经济观察报·2025-11-13 11:18Core Viewpoint - The article emphasizes the importance of integrating AI capabilities into businesses and personal growth, highlighting that AI should be seen as a driving force for development rather than a cost [1][22]. Group 1: AI Capabilities and Applications - Baidu showcased its full-stack AI capabilities at the Baidu World 2025 Conference, demonstrating various AI applications that can significantly enhance efficiency and reliability for enterprises [2][12]. - The launch of Baidu's self-evolving super-intelligent agent, "伐谋," aims to optimize complex decision-making across various industries, showcasing its effectiveness in real-world applications [5][8]. - Baidu's "慧播星数字人" has proven its commercial value, achieving over 1,300 million views and generating more than 55 million yuan in GMV during its debut, indicating the reliability of digital human technology [9][10]. Group 2: Technological Advancements - Baidu introduced new products in its Kunlun chip series, which are designed to support large-scale AI tasks, with the M100 and M300 chips expected to launch in 2026 and 2027, respectively [12][15]. - The "文心" model has reached a parameter count of 2.4 trillion, showcasing advanced capabilities in multi-modal understanding and generation, positioning Baidu at a global leadership level [15][16]. - Baidu's AI technology stack includes significant advancements across four layers: chip, framework, model, and application, with each layer contributing to end-to-end optimization and efficiency [12][16]. Group 3: Industry Impact and Future Directions - The AI industry is transitioning from a focus on parameters to effectiveness, with companies now prioritizing the tangible value AI can deliver to businesses [19][21]. - Baidu has established a clear application path for AI, focusing on three main areas: replacing repetitive labor, providing unlimited productivity, and surpassing human cognition [21][22]. - By opening its AI capabilities to global enterprises, Baidu aims to empower businesses and individuals to internalize AI, fostering a collective advancement in the industry [22].