中新社上海12月16日电 (谢梦圆王笈)以"软筑新生态·AI启未来"为主题的2025中国汽车软件大会15日至 16日在上海嘉定举办。现场业内人士普遍认为，软件已成为定义汽车价值、重塑产业格局的核心力量； 在AI(人工智能)驱动下，汽车正从出行工具转变为具有情绪陪伴价值的伙伴，这构成了车企未来的核心 竞争力。 中国一汽研发总院高端汽车集成与控制全国重点实验室基础软件课题组组长李岩认为，软件定义汽车的 时代有一个明显特征，即汽车的价值链从传统的硬件向软件和服务迁移，利润也从单次交付型向全周期 交付型迁移。 以智能座舱为例，依托大模型与多模态识别技术，这类座舱可提供"千人千面"的个性化服务，如识别乘 客身份、记忆驾驶偏好、根据状态自动调节温度等。在潘锦磊看来，人们对"科技服务生活、体验持续 优化"的追求始终不会改变。 他同时指出，从单车智能迈向群体智能是智能汽车未来演进方向之一，这意味着一辆车不仅能独立感知 与决策，更能通过车联网与云端平台，与其他车辆及交通基础设施实时共享信息、协同学习。例如某辆 车在高速路上遇到罕见场景，可即时在云端学习决策，从而实现"人人为我，我为人人"的群体智慧。 (完) （文章来源：中国新 ...

Core Insights - The article discusses the launch of Nextie, a new AI startup founded by Li Di, known as the "father of Xiaoice," focusing on cognitive intelligence rather than emotional computing [5][6][9] - Nextie aims to address cognitive blind spots in individuals and organizations, marking a shift from "knowledge as a service" to "cognition as a service" [6][18] - The company has completed internal testing and plans to officially launch its product within 30 days, with an upcoming funding round expected to raise tens of millions of dollars [8][32] Group 1: Company Overview - Nextie is defined as a multi-agent framework based on collective intelligence and cognitive models, with a founding team that includes former key members from Xiaoice [5][6] - The startup has received initial investment from Qiji Chuangtan, indicating early financial backing [8] - Li Di emphasizes that the transition from Xiaoice to Nextie is a continuation of his work in AI, focusing on cognitive capabilities rather than emotional aspects [9][12] Group 2: Technological Insights - Li Di argues that the future of AI lies in cognitive models that can provide actionable insights, moving beyond mere knowledge accumulation [18][21] - The article highlights the importance of reasoning models, which have shown significant advancements and are now driving over 50% of products in the industry [19][20] - Nextie's approach involves using collective intelligence to enhance cognitive processes, distinguishing it from existing multi-agent frameworks [25][26] Group 3: Market Position and Strategy - Nextie targets individuals and organizations that seek to improve decision-making, particularly in high-stakes scenarios like investment analysis and strategic consulting [32][33] - The startup's unique selling proposition is its focus on "cognitive collisions," which aims to foster constructive discussions rather than simple opinion aggregation [26][27] - Li Di expresses confidence in the market's readiness for Nextie's services, suggesting that the timing is right for their cognitive solutions [33][34]

Core Viewpoint - The article discusses the emergence of Nextie, a new company founded by former Xiaoice CEO Li Di, which aims to explore a different approach to AI that focuses on cognitive models rather than larger models or chatbots [4][5][6]. Group 1: Company Overview - Nextie was established on December 7, with plans for a second round of financing expected to reach several tens of millions of dollars [4]. - The founding team includes key members from Xiaoice, such as co-founder Zeng Min and former Intel architect Wang Wenlan [6]. Group 2: New AI Approach - Li Di emphasizes that Nextie will not continue Xiaoice but will pursue the path that Xiaoice could not complete, focusing on a "cognitive model" rather than a larger chatbot [5][6]. - The cognitive model aims to create a network of agents with different cognitive paths that collaborate to solve complex problems, rather than relying on a single, larger model [7][8]. Group 3: Industry Context - The current AI industry consensus prioritizes larger models and longer contexts, but Li Di argues that this approach does not address the essence of intelligence [8][10]. - The article notes a shift in the industry as companies begin to realize that simply being able to answer questions is not enough; the ability to participate in decision-making and provide structured reasoning is becoming crucial [10][11]. Group 4: Challenges Ahead - Nextie faces several challenges, including acceptance in the capital market, technological maturity, and pressure to establish a viable C-end business model [12]. - The article highlights the tension between the need for innovative approaches and the existing market's focus on traditional metrics like model size and speed [12][14]. Group 5: Vision and Philosophy - Li Di's vision for Nextie is to provide users with a team-like intelligence rather than just enhancing model capabilities, focusing on transparency, independent cognition, and the ability to challenge different perspectives [14][15]. - The approach is characterized by a long-term perspective, acknowledging that the development of such technology may take time and may not be immediately understood or validated by the market [15][16].

Core Insights - The next stage of artificial intelligence (AI) development requires overcoming two major challenges: the Transformer architecture and the backpropagation algorithm [1][7][54] - The focus should shift from larger models to creating "living" models that possess native memory, autonomous learning, and continuous evolution capabilities [2][4][48] - This transition signifies a move from centralized cloud computing to decentralized learning, where each device can contribute to knowledge generation [3][5][70] Group 1: Hardware Awakening - The concept of "hardware awakening" suggests that devices can learn and adapt in real-time, transforming them from mere tools into active intelligent agents [4][64] - A multitude of such intelligent agents collaborating in the real world can lead to the emergence of collective intelligence [5][71] - The current reliance on the Transformer model limits the potential for true intelligence, as it does not facilitate autonomous learning or native memory [21][30][76] Group 2: Redefining Value - The future of AI will redefine the value of hardware, moving beyond traditional metrics like memory and processing power to focus on the co-creation of value between users and devices [64][66] - Users should pay for intelligence rather than token consumption, as the latter is seen as an inefficient model [15][19][21] - The emergence of devices with autonomous learning capabilities will enhance user experience and privacy, as data remains localized [68][69] Group 3: Collective Intelligence - Collective intelligence arises when each device possesses its own intelligence and can learn from the physical world, similar to human collaboration [71][76] - True intelligence is characterized by the ability to generate knowledge rather than merely disseminating it, which is a limitation of current large models [75][77] - The path to general artificial intelligence is through collective intelligence rather than the centralized model exemplified by companies like OpenAI [77]

Core Viewpoint - The article discusses the emergence of a new startup called Nextie, founded by Li Di, who previously created the AI chatbot Xiaobing. The company aims to leverage "collective intelligence" to enhance AI cognition and decision-making processes, moving beyond traditional models. Group 1: Company Overview - Li Di, known for developing Xiaobing, has launched a new company named Nextie, which means "next journey" [4][7] - The core team of Nextie consists of key members from the Xiaobing project, including co-founder Zeng Min and algorithm head Wang Wenlan [4][45] - Nextie is currently planning to raise tens of millions of dollars in funding, with Qiji as one of the investors [5][8] Group 2: Technology and Innovation - Nextie aims to teach AI about "cognition" through a framework of collective intelligence, which allows multiple AI agents to collaborate and debate to reach better conclusions [11][12] - The company has compiled a comprehensive database of human papers from 1800 to 2020 to support its technology development [18] - Nextie's internal product, "Tuanzi," operates in two modes: a sister group for personal issues and a research group for academic inquiries [22][24] Group 3: Product Features - Tuanzi distinguishes itself from traditional AI by showcasing the interactions and debates among AI agents rather than relying on a single reasoning chain [24][30] - The product has achieved state-of-the-art (SOTA) results during internal testing, outperforming existing single large models [31][32] - Nextie plans to adopt a pricing model based on task outcomes rather than token usage, reflecting the varying value of tasks [33][35] Group 4: Future Prospects - The technology testing for Nextie is nearing completion, with a public launch expected on January 7 of the following year [36] - Li Di's transition to Nextie follows his departure from Xiaobing, where he remains a significant shareholder [41][42] - The article draws parallels between Li Di's new venture and Steve Jobs' NeXT, suggesting a potential for significant impact in the AI industry [62][63]

Core Insights - The article discusses the transformation of service robots from novelty items in hotels to standard configurations, emphasizing the need for technology to become a more empathetic partner rather than just a cold tool [1] - The Beijing Smart Hotel Robot Application Competition showcased 26 technology companies, with Beijing Yunji Technology Co., Ltd. winning three major awards, highlighting the warmth and intelligence of technology [1][2] - Yunji Technology's innovative "embodied intelligence + disembodied intelligence + ecological collaboration" framework represents a significant leap from single-function robots to collective intelligence, providing new upgrade ideas for smart hotels [1][7] Competition Overview - The competition featured four core categories: room service, welcoming guidance, cleaning, and entertainment interaction, all based on real hotel service scenarios [2] - 26 participating teams engaged in a rigorous competition format, testing equipment stability and understanding of service essence [2] Performance Highlights - In the room service category, Yunji Technology's robot team demonstrated excellent task execution capabilities, completing full delivery tasks autonomously, including elevator navigation and precise docking [3] - The self-developed HDOS system showcased efficient scheduling capabilities under pressure, intelligently prioritizing service requests and integrating with external systems for automated service delivery [4] Innovations in Service - The cooking robots presented in the entertainment interaction category highlighted the integration of technology in hotel dining services, with products like the intelligent stir-fry robot and coffee robot enhancing the service system [5] - The coffee robot demonstrated a fully automated process from cup retrieval to brewing, working in tandem with delivery robots to redefine hotel dining service boundaries [5] Flexible Robot Utilization - Hotels can dynamically adjust the roles of robots based on time and demand, enhancing utilization rates and return on investment [6] - The HDOS system acts as a central hub for coordinating robot activities, transitioning from individual operations to collaborative efforts [6] Ecosystem Development - Yunji Technology is building an open API ecosystem, integrating robots into the hotel's digital framework, addressing the "last 100 meters" of delivery challenges [7] - The shift from "digitalization" to "intelligent digitalization" in the hotel industry necessitates comprehensive automation solutions, with Yunji Technology's three-in-one architecture providing a replicable transformation path for the industry [7]

Core Points - Recent science carnivals and technology festivals in Beijing schools have showcased immersive experiences and cutting-edge technology to inspire students' innovative potential [1] Group 1: Event Highlights - Jing Tai Primary School hosted its 11th Science Carnival themed "Technology Lights Up Dreams AI Leads the Future," featuring humanoid robots and AI interactions [2] - Students showcased self-developed AI projects, receiving applause for their creativity and technical skills [2] - The event included various interactive activities such as VR space exploration, 3D printing, and robotics challenges, creating an engaging atmosphere [2] Group 2: Technology Demonstrations - Xi Zhongjie Primary School's 12th "Play Smart, Learn Smart, Grow Smart" Technology Festival featured performances like lion dancing and demonstrations of scientific experiments [3] - Students from science and information clubs shared their design ideas and showcased creative results, including a promotional song performed with an AI robot [3] - The festival allowed students to experience technology through hands-on activities, enhancing their understanding of scientific concepts [3] Group 3: Interactive Experiences - The event featured a variety of interactive projects, including AR dressing mirrors, bionic robotic dogs, and brainwave-controlled racing cars [4] - Students engaged in activities that challenged their intelligence and focus, such as AI chess and physics experiments [4] - The atmosphere was lively, with professional guidance provided throughout the activities, allowing students to fully appreciate the charm of technology [4]

Core Viewpoint - The performance of humanoid robots at the opening ceremony of the 15th National Games showcased advancements in robotics technology, particularly in collaborative music performance, highlighting the potential for robots to achieve precision and synchronization comparable to human musicians [1] Group 1: Technology and Innovation - The humanoid robots performed using "bronze jue," an ancient musical instrument, requiring precise control of striking position and force, which poses significant challenges for both humans and robots [1] - The largest bronze jue used in the performance measures 64 cm in height and weighs 40 kg, while the smallest is 36.8 cm tall and weighs 10.75 kg, indicating the scale and complexity of the instruments involved [1] - Achievements in group intelligence, multimodal large models, and "humanoid eyes" stereo vision perception were crucial for enabling the robots to perform accurately [1] Group 2: Performance Metrics - The robots achieved millimeter-level striking precision with an error margin of within 2 mm, and the synchronization error among the three robots was within 10 milliseconds, demonstrating high levels of coordination [1] - The robots were able to strike each bronze jue with a stability and precision that rivals human musicians, showcasing the potential for humanoid robots in performing arts [1]

Core Viewpoint - The performance of humanoid robots playing the ancient bronze musical instrument "Qing Tong Ju Zhi" at the opening ceremony of the 15th National Games showcases advancements in robotics and artificial intelligence, highlighting the potential for robots to perform complex tasks traditionally done by humans [1]. Group 1: Technological Advancements - The humanoid robots demonstrated precise control in playing the "Qing Tong Ju Zhi," achieving millimeter-level striking accuracy with an error margin of within 2 millimeters [1]. - The synchronization of the three robots was impressive, with a movement error of only 10 milliseconds, indicating significant progress in multi-robot coordination [1]. - The technology utilized includes breakthroughs in group intelligence, multi-modal large models, and dual-eye stereoscopic vision perception, which are essential for the robots to perform collaboratively [1]. Group 2: Physical Specifications - The robots varied in size, with the largest measuring 64 centimeters in height and weighing 40 kilograms, while the smallest stood at 36.8 centimeters and weighed 10.75 kilograms [1]. - The engineering team faced challenges in ensuring the robots could work together effectively, which required advanced technological solutions [1].

Core Viewpoint - The article discusses the current state of AI, particularly focusing on the concept of AI Agents, and highlights the industry's obsession with performance metrics, likening it to an "exam-oriented" approach that may overlook the true value of technology [2][7][41]. Group 1: AI Agent Market Dynamics - There is a growing skepticism in the industry regarding the AI Agent market, with many products merely automating traditional workflows under the guise of being intelligent agents, leading to user disappointment [3][9]. - The popularity of AI Agents stems from a collective desire for AI to transition from experimental tools to practical applications that enhance productivity and cognitive capabilities in real-world scenarios [7][10]. Group 2: Technological Evolution - The emergence of large models represents a significant turning point, replacing rigid, rule-based systems with probabilistic semantic understanding, which allows for more dynamic and adaptable AI systems [9][10]. - The relationship between workflows and AI Agents is not adversarial; rather, workflows serve as a foundational stage for the development of true AI Agents, which will evolve beyond traditional automation [10][11]. Group 3: Future Directions and Challenges - The future of AI Agents is oriented towards results rather than processes, emphasizing the need for agents to be capable of autonomous judgment and dynamic adaptation [13][40]. - The concept of "group intelligence" is being explored as a potential alternative to the current arms race in large model development, focusing on collaboration among smaller agents to tackle complex tasks [17][18]. Group 4: Open Source and Community Engagement - The company emphasizes the importance of open-source practices, believing that collective intelligence can accelerate AI development and foster a community-driven approach to innovation [32][33]. - Open-source contributions are seen as vital for sharing insights and advancing the understanding of AI technologies, rather than just providing code [35][36]. Group 5: Practical Applications and Long-term Vision - The company aims to develop AI Agents that can operate independently over extended periods, tackling long-term tasks and adapting to various environments to enhance their learning and capabilities [39][40]. - The ultimate goal is to create a continuously learning model that serves as a technical product, allowing the community to benefit from technological advancements without being overly polished for consumer markets [40][41].