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自变量机器人王潜:具身智能大模型没法抄国外作业
3 6 Ke· 2025-05-29 01:05
Core Viewpoint - The article discusses the emergence of embodied intelligence in China, highlighting the rapid growth and investment in the sector, particularly focusing on the company "Self-Variable Robotics" founded by Wang Qian, which has raised over 1 billion yuan in funding within a year and a half [5][12]. Group 1: Company Overview - Wang Qian, the founder of Self-Variable Robotics, has a strong academic background and prior experience in the U.S. quant fund industry, which he left to pursue robotics [2][5]. - Since its establishment in 2023, Self-Variable Robotics has completed seven rounds of financing, with a total amount exceeding 1 billion yuan [5]. - The company has adopted an "end-to-end unified VLA model" technology route, updating its model every 2-3 months [7][12]. Group 2: Industry Context - 2023 is marked as a significant year for the domestic embodied intelligence sector, with major players like Nvidia's founder predicting it as the next tech wave [5]. - The domestic humanoid robotics startup landscape has formed a clear hierarchy, with Self-Variable Robotics moving from a secondary to a quasi-first-tier position due to its funding achievements [5]. - There are contrasting views on the commercial viability of humanoid robots, with some investors skeptical about their practical applications, while others continue to invest heavily [5][10]. Group 3: Technological Development - Self-Variable Robotics has developed the WALL-A model capable of performing complex tasks beyond simple operations, positioning itself at the forefront of the industry [8][12]. - Wang Qian anticipates that a GPT-3 level embodied intelligence model could emerge within a year, with commercial applications expected to materialize in one to two years [10][21]. - The company prioritizes enhancing model capabilities over immediate commercialization, with two-thirds of its expenditures directed towards model development [12][30]. Group 4: Market and Commercialization - Current commercial applications for embodied robots are primarily in research education and hospitality, which Wang Qian believes are not the ultimate target markets for long-term growth [10][31]. - The company has already developed a physical product, although it has not yet been widely released, and is currently in the proof of concept stage with seed customers [27][29]. - Wang Qian expresses skepticism about the long-term value of current commercial scenarios, suggesting they may be more about meeting investor expectations than achieving substantial market impact [31][32]. Group 5: Competitive Landscape - The article notes that while domestic companies are catching up, there remains a significant gap between Chinese and U.S. companies in terms of overall capabilities [37]. - Self-Variable Robotics claims to be on par with international leaders like Physical Intelligence and Google in certain aspects, despite the general perception of being behind [38]. - The challenges of open-source models in the embodied intelligence space are highlighted, with Wang Qian arguing that commercial success cannot rely solely on open-source strategies [43][44].
启明创投周志峰:AI的性能和成本已达到临界点,AI应用将在今年爆发
IPO早知道· 2025-04-29 03:01
2025年会是AI应用全面落地的大年 近两年 人工智能市场最热闹的是 大模型领域, 我们 已投资 了 14 家 大语言模型、多模态模型 、 具身智能 模型或端到端智驾模型的领军企业 ,这个数量在亚洲位居前列。同时我们 协助 管理着规 模达 100亿 元 的 北京市人工智能产业投资基金。 这些 都是 "触点",为 我们 判断 AI行业的发展 脉络 提供了 更多的数据,能够 更好地训练我们的投资 思维模 型 。 任何一轮科技浪潮,都开始于底层基础技术的耕耘。 本文为IPO早知道原创 作者| Stone Jin 过去几年,启明创投 一直把 AI的投资分成三个层次 : 微信公众号|ipozaozhidao 据 IPO早知道消息, 启明创投主管合伙人周志峰 日前 发表了题为 "2025,AI照进现实之旅"的主旨 演讲,分享了对AI投资的见解,和对AI市场演进路径的推演与预判。 以下系演讲精选: 为什么不是去年 或 前年? 原因是 任何 一轮科技 浪潮 ,都开始于底层基础技术的耕耘,其中有两个核心技术指标,一是性 能,从凑合用到真正好用,二是成本,从 "高不可攀"到"轻松消费",当这两个核心指标均达到临界 点时,应用就会 ...