents with SQL databases. The tool connects to a database with just 10 lines of code and supports secure mechanisms such as connection pool management, authentication, and schema introspection. It is compatible with various Google Cloud databases. As an open-source project, it lowers the development barrier, but currently mainly supports Google ecosystem databases. Future expansion of compatibility may be needed. This tool has the potential to become a standard component for AI development, driving intelligent data processing.

Aliyun open-sources the network agent WebSailor. Its 32B and 72B versions performed well in the BrowseComp evaluation, surpassing multiple closed-source models, ranking just behind OpenAI DeepResearch. The project has been released on GitHub with construction plans and datasets, promoting open innovation in the AI field and providing developers with a smarter web interaction tool.

ByteDance open-sourced Trae-Agent, an LLM-based AI tool for software engineering tasks via natural language commands. Currently in alpha, it supports CLI and integrates multiple tools/LLM services. Aiming to foster an AI agent ecosystem, the GitHub project invites developer contributions.....

On July 4, 2025, Kunlun Xiwang continued to open-source the second-generation reward model Skywork-Reward-V2 series. This series includes 8 reward models based on different foundation models, with parameter sizes ranging from 600 million to 8 billion. Upon its release, it won all seven major reward model evaluation rankings, becoming a focus in the open-source reward model field. Reward models play a key role in the reinforcement learning from human feedback (RLHF) process. To build the next generation of reward models, Kunlun Xiwang has constructed a dataset containing 40 million