文｜周鑫雨 编辑｜苏建勋 浪来了，大家都站起来了 作为智谱AI的B轮投资人，启明创投主管合伙人周志峰、执行董事胡奇，还记得这家大模型公司尚在襁褓中的样子。 那是2021年6月，北京智源AI研究院的发布会上，他们第一次在国内看到参数量万亿级的预训练模型，"悟道2.0"。 经过一番辗转介绍，周志峰和胡奇知道了"悟道2.0"的带头人，是来自清华知识工程实验室的唐杰，他背后的公司，叫做"智谱华章"。 不同于大模型今日之高光，那时的AI，是个在角落里沉寂的赛道。 2021年，最火的投资主题是碳中和与元宇宙，OpenAI在国内还是个小众公司，大模型和Scaling Law，更是只在少数大厂和研究院中默默进行的实验。 启明创投还是投了。几名智谱创始成员口中的"泛化性"，和已经推进的模型API服务，让他们看到大模型可以走出实验室，是个能改变千行百业的"big story"。在启明创投最早的内部讨论里，李飞飞等斯坦福大学AI团队成员当时对Foundation Model的判断，还被胡奇特意注明。 在启明创投悄然狙击智谱的2021年底，明势创投创始合伙人黄明明、合伙人夏令、董事总经理徐之浩，见到了计划创业的MiniMax创始人闫 ...

VC/PE再迎"开门红"。 来源：东四十条资本 作者：陈美 编辑：王庆武 继1月2日港股迎来首家通用人工智能芯片公司——壁仞科技（06082.HK）之后，1月8日，"大模型第一股"智谱（02513.HK）也登陆港 交所。这使得在开年第一周，港股资本市场便诞生两个"第一股"。 盘面上，智谱市值突破520亿港元，此前智谱在公开发售部分已录得超额认购1164倍，显示出市场的认可。 如果将智谱的上市，看作是一场顶级机构的"大丰收"，那么同期壁仞科技、MiniMax、天数智芯的密集敲钟，则勾勒出开年硬科技IPO 的热闹景象，以至于有投资人感叹："这真是创投圈久违的'开门红'！" 这里插播一条课程资讯： 报名「吴世春·西安出行活动」，1月22日-24日，吴世春将亲自带队100家企业家，去陕西西安线下游学，走进科技制造产业，打开万亿 赛道蓝海。同时，吴老师重点关注商业航天领域。 带着这份前瞻性判断，启明创投系统性在中美两地寻找同类团队。"直到2021年智源大会发布'悟道2.0'模型，我们才通过智源接触到背 后的核心团队，得知了他们正在一家以'智谱'为名的公司里推进商业化。" 周志峰提到，在当时众多关注智谱的投资人中，启明创 ...

智能涌现 . 直击AI新时代下涌现的产业革命。36氪旗下账号。 文 ｜ 周鑫雨 编辑 ｜ 苏建勋 来源｜ 智能涌现（ID：AIEmergence） 封面来源 ｜ AI生成 浪来了，大家都站起来了 作为智谱AI的B轮投资人，启明创投主管合伙人周志峰、执行董事胡奇，还记得这家大模型公司尚在襁褓中的样子。 那是2021年6月，北京智源AI研究院的发布会上，他们第一次在国内看到参数量万亿级的预训练模型，"悟道2.0"。 以下文章来源于智能涌现 ，作者周鑫雨 经过一番辗转介绍，周志峰和胡奇知道了"悟道2.0"的带头人，是来自清华知识工程实验室的唐杰，他背后的公司，叫做"智谱华章"。 不同于大模型今日之高光，那时的AI，是个在角落里沉寂的赛道。 2021年，最火的投资主题是碳中和与元宇宙，OpenAI在国内还是个小众公司，大模型和Scaling Law，更是只在少数大厂和研究院中默默进行的实验。 启明创投还是投了。几名智谱创始成员口中的"泛化性"，和已经推进的模型API服务，让他们看到大模型可以走出实验室，是个能改变千行百业的"big story"。在启明创投最早的内部讨论里，李飞飞等斯坦福大学AI团队成员当时对Foun ...

1月8日，北京智谱华章科技股份有限公司（02513.HK）（简称"智谱"）正式在香港联合交易所挂牌上 市，发行价为每股116.20港元，以120港元/股的价格开盘，午后震荡走高，一度涨近16%。 市场关注智谱股价走势，核心原因在于作为"基座模型第一股"，智谱成为高投入高亏损赛道价值判断的 重要标的。而智谱之外，MiniMax、壁仞科技、天数智芯等科技公司准备或已登陆港股，多位投资界人 士对第一财经记者表示，针对科技公司的上市政策红利逐渐落实，资本端、政策端也已达成共识。 启明创投主管合伙人周志峰表示，以智谱、DeepSeek为代表的中国AI创新正在获得全球范围的关注和 认可，这为整个生态打开了新的空间，意味着中国团队将更深度地参与全球技术竞赛。这次上市成功明 确地告诉市场：坚持底层核心技术创新，即使短期内巨额投入导致亏损，只要路径正确、团队过硬，资 本市场会给予认可和价值重估。而上市只是一个新的起点，利用好资本市场的资源加速创新和生态建 设，才是接下来真正的考验。 智谱背后的中国大模型路径 在张鹏的视野中，探索AGI是比公司商业化更为重要的事，他在专访中对第一财经记者强调，如果一味 追求商业化而放弃AGI，" ...

Core Viewpoint - Haidian District is emerging as a significant hub for AI innovation, attracting talent and investment, and fostering a robust ecosystem that supports the development of AI technologies and applications [2][3][4]. Group 1: Haidian's Innovation Ecosystem - Haidian has become a focal point for tech innovation, with over 20,000 external investment personnel active monthly and numerous unicorns emerging from the area [2]. - The district accounts for 2.6% of Beijing's land but generates over 25% of the city's GDP, hosting more than 70% of the nation's AI companies and 80% of top global AI scholars [3]. - The area is home to over 100 AI companies, establishing itself as the core of the "Zhongguancun AI Large Model Industry Cluster" [3]. Group 2: Historical Context and Development - Haidian has historically been linked to every wave of AI development in China, from early expert systems to the current era of deep learning and large models [6][7]. - The establishment of key research institutions and collaborations with leading universities has laid a strong foundation for AI research and talent cultivation [9][10]. Group 3: AI Application and Market Potential - The AI application market is viewed as a trillion-dollar opportunity, with Haidian at the center of this entrepreneurial resurgence [4][5]. - The district has seen a resurgence in startup activity, reminiscent of the mobile internet boom, with numerous events and networking opportunities for entrepreneurs [4]. Group 4: Infrastructure and Support Mechanisms - Haidian is implementing a comprehensive strategy to support AI development, including a public computing power platform and a data-sharing initiative [12][13]. - The district has established a significant number of large models, with 89 registered by June 2023, representing one-third of the national total [13]. Group 5: Talent and Investment - Haidian boasts the highest concentration of AI talent in China, with 80% of the nation's top AI scholars and numerous educational institutions offering AI programs [14]. - The district has launched a series of funds totaling 20 billion yuan to support technology companies throughout their growth cycles, enhancing its investment landscape [14][15].

Core Insights - Artificial intelligence (AI) is a strategic technology leading a new wave of technological revolution, significantly transforming human production and lifestyle [1] - Beijing is positioning itself as the "AI capital" of China, with over 2,400 AI companies and a core industry scale nearing 350 billion yuan, accounting for half of the national total by 2024 [1] Group 1: AI Innovation and Research - Beijing is recognized as the city with the richest AI innovation resources in China, hosting 21 national key laboratories and over 40% of the nation's top talent [2] - The city has established four new research institutions focused on AI, producing globally leading original results, including the first native multimodal large model, Emu [2] - The Zhiyuan Institute has developed the "Wudao" series of large models, with Wudao 1.0 and Wudao 2.0 being significant milestones in China's AI model development [2][3] Group 2: AI Applications and Developments - Beijing has launched 132 large models, leading the nation in this area, and is focusing on disruptive technologies like optical computing and wafer-level chips [4] - The integration of AI with hardware is exemplified by companies like Mianbi Intelligent, which focuses on edge AI models that perform processing directly on user devices [4] - The education sector is set to benefit from AI with the introduction of MAIC (Massive AI-empowered Courses), which aims to enhance teaching efficiency and learning outcomes [5] Group 3: Future Directions and Infrastructure - Beijing plans to enhance its AI infrastructure, with an expected addition of 8,620 PetaFLOPS of computing power by 2024, bringing the total to over 33,000 PetaFLOPS [7] - The city aims to establish itself as a global hub for AI innovation and industry, focusing on interdisciplinary fields such as AI + life sciences and AI for science [7] - Efforts will be made to integrate data and applications, leveraging Beijing's rich data resources and comprehensive industrial system to promote the application of large models in the economy [7]

Group 1 - The core viewpoint of the articles emphasizes the rapid development of AI and its transition from the digital world to the physical world, highlighting the importance of world models in this evolution [1][3][4] - The 2023 Zhiyuan Conference marked a shift in focus from large language models to the cultivation of world models, indicating a new phase in AI development [1][3] - The introduction of the "Wujie" series of large models by Zhiyuan represents a strategic move towards integrating AI with physical reality, showcasing advancements in multi-modal capabilities [3][4] Group 2 - The Emu3 model is a significant upgrade in multi-modal technology, simplifying the process of handling various data types and enhancing the path towards AGI (Artificial General Intelligence) [4][5] - The development of large models is still ongoing, with potential breakthroughs expected from reinforcement learning, data synthesis, and the utilization of multi-modal data [5][6] - The current challenges in embodied intelligence include a paradox where limited capabilities hinder data collection, which in turn restricts model performance [6][8] Group 3 - The industry faces issues such as poor scene generalization and task adaptability in robots, which limits their operational flexibility [9][10] - Control technologies like Model Predictive Control (MPC) have advantages but also limitations, such as being suitable only for structured environments [10] - The development of embodied large models is still in its early stages, with a lack of consensus on technical routes and the need for collaborative efforts to address foundational challenges [10]