Open AAI has delivered on their promise to release a state-of-the-art open-source model. This is GPTOSS. Now, I think the mystery model Horizon Alpha that was on Open Router is actually this open source model from OpenAI, although they have not confirmed that to me, but we do have an incredible model.Let me tell you about all the details. So, first it comes in two sizes, a 120 billion parameter version and a 20 billion parameter version. These are state-of-the-art openweight language models.Open weight. So ...

Core Insights - The emergence of the Model Context Protocol (MCP) is seen as a significant advancement in AI development, allowing for easier integration of external data sources and tools, thereby enhancing the efficiency of AI applications and agents [3][5][9] - Major tech companies, including Alibaba, Baidu, Tencent, and ByteDance, are actively adopting and promoting MCP, indicating a competitive landscape for AI agent development [9][10][11] Group 1: MCP Overview - MCP is likened to a "universal socket" for AI, enabling seamless connections between large models and external tools, which significantly reduces development costs and time [3][5][8] - The protocol was initially introduced by Anthropic in November 2022 but gained traction with the launch of the Manus AI agent in February 2023, showcasing the potential of MCP [7][13] - The adoption of MCP is expected to transform AI agents from simple information retrieval systems to more complex applications capable of executing tasks [8][12] Group 2: Industry Adoption - As of April 2025, various tech giants have integrated MCP into their services, with Baidu being the first to offer an enterprise-level MCP service [3][9] - Alibaba Cloud has launched a comprehensive MCP service that integrates over 200 leading models and nearly 100 mainstream MCP services, facilitating easier development of AI agents [10][12] - The introduction of payment MCP services by Alipay further enhances the capabilities of AI agents, allowing for streamlined transaction processes within applications [11][12] Group 3: Future Developments - The MCP ecosystem is still evolving, with ongoing improvements and adaptations expected as the technology matures [13][15] - The competition between MCP and other protocols, such as Google's Agent2Agent Protocol (A2A), highlights the dynamic nature of AI integration standards [14][15] - Industry experts believe that while MCP may face challenges, its foundational role in AI development will continue to be significant as it evolves [15][16]

以下文章来源于智能涌现 ，作者邓咏仪 智能涌现 . 文 ｜ 邓咏仪 编辑 ｜ 苏建勋 来源｜ 智能涌现（ID： AIEmergence） 封面来源 ｜ AI生成 大模型的风，如今又刮到了一个新名词上：MCP。 AI圈中不缺新鲜事，但这次不一样，互联网仿佛又回到了十多年前的春天。 "现在，基于MCP开发智能体，就像2010年开发移动APP。" 4月25日，百度 董事长李彦宏在百度Create大会上说到。 如果还没有听过MCP，但你肯定听过上一个热词：Agent（智能体）。2025年初，中国初创公司Manus的爆火，把这个名词瞬间推到了大众面前。 "真·能干活的AI"，是Agent爆火的关键。在这之前，大模型可以答疑解惑，但它只是一个简单的对话窗口，依赖于模型接受过的训练，大模型内的数据往 往不是最新的，如果只有大模型本体，调用外部工具，要经历非常繁琐的过程。 MCP这个概念，就和Agent密不可分。 MCP是Agent愿景得以实现的的重要路径——大模型可以自由地调用支持MCP协议的外部工具，完成更具体的任 务。 现在，包括高德地图、微信读书在内的应用，就已经纷纷推出官方的MCP Server（服务器），这意味着 ...

Core Viewpoint - The emergence of MCP (Model Context Protocol) is seen as a pivotal development in the AI industry, akin to the rise of mobile apps in 2010, enabling more efficient interactions between large models and external tools [1][2]. Group 1: Definition and Importance of MCP - MCP is an open standard that allows large models to interact with external data sources and tools, similar to a universal interface like USB [6][12]. - The adoption of MCP is expected to lead to a significant explosion in AI applications by 2025, as it simplifies the development process for AI applications [5][12]. Group 2: Current Trends and Adoption - Since February 2024, a global wave of MCP adoption has occurred, with major companies like OpenAI, Google, and others announcing support for the protocol [2][16]. - Over 4,000 MCP servers have been launched globally, indicating rapid growth in the ecosystem [12]. Group 3: Developer Experience and Challenges - Prior to MCP, developers faced high barriers in integrating external tools with large models, often requiring extensive coding and adaptation [10][11]. - With MCP, developers can focus on maintaining their applications rather than managing external tool performance, significantly reducing development workload [12][13]. Group 4: Competitive Landscape and Strategic Shifts - The shift towards MCP represents a strategic pivot for major AI companies, moving from isolated development to a more collaborative ecosystem [17][21]. - OpenAI's previous closed strategy has been contrasted with MCP's open approach, highlighting the advantages of a more inclusive development environment [18][21].