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Beijing, August 2, 2025 — 360 Group announced yesterday that its Nano AI has completed a brand renewal and officially upgraded to the world's first L4-level multi-agent swarm system, marking the era of delivering artificial intelligence results from 'individual combat' to 'group collaboration'. The system enables over 50,000 L3-level intelligent agents with deep reasoning capabilities in vertical fields to freely form groups, nest in multiple layers, and dynamically team up like a bee swarm, continuously executing over 1,000 complex steps for two hours without interruption, with single-task consumption t

AI startup Creao AI has completed two rounds of funding, totaling several million dollars, led by top-tier venture capital firms such as Monolith. The company focuses on developing the next-generation operating system Agentic OS (AOS), centered around AI Agents, which can generate full-stack intelligent applications through conversation. Founder Cheng Kai stated that AOS will build a digital production network and improve the efficiency of multi-agent collaboration. Investors believe that AOS will reshape human-computer interaction and lower the technical barriers. The team comes from tech giants such as Meta and Apple, and the funding.

Amazon CEO Andy Jassy plans to integrate ads into AI assistant Alexa+, recommending products via dialogue. Despite user enthusiasm for Alexa+'s upgrade, AI ad chats are novel. Google and OpenAI are also exploring AI ads. Amazon has invested $31.4B in AI, focusing on chips and data centers, while tackling challenges like AI hallucinations and privacy.....

OpenAI launches 'Stargate Norway', its first European AI data center in Narvik. Powered by renewables, it will deploy 100K NVIDIA GPUs by 2026, using liquid cooling and heat recycling. Prioritizing Norwegian startups, it supports Europe's AI innovation and Norway's sovereign AI strategy.....

Reddit users revealed ChatGPT bypassed Cloudflare's CAPTCHA, mimicking human mouse movements. This breakthrough challenges behavior-based verification systems, raising concerns about AI security risks and the need for smarter defenses.....

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 intelligent agent economy is reshaping the future business ecosystem, with its core being a new economic form built on multi-agent collaborative architecture (IA). Three pillars support this transformation: Decentralized Identifiers (DID) ensure the credible existence of agents as digital citizens; standardized communication protocols (such as MCP) enable seamless collaboration among agents across domains; data containers combined with privacy computing technologies ensure secure data flow. Blockchain and smart contracts form the underlying trust system, driving the creation of a decentralized value network. Agent factories achieve scalable production of agents through modular manufacturing.

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.....

Volc Engine launched new models and service upgrades in the Dabao series at the Xiamen AI Innovation Tour: 1) Introduced the Image Editing 3.0 model, supporting natural language photo editing; 2) The Simultaneous Interpretation 2.0 model reduces latency to 2-3 seconds and supports voice replication; 3) Upgraded the Dabao large model 1.6 series, with the ultra-fast version TPOT taking only 10ms and reducing costs by 70%; 4) Open-sourced core capabilities of the Kousi development platform, which received over 10,000 stars in three days; 5) Launched an enterprise-owned model hosting solution, simplifying the deployment process. These upgrades provide full-stack support for enterprise AI applications, accelerating implementation.

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.

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

The SWE-bench team has launched a lightweight open-source project called mini-SWE-agent, which can fix 65% of GitHub project bugs with just 100 lines of code. This version simplifies the architecture, removes complex tool interfaces, and executes commands through Bash, offering better compatibility and fewer dependencies. While retaining the core functions of the original version, it provides tools such as batch inference and a trajectory browser, supporting command-line startup and visual monitoring. The team states that mini-SWE-agent is suitable for developers who prefer simplicity, while the original version is more appropriate for others.

Pudong New Area launched a seed fund with a total scale of 2 billion yuan for artificial intelligence. The first phase is 500 million yuan, making it the first state-owned capital venture capital fund in China focusing on the pre-seed stage. It has signed 18 projects. The AI industry scale in Pudong exceeds 160 billion yuan, accounting for 40% of the city, and has gathered more than 200 specialized model enterprises. In the future, five major measures will be implemented: releasing over 30 application scenarios, building a heterogeneous robot training field, establishing a full-cycle fund matrix, optimizing industrial policies, and providing talent services. The goal is to add 1,000 AI companies within three years, and the core output value will exceed 200 billion yuan, aiming to build a comprehensive AI ecosystem.

Kingsoft Office launches WPS AI 3.0 Lingxi, upgrading office AI from a tool to an intelligent assistant. This version adopts a native Office intelligent agent design, supporting natural language multi-turn dialogue for document creation, PPT generation, and other functions, achieving seamless collaboration with a split-screen interface. Its core advantages include multi-turn dialogue, controllable modifications, and format retention, especially supporting real-time editing while chatting for PPT creation. The simultaneous release of the WPS Knowledge Base and AI search features further enhances the intelligent office ecosystem. Kingsoft Office stated that this marks the beginning of an era where everyone has an A

PPIO launched China's first Agentic AI infrastructure service platform at the 2025 World Artificial Intelligence Conference, including a general edition and an enterprise edition. The general edition offers a cost-effective distributed GPU cloud foundation and an Agent sandbox compatible with E2B interface, reducing development costs; the enterprise edition is tailored for large enterprises, offering functions such as intelligent decision-making and controllable processes. The platform ensures code reliability through secure sandbox technology, reducing operational costs by 50%, and supports ultra-long context output. PPIO has successfully developed smart education solutions for international schools.

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.

SenseTime brings its 'Wuneng' Embodied Intelligence Platform to the forefront, bringing new forces of change to the field of intelligent terminals. The 'Wuneng' Embodied Intelligence Platform is powered by SenseTime's Embodied World Model as its core engine, with SenseTime's large-scale facility providing solid computing power support on both the edge and cloud sides. With this powerful combination, the platform enables robots and smart devices to achieve outstanding perception, visual navigation, and multimodal interaction capabilities, driving intelligent terminals toward higher levels of autonomy and intelligence.

Tencent unveiled the 1+3+NAI comprehensive system at the 2025 World Artificial Intelligence Conference, with the Hunyuan large model as its core, launching innovative technologies such as the Hunyuan 3D World Model and the embodied intelligence platform Tairos. The system includes three platforms: an intelligent agent development platform for B/C ends, an embodied intelligence platform in the robotics field, and an AI application matrix covering multiple industries, comprehensively showcasing Tencent's AI strategic upgrade. By driving with core models and combining with diverse applications, it provides a complete solution for AI industrialization.

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.