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当大模型 “吞噬” 垂类应用,教育 AI 如何成为例外?
晚点LatePost· 2025-04-16 15:37
通用大模型难以满足教育的复杂需求,给了教育 AI 落地的机会。今年 3 月国外知名投资机构 A16Z 发布了全球最赚钱的前 50 个 AI 应用收入,数学解题、语言学习的应用贡献了前 50 总收入的 8%。 这些学习类 AI 的底层依然是通用大模型,但它们找到了刚需场景,提供了比通用大模型更好的解决 方案。当底层模型趋同时,安全专业的服务、对垂直场景的深度理解,才是留存用户的关键。 抢滩教育 AI,猿辅导这次赌对了吗? AI 正以迅猛的速度追赶人类智力。当大模型在越来越多垂直领域上持续进步,创业公司们还有生存空 间吗? AI 应用创业公司最近一次感到恐慌,来自 GPT-4o 文生图功能的更新,其生成的吉卜力风格图片刷爆 社交媒体,效果超过 Midjourney、Stable Diffusion、Gemini 等对手。"复杂工程化注定会被模型碾 碎",资深产品设计师 "歸藏" 说,"如今都被一个简单对话界面所取代。" 在猿辅导集团副总裁王向东看来,大模型吞噬垂类应用的事情,在教育行业不会发生。 他认为文生图的需求简单、标准化,而教育需求极度复杂且非标。中小学生的需求包括作业检查、知 识讲解、错题总结、心理陪伴等 ...
丰桥智能张佳晨:颠覆汽车制造之后,“AI+机器人”走进中国船厂|我在南沙办企业
Group 1 - The core viewpoint of the articles revolves around the advancements and challenges in the automotive manufacturing industry, particularly focusing on the role of automation and intelligent manufacturing in enhancing production efficiency and adaptability [1][2][3][4][6] - The Guangzhou Automobile Group (GAC) is facing a significant decline in sales, with a projected total of 2.003 million vehicles in 2024, representing a 20% year-on-year decrease, while its partners like Toyota and Honda also experience over 20% drop in sales [3][5] - Despite the challenges faced by automotive clients, the factory of Fengqiao Intelligent remains busy, as it is engaged in developing production equipment for future models, adapting to the market's demand for shorter development cycles and frequent model changes [3][4] Group 2 - Fengqiao has been increasing its investment in manufacturing and R&D, establishing a new headquarters and high-end equipment manufacturing base in Nansha with an investment of 160 million yuan in 2023 [4] - The company is expanding its production capabilities by acquiring Guangzhou Taili High Automotive Parts and establishing Guangzhou Fengxin Automotive Parts, as well as planning to set up Guangzhou Fengshi Software Technology to focus on AI applications [4][12] - The introduction of advanced automation technologies, such as the "unordered grabbing" robot, showcases Fengqiao's commitment to enhancing production flexibility and efficiency, which is crucial for adapting to the evolving automotive landscape [10][11] Group 3 - The integration of AI and industry data is seen as a transformative force in traditional manufacturing sectors, with Fengqiao exploring opportunities in shipbuilding, leveraging its expertise in automation to enhance efficiency in this new domain [11][12] - The company is currently collaborating with shipbuilding and marine equipment enterprises in Nansha to promote the application of robotic production lines, indicating a strategic expansion into new markets [12][13] - Fengqiao's focus on application-oriented technology innovation is evident in its workforce composition, with over 76% of its 300 employees being technical R&D personnel, emphasizing the importance of practical experience in driving technological advancements [13]