Cursor自动挑模型：满意度接近Fable，成本低60%
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Notion is launching a public beta test of the Claude and Cursor agents: Kanban-based direct task assignment and support for external subscriptions.
According to Beating, Notion announced a public beta of its External Agents platform in its Business and Enterprise programs, supporting the integration of Anthropic's Claude and AI programming tool Cursor into team collaboration dashboards. Teams can @ agents within the Notion workspace, similar to mentioning colleagues, or directly assign tasks on task boards, allowing AI to automatically collaborate in the background to complete tasks such as code writing, data analysis, and content generation. For general office users, the newly beta Claude agent runs on the Anthropic Managed Agent (CMA) architecture. Users do not need to configure complex API keys and can pay directly using Notion credits per run. After assigning task cards to agents, the model can autonomously read related documents and execute multi-step planning. However, it should be noted that because the CMA architecture operates in a stateful manner, Notion's existing Zero Data Residue (ZDR) commitment does not apply to Claude agents; session data will remain on the server side. For development teams, Notion has opened up an External Agent interface. Users can bind their locally running Cursor agent to a Notion workspace. For example, after assigning a coding task on a Notion Kanban board, Cursor will use the user's personal subscription to complete the code development and submit a Pull Request in the local runtime environment. Finally, it will automatically write the execution results and PR link back to the Notion task page, achieving development automation with zero Notion points consumption.
Google's flagship model, Gemini 3.5 Flash, natively supports PC control, unlocking enterprise-level intelligent agent automation.
According to Beating's monitoring, Google has integrated the Computer Use functionality as a built-in tool directly into its main model, Gemini 3.5 Flash. Before native integration, developers had to use a dedicated Gemini 2.5 Computer Use model to execute agent tasks. With native integration, developers and enterprise users can directly control devices through the Gemini API or the Google Cloud Gemini Enterprise Agent Platform (formerly Vertex AI platform), simplifying agent development architecture. The built-in Computer Use tool receives screenshots from browsers, mobile devices, or desktop environments, performs visual perception and step-by-step reasoning, and then outputs operation commands such as mouse clicks, keyboard input, scrolling, and menu navigation to complete long-process automated tasks such as continuous software testing and cross-web data collection. To facilitate debugging and auditing, the model generates commands with an "intent" field to explain the logic of each operation. To address the risk of tooltip injection that agents may encounter in real-world network environments, Google has conducted targeted adversarial training on its models and provides two optional safeguards: mandatory human approval for irreversible operations such as payments and file deletions; and automatic task termination if indirect injection commands are detected in screenshots. Browserbase currently offers an online hosted demo environment (gemini.browserbase.com), and Google has also open-sourced a reference implementation called computer-use-preview on GitHub.
The adoption rate of artificial intelligence in my country's large-scale industrial enterprises has exceeded 30%.
According to Mars Finance, the 2026 World Artificial Intelligence Conference and High-Level Meeting on Global Governance of Artificial Intelligence will be held in Shanghai from July 17th to 20th. Gan Xiaobin, Deputy Director of the Science and Technology Department of the Ministry of Industry and Information Technology, stated at a press conference in Shanghai on July 7th that the total annual output of humanoid robots is expected to exceed 100,000 units this year. Manufacturing is the main battleground for the application of artificial intelligence. Currently, the application rate of artificial intelligence in my country's large-scale industrial enterprises has exceeded 30%, and humanoid robots are beginning to "enter factories and workshops." The Ministry of Industry and Information Technology is currently working with various parties to implement special actions such as "Modal-Digital Resonance" and "Humanoid Robots and Embodied Intelligence Real-Scene Training" to explore high-value application scenarios. During the conference, the China-BRICS Artificial Intelligence Development and Cooperation Center will release the "International Artificial Intelligence Ethics Governance Action Plan." (Cailian Press)
B.AI Team Gray-Scale Test Launched: Empowering Enterprises with AI, First Batch of Experience Teams Recruiting
ChainCatcher reports that B.AI has officially announced that its team-level AI collaboration product, "B.AI Team," has entered its first phase of gray-scale testing, and simultaneously launched a global open recruitment for the first batch of experience teams. This version focuses on addressing pain points in enterprise-level AI collaboration, introducing a shared Credits points pool to achieve unified scheduling and cost visualization management of team computing resources; it also provides a flexible multi-level member permission system, supporting fine-grained configuration of model usage strategies based on roles, truly adapting AI capabilities to the collaboration processes of different teams. Starting today, teams interested in gaining an early advantage can submit their requirements through the official application link, along with a brief description of their core use cases; after approval, the B.AI team will immediately assign a dedicated person to connect with them, and will provide priority access rights when the official version is launched, helping teams to be among the first to enjoy the new intelligent collaboration experience.
Beijing: Supporting enterprises to purchase and consume tokens for artificial intelligence applications
Mars Finance reported on June 17th that the Beijing Municipal Bureau of Economy and Information Technology issued "Several Measures of Beijing Municipality on Supporting Industrial Enterprises to Improve Quality and Efficiency," which proposes to promote the intelligent upgrading of enterprises. It guides industrial enterprises to deepen cooperation with industrial internet platform enterprises and artificial intelligence model enterprises, and promotes enterprises to accelerate the transformation of application models such as platform-based design, intelligent production, networked collaboration, and digital management. Addressing the difficulties enterprises face in acquiring computing power, implementing applications, and enhancing capabilities, it focuses on optimizing the deployment of computing power resources and enriching the inclusive supply of computing power services. It supports enterprises in purchasing and consuming tokens to carry out artificial intelligence applications, and provides financial support to eligible enterprises based on their actual token usage. (Beijing Municipal Bureau of Economy and Information Technology)
Microsoft is building a new team of approximately 6,000 people to help businesses deploy artificial intelligence at both the technology and strategic levels.
According to Beating's monitoring, Microsoft is assembling a new team of approximately 6,000 people dedicated to assisting enterprises in deploying artificial intelligence at the technical and strategic levels. Team members come from engineering, corporate training, management, and vertical industry backgrounds, and will be more deeply involved in client projects, helping to optimize model selection, reduce the cost of AI usage, and in turn influence Microsoft product iterations. Traditionally, such low-margin implementations are mostly handled by consulting firms, but in the AI phase, vendors including Palantir, Salesforce, and OpenAI have begun to send engineers to their clients, and Amazon Cloud announced a similar initiative this week. --------------------------------- Click the original link below to join Beating's AI news channel on Lark, monitoring global AI hotspots and news 24/7.