◎科技日报记者 于紫月 在近日落下帷幕的第十五届全国周培源大学生力学竞赛中，一位特殊的"考生"吸引了人们目光。由清华 大学航天航空学院团队自主研发的人工智能力学求解系统"GT-Mech"，与来自全国500余所高校的3万余 名考生同台竞技，最终成绩达到本届赛事成绩前五名的特等奖水平，展现出不俗解题能力。 据了解，这是全球范围内大型语言模型驱动的AI系统首次以"参赛选手"身份，在同场、同时、同卷的标 准下，参与国家级顶级力学赛事。这一突破，不仅展示了AI解决力学问题的潜力，也为未来教育模式 变革提供了思路。 "我们主要从三方面入手攻克技术难关。"团队核心成员周懿介绍，首先是构建结构化知识体系。团队 为"GT-Mech"构建了专有化的力学知识图谱，将经典教材、题库等海量知识编织成一张结构化语义网 络，使AI能像人类专家一样迅速调用相关知识，形成专业可靠的解题框架。 其次是融合逻辑推理和符号计算。团队引入"逻辑推理—符号计算"双核引擎，"GT-Mech"首先用自然语 言规划解题思路，再调用内嵌的符号计算引擎完成公式推导和计算。这种模式有效结合了AI的逻辑规 划能力与符号计算的准确性，显著降低了求解过程中出现低级错误的 ...

Core Insights - Major tech companies like Nvidia and Meta are aggressively recruiting top Chinese AI talent to maintain their leadership in the AI sector [2][6][18] - Nvidia's CEO Jensen Huang personally recruited two prominent Chinese AI researchers, Banghua Zhu and Jiantao Jiao, who co-founded the AI company Nexusflow [2][8] - Meta has successfully hired four leading Chinese AI scholars from OpenAI, indicating a fierce competition for AI talent among tech giants [2][15][18] Group 1: Talent Acquisition - Nvidia appointed Banghua Zhu as its Chief Research Scientist and Jiantao Jiao as part of its Star Nemotron team, highlighting the company's strategy to integrate top talent [2][11] - Meta's recruitment of Shuchao Bi, Jiahui Yu, Hongyu Ren, and Shengjia Zhao from OpenAI reflects a broader trend of tech companies targeting high-caliber AI researchers [15][18] - The competition for AI talent is intensifying, with companies offering substantial financial incentives, including reports of signing bonuses reaching $100 million [17][18] Group 2: Industry Dynamics - The global AI landscape is becoming increasingly competitive, with OpenAI's leading position being challenged by emerging models from companies like DeepSeek and Google [6][24] - Major tech firms have invested over $100 billion in AI, indicating a significant strategic commitment to this sector [6][24] - The recruitment of top talent is seen as a critical factor in the ongoing "asymmetric war" in the AI industry, where larger companies have more resources [6][24] Group 3: Company Strategies - Nvidia's acquisition strategy includes not only hiring talent but also acquiring companies like Nexusflow to consolidate technological expertise [12][22] - Meta's investment in Scale AI and the recruitment of its founder to lead a new research lab demonstrates a proactive approach to enhancing its AI capabilities [19][22] - Nvidia's recent acquisitions and investments in AI-related startups have significantly increased, with over 50 financing activities and a total investment exceeding $1 billion in 2024 [20][22] Group 4: Future Outlook - Analysts predict Nvidia will dominate the AI data center chip market, holding an estimated 80%-85% share, with projected earnings per share increasing to $7.23 by 2027 [23][24] - The potential market capitalization of Nvidia could reach $5 trillion, driven by advancements in AI technology and infrastructure [24] - The U.S. government's focus on AI as a strategic technology is expected to accelerate domestic AI ecosystem development, with plans for significant investments and regulatory adjustments [25][26]

Core Insights - The article discusses the imminent arrival of a technological singularity driven by advancements in AI, particularly through systems like GPT-4 and o3, which are expected to significantly enhance productivity and quality of life [3][10] - It emphasizes the transformative potential of AI in various sectors, predicting that by 2030, individuals will be able to accomplish far more than they could in 2020, marking a significant leap in capabilities [5][6] Group 1: AI Advancements and Impact - AI has already surpassed human capabilities in many areas, leading to increased efficiency and productivity [3][10] - The emergence of cognitive agents and advanced systems is anticipated in the coming years, fundamentally changing programming and creative processes [4][10] - By 2030, the amount of work one individual can accomplish is expected to exceed that of 2020, indicating a transformative shift in workforce capabilities [5][6] Group 2: Societal Changes and Adaptation - The 2030s are predicted to be a period of unprecedented change, with both familiar and novel experiences coexisting [6][7] - As digital intelligence becomes ubiquitous, society will adapt to new expectations and capabilities, leading to a redefinition of work and creativity [7][10] - The article suggests that while some jobs may disappear, new opportunities will arise, leading to overall societal wealth and innovation [11][13] Group 3: Self-Acceleration and Economic Value - The efficiency of scientists has reportedly increased two to three times, enabling faster AI research and development [9][10] - The economic value generated by AI is expected to drive continuous investment in computational infrastructure, creating a self-reinforcing cycle of innovation [9][10] - Automation in data center production will lead to a significant reduction in the cost of intelligence, making it as affordable as electricity [11][14] Group 4: Governance and Ethical Considerations - Addressing alignment issues in AI systems is crucial to ensure they understand and execute human intentions effectively [13] - The article highlights the importance of making superintelligence widely accessible and not overly concentrated among individuals or corporations [13] - A global dialogue on societal consensus regarding AI governance is deemed essential for maximizing benefits while minimizing risks [13][14]

Group 1 - Meta is seeking to raise up to $29 billion from private equity firms to build AI data centers in the U.S., marking a significant push into the AI sector [1] - The company plans to raise $3 billion in equity and $26 billion in debt, with discussions ongoing on structuring this massive debt financing [1] - Meta's CEO Mark Zuckerberg is significantly increasing investments in AI, having previously lagged behind competitors, and has announced a $15 billion investment in data labeling startup ScaleAI [2] Group 2 - Meta's capital expenditure forecast for the year has been raised by up to 10% to $64 billion to $72 billion, citing additional AI data center investments and increased infrastructure hardware costs [2] - The trend of tech giants partnering with private equity firms to share investment risks is growing, with other companies like OpenAI also seeking substantial funding for data center projects [3] - Private investment firms are increasingly being relied upon by blue-chip companies to avoid excessive pressure on their balance sheets from large capital projects [3]

Core Viewpoint - The Central Economic Work Conference emphasizes the integration of technological innovation and industrial innovation, highlighting their interdependent relationship and the need for a demand-driven approach to industrial innovation [1][2]. Group 1: Industrial Innovation Definition and Direction - Industrial innovation refers to the entire process of promoting the transformation of the industrial system towards intensive, intelligent, and ecological innovation through core technology innovation, resource allocation, and industrial model reform [1]. - The development direction of industrial innovation should focus on traditional industry upgrades and the emergence of strategic new industries, with a particular emphasis on cutting-edge fields such as general artificial intelligence, quantum technology, and low-altitude economy [2]. Group 2: Application Scenarios and Their Importance - Industrial innovation is driven by application scenarios, creating a closed loop of "demand orientation—technology penetration—value transformation" [3]. - The expansion of application scenarios enhances the efficiency and quality of existing applications, facilitating the transition from abstract technology to market value [3]. Group 3: Fusion Development - The process of industrial innovation is closely linked with technological breakthroughs, necessitating a seamless integration of innovation chains and industrial chains [4]. - Supporting enterprises in addressing common technological issues and enhancing the relevance and effectiveness of technological innovation is crucial for driving industrial upgrades [4]. Group 4: Innovation Ecosystem and Policy Framework - Building a collaborative and symbiotic innovation ecosystem is essential for activating industrial innovation, as seen in Shenzhen's diverse innovation ecosystem involving leading enterprises and research institutions [5]. - A comprehensive policy framework is necessary to support industrial innovation, including top-level design, targeted policies for different industries, and mechanisms for policy evaluation and adjustment [6].

Core Viewpoint - Wuhu City is leveraging a spatial strategy of "one core, three belts, and multiple nodes" to drive technological innovation and high-end industrial cluster development, focusing on strategic emerging industries and traditional industries' transformation towards intelligence and sustainability [1][18]. Group 1: New Quality Productive Forces Overview - New Quality Productive Forces, introduced by President Xi Jinping, emphasize innovation as the main driver, characterized by high technology, efficiency, and quality, aligning with advanced production capabilities [2]. - This concept is crucial for promoting high-quality economic development and constructing a modern industrial system [2]. Group 2: Economic Performance of Wuhu City - Wuhu City, as a key node in the Yangtze River Delta G60 Science and Technology Innovation Corridor, has seen its GDP exceed 512.05 billion yuan in 2024, with a year-on-year growth of 6.4% [3]. - The secondary industry has shown remarkable performance with an added value of 55.29 billion yuan and a growth rate of 8.7% [3]. Group 3: Industrial Development and Innovation - Wuhu is focusing on the "Jiuzi Science and Technology Innovation Bay" to create a highland for industrial innovation, planning 18 specialized innovation parks with a total construction area of 5.95 million square meters [5]. - The city's industrial enterprises achieved over 850 billion yuan in revenue, with a profit margin of 6%, and strategic emerging industries grew by 22% [5]. Group 4: Policy Framework for New Quality Productive Forces - Wuhu City has implemented several policies to support the development of New Quality Productive Forces, including action plans for modern service industries and digital transformation [9][11]. - These policies aim to create a comprehensive system covering technological innovation, industrial upgrading, and digital empowerment [9]. Group 5: Modern Industrial System - Wuhu has established a "4+10+6" industrial system, focusing on traditional industries like automotive and electronics while promoting strategic emerging industries such as robotics and new energy [13]. - The city aims to enhance its industrial capacity towards high-end, specialized, and cutting-edge sectors [13]. Group 6: Future Development Trends - Wuhu's development of New Quality Productive Forces will focus on technological innovation, particularly in smart connected vehicles and robotics [26]. - The city plans to foster a modern industrial cluster system that integrates traditional and emerging industries, enhancing collaborative efficiency through digital technologies [27]. - Wuhu will deepen cooperation within the G60 Science and Technology Innovation Corridor and optimize policies to attract global high-end resources [28].

Core Insights - Zhang Yiming, the founder of ByteDance, remains passionate about the AI sector and is increasing investments in artificial intelligence business [1][3] - Although he has stepped down as CEO, Zhang is focusing on large models and AI strategic research, actively participating in discussions within the Seed team [1] - Zhang emphasizes the pursuit of "General Artificial Intelligence" (AGI) and is committed to driving the company's exploration and development in the AI field [1][3] Company Developments - Zhang Yiming announced his resignation as CEO in May 2021 to focus on long-term strategy, corporate culture, and social responsibility [1] - In November 2021, co-founder Liang Rubo took over as CEO and chairman, restructuring the company into six major business segments, including Douyin, Dali Education, Feishu, Volcano Engine, Chaoxiguan, and TikTok [1] - Despite no longer participating in daily management, Zhang's exit from various legal representative roles is seen as a normal governance change [3] Industry Impact - Zhang's dedication to AI not only guides ByteDance's development in this area but also brings new expectations and momentum to the entire industry [3]

" 互联网视频数据是唯一可以 scale up 的道路 。 " 作者丨 郭海惟 编辑丨 陈彩娴 作为一名具身大脑的创业者，卢宗青有着金光闪闪的履历： 他是紧随 DeepMind之后，中国新生代的强化学习研究者。北京大学计算机学院长聘副教授，担任过智源 研究院多模态交互研究中心负责人，负责过首个国家自然科学基金委原创探索计划通用智能体项目，还同 时在NeurIPS、ICLR、ICML等机器学习的国际顶级会议担任领域主席。 早在 2023年，他旗下团队便有利用多模态模型研究通用 Agent 的研究尝试，让 Agent 玩《荒野大镖客 2》和办公，使其成为第一个从零开始在AAA级游戏中完成具体任务的 LLM 智能体。相关论文几经波折， 今年终于被 ICML 2025 录用。不过他自述对那份研究其实不够满意，因为"泛化性不足"。 当完成那些研究以后，卢宗青意识到 "当前的多模态模型缺乏与世界交互的能力"。因为模型缺少学习物 理交互的数据，所以 我们看到的那些泛化的能力本质都是 "抽象"的，它终究无法理解动作和世界的关 系，自然也无法预测世界 。 这如今成为他想在具身智能创业的起点：开发一个通用的具身人工智能模型。 卢 ...

Core Insights - Beijing has over 2,400 artificial intelligence companies and a core industry scale of nearly 350 billion yuan, accounting for half of the national total, establishing itself as the "capital of artificial intelligence" in China [2] - The city has a rich innovation resource base, with 21 national key laboratories and over 40% of the country's top talent concentrated there [5] - Beijing has implemented various policies to accelerate the development of AI, including a three-year action plan for embodied intelligence and initiatives for AI in new materials [5][6] Group 1: Innovation Resources - Beijing has established 23 key laboratories in AI, focusing on areas such as large models and AI safety, and has created four new research institutions in the field [5] - The city has produced globally leading original achievements, including the world's first native multimodal large model, Emu [5] - Original innovation capabilities are being enhanced, with breakthroughs in optical computing and wafer-level chips, including the world's first optical training chip [5] Group 2: Infrastructure and Data - Beijing's implementation plan for computing infrastructure aims to add 8,620 PetaFLOPS of computing power by 2024, bringing the total to over 33,000 PetaFLOPS [6] - The city has launched the first data foundation system pilot area in China, aggregating over 180 general and industry data sets, totaling more than 2,000 TB of data [6] Group 3: Future Development Plans - The city plans to focus on original innovation in frontier fields such as embodied intelligence and AI for life sciences, aiming to secure a leading position in AI [6] - There will be an emphasis on the integration of data and application development, promoting the implementation of large model products across departments and regions [6] - Beijing aims to create a first-class development environment by enhancing the training of potential young talents [6] Group 4: Global Cooperation - The city is committed to becoming a global "open-source capital" and is working towards establishing a global AI safety and governance system [7]

Core Viewpoint - Shanghai Newtouch Software Co., Ltd. has issued convertible bonds totaling RMB 484.81 million, with a maturity of six years and a structured interest rate that increases over time [2][3][12]. Section 1: Overview of Convertible Bonds - The company has received approval from the China Securities Regulatory Commission to issue 4,848,100 convertible bonds, each with a face value of RMB 100, amounting to a total of RMB 48,481,000 [2][3]. - The bonds are listed on the Shanghai Stock Exchange under the name "Newtouch Convertible Bonds" with the code "118021" [3]. Section 2: Basic Information of the Bonds - The bonds have a structured interest rate starting at 0.5% in the first year and increasing to 3.0% by the sixth year [3][12]. - The bonds will pay interest annually and will return the principal at maturity [3][10]. Section 3: Financial Performance - In 2024, the company reported total revenue of RMB 1.995 billion, an increase of 18.57% year-on-year, while net profit attributable to shareholders decreased by 88.21% to RMB 8.09 million [15][16]. - The company’s net assets increased by 0.93% to RMB 1.458 billion, and total assets rose by 14.95% to RMB 3.103 billion [16]. Section 4: Use of Proceeds - The proceeds from the bond issuance will be used for various projects, with a total investment amount of RMB 62.55 million, of which RMB 48.48 million will be funded by the bond proceeds [12][18]. - The company has also engaged in cash management for temporarily idle funds, investing up to RMB 100 million in safe, liquid financial products [18][19]. Section 5: Credit Rating - The bonds have been rated "A" by a credit rating agency, with a stable outlook for the company [13][21]. Section 6: Management of Bondholder Interests - The bond trustee, Changjiang Securities, is responsible for monitoring the company's financial health and ensuring compliance with disclosure obligations [12][22].