AI模型

首篇MCP技术生态全面综述：核心组件、工作流程、生命周期

作者

Model Context Protocol (MCP) is a standardized interface aimed at achieving seamless interaction between AI models and external tools and resources, breaking down data silos and enhancing interoperability across different systems. MCP’s core components include the MCP host, client, and server, working together to enable secure and efficient communication with AI applications and external data sources. It covers lifecycle stages like creation, operation, and updates of MCP servers, along with an ecosystem including key adopters such as Anthropic, OpenAI, and community-driven platforms. This protocol also discusses security threats at each stage and proposed mitigation strategies.

Nature发文「智能体摩尔定律」，Agent能力每7个月翻倍，5年后能顶人类苦干一个月的工作

作者

AI智能体在完成50%任务时所需时间每隔约7个月减少一半，研究团队提出了这一现象为‘智能体摩尔定律’，预测未来AI模型可能在2028年或2031年前后能够自动完成人类目前一个月才能完成的任务。