4月30日，小米开源其首个推理大模型Xiaomi MiMo，同时公开了一个此前未曾公开露面的团队：小米大模型Core团队。根据小米 自己的说法，该模型只是团队的初步尝试。至于为何还是赶了"晚班车"，小米方面称，2025年虽看似是大模型逐梦的后半程，不 过还是坚信AGI（通用人工智能）征途仍漫长。 参数方面，根据介绍，小米经强化学习训练形成的MiMo-7B-RL模型，在数学推理（AIME 24-25）和代码竞赛（LiveCodeBench v5）公开测评集上，用7B参数规模，得分超过了OpenAI的闭源推理模型o1-mini和阿里Qwen开源推理模型QwQ-32B-Preview。 在这篇推介自家大模型的文章末尾，小米还默默公开了一个简历投递邮箱，为刚成立不久的团队"招兵买马"。 每经记者 杨卉 每经编辑 魏官红 曾说不做OpenAI类大模型的小米变了。 《每日经济新闻》记者注意到，在部分招聘软件上，小米已经上线了大量与大模型相关的招聘信息，如"大模型算法专家""大模型 推理工程师""大模型数据策略工程师"等，其中公布的年薪最高可达128万元。此外，从招聘详情里也能看到小米给大模型落地找 到的一些场景，如智能门 ...

Group 1 - Beijing is becoming a strategic high ground in the AI large model field, with significant advancements in technology and a thriving ecosystem for innovation [1][4] - The emergence of AI unicorns like DeepSeek and the development of the "Wudao" model signify China's growing capabilities in AI, aiming to compete with the US by 2025 [4][5] - The AI landscape in China is rapidly evolving, with numerous "little dragons" and "little tigers" emerging, indicating a flourishing environment for AI startups [5][6] Group 2 - The development of AI models has shifted from "large model refining" to "refining large models," with DeepSeek's success serving as a strong signal of China's position in the global AI arena [5][20] - The establishment of the Zhiyuan Research Institute has played a crucial role in fostering AI talent and innovation, acting as a "angel investor" for top scholars in the field [11][22] - The AI industry is witnessing a trend towards more efficient and capable models, with a focus on achieving higher model density and performance [20][21] Group 3 - The journey towards Artificial General Intelligence (AGI) is seen as a long-term goal for AI entrepreneurs, requiring strategic planning and patience [17][19] - The local processing capabilities of edge models provide advantages in data protection and user privacy, making them appealing in various applications [19][20] - The success of DeepSeek highlights the importance of combining financial resources with visionary leadership in the AI startup ecosystem [21][22]

2025年4月25日，2025年李善友开年大课暨混沌·AI创新院开学典礼正式开讲。 Day1的主题是"AI的进击"，在上午的大课中，教授动情表示：DeepSeek，将是国运的AI支点。 以下是李善友教授大课的笔记内容。 讲者 ｜李善友 我相信未来的20 年 ， 必然是 AI 在中国的黄金 20 年 。 其实在大课开始 前，我们 同事 问我 ：教授 你 为这堂课 ， 做了多长时间的准备？ 我想 ： 这个准备 ， 如果从长来说可能是十年， 往 短 里 说可能是 18 个月。 所以： 18 个月以来 ， 我一直在思考，今天这个时代命题是什么？混沌要呼应什么样的命题？ 我要 把最大公约数的那个命题 ， 像旗帜一样举出来，跟 所有 同学们去呼应。 这个命题 究竟 是什么？ 我一直 在 思考。 因为马斯克看见了一件事情，谷歌把之前最领先的 AI 实验室 DeepMind 给收购了。 马斯克心中有一个巨大的隐忧—— AI 比核武器更具威胁，任由 AI 发展下去，最终 AI 一定反过来控制人类，甚至会毁灭人类。 其实我认为， OpenAI 是这一轮 AI 革命的先驱。 我觉得 全世界的人，都应该向 AI革命的先驱OpenAI ...

全国首例！上市公司董监高违反公开承诺案今宣判 上海金融法院4月25日公开宣判原告刘某某、郑某某诉被告上海金某泰化工股份有限公司、袁某、罗某 证券虚假陈述责任纠纷一案。该案是2019年修订《中华人民共和国证券法》以来，全国首例因上市公司 董监高未履行公开增持承诺引发的证券侵权纠纷案件。上海金融法院经审理认为，本案中，袁某、罗某 在首次作出增持承诺时并无资金准备，在后续延期过程中亦未积极筹措资金，且在面对交易所质询时以 过桥资金制作"虚假"存款证明，故难以认定其有增持的真实意愿。从增持主体、承诺增持金额、市场影 响力等角度看，袁某、罗某公开增持承诺信息的披露，对证券市场和投资者预期产生严重误导，其所主 张的未能履行增持承诺的抗辩理由明显不合理，故虚假陈述行为成立且具有重大性。再次，公开承诺人 袁某、罗某为法定信息披露义务人，而非金某泰。 从信息披露的全过程看，金某泰尽到了基本的审查义务，亦无证据证明金某泰明知或应知袁某、罗某存 在虚假陈述，故不应承担案涉虚假陈述行为的民事赔偿责任。综上，经委托第三方机构损失核定，上海 金融法院一审判令被告袁某、罗某共同赔偿原告刘某某投资损失506,130.96元，共同赔偿原告郑某 ...

Core Insights - The topic of embodied intelligence is a major focus at the 2025 Zhongguancun Forum, with the introduction of the RoboOS framework and the open-source RoboBrain model [1][3] - Multi-modal large model technology is expected to enhance the intelligence of robots, allowing them to better understand and interact with the physical world [2][3] Group 1: Multi-modal Large Models - Multi-modal large models enable AI to perceive and understand the world through various data types, such as medical imaging and sensor data, facilitating the transition from digital to physical environments [2] - The performance improvement of large language models has slowed due to the exhaustion of available internet text data, necessitating the integration of multi-modal capabilities [2] Group 2: RoboBrain and RoboOS - RoboBrain and RoboOS are designed to support cross-scenario, multi-task deployment and collaboration among different types of robots, enhancing their general intelligence [3] - RoboBrain can interpret human commands and visual inputs to generate actionable plans based on real-time feedback, supporting various robotic configurations [3] Group 3: Industry Development and Challenges - The open-source approach is seen as a key driver for rapid development in the AI industry, allowing for collaboration among hardware, model, and application vendors [4] - Despite the potential of humanoid robots, there are significant challenges in their industrial application, with many still in the early stages of development [5] - The realization of Artificial General Intelligence (AGI) is projected to take an additional 5-10 years, influenced by advancements in embodiment capabilities and data accumulation [5]

Core Viewpoint - In 2024, Li Auto achieved a mixed performance in the electric vehicle market, with revenue exceeding 144.5 billion yuan and delivery surpassing 500,000 units, but faced declining profits and pressured gross margins due to competitive pricing strategies and the popularity of low-margin models like the L6 [1][2][4]. Group 1: Financial Performance - Li Auto's revenue for 2024 reached 144.5 billion yuan, marking a 16.6% year-on-year growth, but the net profit fell by 31.9% to 8 billion yuan, with a significant decline in Q4 net profit by 38.6% [2]. - The gross margin decreased from 21.5% to 19.8%, primarily due to a shift towards lower-end models and price reductions [2][5]. - Operating cash flow was 15.9 billion yuan, down 69% year-on-year, while cash reserves increased to 112.8 billion yuan, up over 30%, providing a strong financial buffer for future investments [3]. Group 2: Market Dynamics - Li Auto delivered 500,508 vehicles in 2024, a 33.1% increase, with the L6 model accounting for nearly 40% of total sales, priced starting at 249,800 yuan [4][6]. - The high-end market is facing competition from AITO's new models, while the mid-to-low-end segment is being targeted by Leap Motor's C series, which has gained traction with a competitive pricing strategy [7]. - Leap Motor's revenue reached 32.16 billion yuan in 2024, with a gross margin of 8.4%, indicating a strong market presence and profitability [7]. Group 3: Product Strategy and Future Outlook - Li Auto's first pure electric MPV, MEGA, launched in March 2024, did not meet sales expectations, highlighting challenges in transitioning from range-extended vehicles to pure electric models [9][10]. - The company plans to release two new pure electric SUVs in 2025, with the i8 expected to start at around 450,000 yuan, directly competing with Tesla and NIO [10][11]. - Li Auto's focus on AGI technology is ambitious, but the company has reduced R&D spending, raising concerns about its ability to compete effectively in the evolving market [12][14].

以下文章来源于智能涌现 ，作者周鑫雨 智能涌现 . 直击AI新时代下涌现的产业革命。36氪旗下账号。 为了留在AGI牌桌，王小川转了三次身。 从聚焦模型研发和金融、教育行业的B端落地，到试水C端产品和多模态模型；再转型发力医疗，B端商业化并行；最终裁撤B端，聚焦医疗 ——这些调整， 都是为了让百川继续留在牌桌上。 文 ｜ 周鑫雨 编辑 ｜ 苏建勋 来源｜ 智能涌现（ID：AIEmergence） 封面来源 ｜ 视觉中国 3月中旬，华为传出组建医疗卫生军团的消息，聚焦医疗大模型的临床落地。这一消息，在作为"AI六小虎"的百川智能内部，一石激起千层浪。 华为入局，让百川在AI+医疗领域的牌桌上，迎来一位绝对重量的竞争者。 医疗是如今百川业务的命脉。 " 智能涌 现 "曾在3月初独家报道，百川智能裁撤了负责金融、教育等领域的B端组，理由是集中资源，聚焦在医疗这个核心 业务上。 "DeepSeek的余波还在，华为提着刀又来了。"一名百川员工告诉 " 智能涌 现 " 。 裁撤B端、聚焦医疗，是百川应对DeepSeek掀桌的决策。而如今，如何避免与"B/G收割机"华为的直接竞争，是百川内部抓紧讨论的新命题。 百川智能究竟 ...

编辑 丨 程曼祺 3 月 6 日，AI 产品 Manus 引发关注。开发 Manus 的三位关键人物是：创始人、CEO 肖弘（小红）；联 合创始人、首席科学家季逸超（Peak）；以及产品合伙人张涛（hidecloud）——两位 90 后连续创业者 和一位 15 年换了 10 家公司的 85 后产品老兵。 一个边缘地带的 "underdog" 小团队 ，以车库创业的开发方式，出乎意料地搅起了一场小风暴。 "硬科技创业者基本都是名门正派，光谱另一端的消费级产品创始人则几乎都是畎亩之中。" 真格基金投 资人刘元说。他也是 Manus 的天使投资人。 毕业于华中科技大学的肖弘是江西吉安人，创业起点在武汉，曾开发过两款微信生态的插件：微信公众 号排版工具壹伴和企业微信客户关系管理工具微伴，卖给一家独角兽公司。 高中阶段就开始创业的季逸超是北京人，他在苹果 App Store 上线不久，就开发出猛犸浏览器，后来做 了 Magi 知识搜索引擎。季逸超曾告诉我们，那时有投资人 "诱惑" 他：我给你一笔钱，敢不敢做个 Google？他拒绝了，不是觉得做不到，而是他觉得只有 "抛开利益" 才有可能。 重庆人张涛则先后在烽火国际、 ...

Core Viewpoint - OpenAI is set to launch a subscription-based Agent service targeting professionals, with monthly fees ranging from $2,000 to $20,000, marking a shift towards high-end commercial applications [1][3][4]. Group 1: Subscription Tiers - The Agent service will be divided into three tiers: - The first tier for high-income knowledge workers at $2,000 per month - The second tier for software developers at $10,000 per month - The third tier for PhD-level research at $20,000 per month [2][4][8]. Group 2: Revenue Generation - OpenAI aims to position the Agent as a primary revenue growth engine, potentially contributing 20% to 25% of long-term revenue through these subscription fees [3][4]. - SoftBank is reportedly supporting this initiative with a commitment to invest $3 billion in OpenAI's Agent products this year [5][6]. Group 3: Market Positioning - This move signifies OpenAI's transition from consumer applications, like ChatGPT, which has 330 million monthly active users, to high-end commercial applications, aligning with competitors like Anthropic [7][8]. - The pricing strategy has drawn criticism, especially when compared to competitors like Claude, which charges only $20 per month for its subscription [9][10]. Group 4: Public Perception - The high subscription fees have sparked reactions from the public, with many finding the prices excessive, and some suggesting that such costs would only be justified if OpenAI achieves AGI (Artificial General Intelligence) [10][13]. - OpenAI's recent statements on AGI emphasize a gradual evolution rather than a sudden leap, which some view as ironic given the high costs associated with their new offerings [15][16].

以下文章来源于硅兔君 ，作者旗舰 硅兔君 . 50万创投人关注的硅谷科技风向标 来源丨硅兔君（ID：gh_1faae33d0655） 图源丨Midjourney "OpenAI前员工"的名头，在市场上到底有多值钱？ 当地时间2月25日，据Business Insider报道称，OpenAI前首席技术官Mira Murati 刚刚官宣的新公司 Thinking Machines Lab，正在以90亿美元估值启动10亿美元融资。 目前，Thinking Machines Lab尚未透露任何产品、技术的时间表或具体细节，这家公司的公开的信息只有 超过20人的OpenAI前员工团队，以及他们的愿景：构建"每个人都能获得知识和工具，让AI为人们的独特 需求和目标服务"的未来。 OpenAI系创业者的资本号召力已形成"滚雪球效应"。在Murati之前，OpenAI前首席科学家Ilya Sutskever创 立的SSI就已经仅凭OpenAI基因和一个理念和就拿到了300亿美元估值。 自2018年马斯克退出OpenAI以来，前OpenAI员工创办了超过30家新公司，总融资额超过90亿美元。这些 公司形成了覆盖AI安全（Ant ...