Group 1 - The 36Kr WAVES New Wave 2025 conference was held in Hangzhou, focusing on the theme of "New Era" and discussing topics such as AI technology innovation and globalization [2][3] - The conference featured top investors, emerging entrepreneurs, and scholars, aiming to explore the future of China's venture capital landscape [2][3] Group 2 - 36Kr CEO Feng Dagang emphasized that 2025 marks the beginning of a new cycle, driven by the rise of new generational forces, where young entrepreneurs have the potential to disrupt industry giants [6][3] - Li Wei, founder of Songhe Capital, called for government support for technology and innovation, advocating for a market-driven approach to foster economic growth [9][3] Group 3 - Notable insights from various investment leaders highlighted the importance of understanding industry dynamics beyond just technology, focusing on market demands and competitive landscapes [15][3][16] - The need for patience in investment strategies was stressed, particularly in the face of market fluctuations [21][3] Group 4 - The conference showcased a positive outlook on the market, with some investors noting signs of recovery and a potential bull market [25][3] - The emphasis was placed on the importance of real-world observations and understanding consumer needs in product development [26][3]

以下文章来源于字母榜 ，作者赵晋杰 字母榜 . 策略纷纷转舵了。 作者丨 赵晋杰 编辑丨 王靖 来源丨 字母榜 字节系高管正在集体被AI六小龙"退货"。 最新调离核心岗位的是前字节皮皮虾负责人张心皓。6月初，据《智能涌现》爆料，去年12月，阶跃 星辰旗下角色扮演类应用"冒泡鸭"停止大范围投入，团队被合并至AI助手类应用"跃问"（现更名 为"阶跃AI"）。 让未来不止于大 将投中网设为"星标⭐"，第一时间收获最新推送 字母榜 从知情人士处获悉， 作为"冒泡鸭"产品负责人的张心皓，当前在公司内部的角色已变更为顾 问一职。 尽管尚未彻底离职，但 顾问角色更多代表一种虚职 。此前以类似方式完成变相离职的，还有前今日 头条用户产品负责人张前川。去年9月，MiniMax产品负责人张前川被爆离职，随后官方在对外回应 中便表示，张前川因个人原因淡出公司事务，改任产品顾问一职。 几乎与张前川改任顾问同一时期，前字节剪映产品经理、月之暗面核心产品负责人明超平，也正式从 月之暗面离职，开始下场创业。 字母榜曾在《无人再谈AI六小龙》一文中率先指出，原本被冠以六小龙称号的队伍中，因为有人明显 掉队（零一万物明确放弃追逐AGI，百川智 ...

Core Insights - The Chinese venture capital market is at a turning point, characterized by a structural transformation and a focus on capturing opportunities amid uncertainty [1] - The "New Era" theme of the 36Kr WAVES conference highlights discussions on AI innovation, globalization, and value reassessment [1] - Key industry leaders gathered to share insights on the current state and future of venture capital in China, emphasizing the importance of adaptability and strategic investment [1][3] Group 1: Investment Trends - The most popular investment sectors this year include AI and robotics, with significant progress in the biopharmaceutical sector, particularly in overseas licensing deals [6][10] - There is a noticeable shift in investor sentiment, with many expressing concerns about missing out on AI investment opportunities [8][10] - The market is witnessing a revival, with increased activity in IPOs and mergers, indicating a more favorable environment for exits [24][26] Group 2: Investment Strategies - Early-stage investments require a long-term perspective, with a focus on sectors with high growth potential, such as hard technology and advanced manufacturing [18][20] - Investors emphasize the importance of patience and strategic planning, particularly in navigating market cycles and ensuring sustainable growth [13][21] - Successful investment requires a balance between technical expertise and market understanding, with a focus on core technology and its application in large markets [20][22] Group 3: Exit Strategies - Various exit strategies are being explored, including IPOs, mergers, and acquisitions, with a focus on timing and market conditions [24][25] - The importance of proactive engagement in the exit process is highlighted, with investors encouraged to facilitate mergers and acquisitions to maximize returns [25][28] - The distinction between USD and RMB funds in terms of exit strategies is noted, with RMB funds facing unique challenges in project recovery and exit timing [29]

温馨提示 ： 点击下方图片，查看运营团队2025年6月最新原创报告（共235页） 说明： 欢迎约稿、刊例合作、行业人士交流 ， 行业交流记得先加入 "机器人头条"知识星球 ，后添加（ 微信号：lietou100w ） 微信； 若有侵权、改稿请联系编辑运营（微信：li_sir_2020）； 正文： 早期小编整理文章 【技术干货】"具身智能 "技术最全解析 ， 本篇文章重点解读现阶段大火的 视觉-语言-动作 (VLA)模型， 一种整合视觉（Vision）、语言（Language）和动作（Action）的多模态模型 。 2022年，Google和CMU相继推出"SayCan"、"Instruct2Act" 工作，Transformer模型既看图、又读指令、还能 生成生成动作轨迹成为可能；2023年，随着谷歌DeepMind推出RT-2模型，机器人可以端到端地从给定的语言指 令和视觉信号，直接生成特定的动作，具身智能领域也迎来了一个新名词： VLA（Vision-Language-Action Model，视觉-语言-动作模型）。 VLA模型的整体框架可以被视为VLM与端到端模型的结合体，也被看作是端到端大模型2.0 ...

过去10年，中国制造业的用工成本几乎翻了一倍，有些行业甚至涨得更多。原材料价格也受全球供应 链、能源政策和环保要求的影响，一路上涨。 每次提到出海，很多人脑子里蹦出来的第一个词就是： 这些变化倒逼企业必须升级，推动自动化、智能化技术的普及，而在海外，竞争也不再只是拼价格那么 简单了。 所以，如果还觉得"便宜就能赢"，那这条路只会越走越窄；我认为，真正推动中国企业走出去的，是供 需错配带来的结构性机会。 01 什么是供需错配？别着急，我跟你讲几个案例： 成本战略。 好像只要中国企业走出去，一定靠着"便宜"打天下。但问题是：这套打法，现在还管用吗？ 中国在人工和原材料方面确实还有一定优势，但早就不是"白菜价"了。 2015年，一家叫影石的中国公司刚刚成立。那时，运动相机市场几乎被GoPro垄断；这家初创企业没有 硬刚，也没有靠价格战去拼，而是找到了一个别人没做、但用户需要的场景缺口：滑雪拍摄。 滑雪者高速滑行，动作剧烈，普通相机抖得根本没法看。而影石就抓住痛点，做出了全球第一款自带超 强防抖功能的运动相机，这一下子戳中了Vlogger、极限运动爱好者的心窝。 几年后，它不仅站稳了脚跟，还反向打入美国市场，成为Go ...

| Weekly edition The world in brief War in the Middle East War in Ukraine United States The world economy Business Artifil | | --- | 中国的大学真的是世界最好的吗？《经济学人》杂志近日的一篇文章给出了肯定的答案。 文章说，十年前，科学杂志《自然》的出版商开始统计不同机构研究人员在145种权威期刊上发表的论文所作的贡献。2016年首次发布此类"自 然指数"时，尽管中国科学院排名第一，但美国和欧洲的机构占据了前十名里的大部分位置。 文章发现，近年形势逐渐发生了逆转。2020年，位于北京的清华大学进入前十。到2022年，牛津大学和剑桥大学被两所中国大学取代。到2024 年，前十名中只剩下三所西方国家大学或机构，分别是：哈佛大学、法国国家科学研究中心和马克斯·普朗克学会。今年，哈佛大学排名第 二，马克斯·普朗克学会排名第九。前十名中有八所大学或机构来自中国。 《经济学人》杂志文章截图 文章最后表示，"自然指数"是衡量一个机构或国家科研实力的有效指标，尽管评估难免存在不完整性，因为许多有价 ...

活动推荐 6 月 27～28 日的 AICon 北京站将继续聚焦 AI 技术的前沿突破与产业落地，围绕 AI Agent 构 建、多模态应用、大模型推理性能优化、数据智能实践、AI 产品创新等热门议题，深入探讨技术 与应用融合的最新趋势。欢迎持续关注，和我们一起探索 AI 应用的无限可能！ 小扎疯狂挖角 OpenAI、签约跳槽就发7亿奖金，奥特曼痛批：不懂创新，老"复制"人了 阶跃星辰高管离职，跳槽京东；百度最大规模抢夺顶尖AI人才，岗位增超60%；阿里自曝：被 DeepSeek逼急了 | AI周报 员工每天花1000美元也要用ClaudeCode！创始人：太贵了，大公司专属，但它比 Cursor 猛！ 你也「在看」吗？ 今日荐文 Claude时代终结？LMArena实测DeepSeek R1编程得分超Opus 4，但月暗称其新模型更胜一筹 特朗普AI计划在GitHub上泄露，网友怒喷用AI代码"治国"！ ...

Core Insights - ByteDance executives are being reassigned or leaving the company, indicating a shift in focus within the organization and the AI industry [1][2][4] - The competitive landscape for AI startups has intensified, leading to a strategic pivot towards technology prioritization over application development [2][12][15] - The transition from a focus on consumer applications to a technology-driven approach reflects the changing dynamics in the AI sector, particularly with the emergence of new competitors [4][12][19] Group 1: Executive Changes and Company Strategy - Zhang Xinhao, former head of the ByteDance product "Pipixia," has been reassigned to a consultant role, signaling a trend of executives transitioning to less active positions [1] - Other notable departures include Zhang Qianchuan and Ming Chaoping, who have left to pursue entrepreneurial ventures in AI [1][8] - The shift in strategy from application-driven to technology-driven is a response to increased competition from established tech giants and new entrants in the AI space [2][12] Group 2: Competitive Landscape and Market Dynamics - The AI sector is witnessing a saturation of investment and talent, prompting companies to reassess their strategies and focus on technological advancements [12][15] - The emergence of new players like DeepSeek and Manus has intensified competition, leading to a reevaluation of the capabilities of the so-called "AI Four Strong" [12][19] - The need for continuous innovation in model development is critical for maintaining relevance in the rapidly evolving AI landscape [19][20] Group 3: Talent Migration and New Ventures - Over 20 executives from ByteDance have transitioned to AI startups in the past two years, indicating a significant talent migration within the industry [8] - Former ByteDance talents are establishing new companies focused on AI applications, reflecting the ongoing entrepreneurial spirit within the sector [8][9] - The trend of high-profile talent leaving established firms for startups highlights the competitive nature of the AI talent market [7][8]

Core Insights - Nvidia has experienced significant volatility in its stock price throughout 2025, with a peak market capitalization of nearly $3.7 trillion and a subsequent decline of about $1.4 trillion [1][2] - Recent investor enthusiasm for Nvidia is attributed to a rebound in stock price and positive developments in AI infrastructure investments [2][10] Market Challenges - The emergence of Chinese AI start-up DeepSeek initially raised concerns about Nvidia's market position, as DeepSeek claimed to have developed competitive AI models at lower costs using older Nvidia architectures [3][5] - The announcement of steep tariffs by President Trump on imports, particularly affecting Nvidia's growth in China, contributed to a decline in Nvidia's stock price [7][8] Recovery Factors - Nvidia's stock has rebounded as trade negotiations between the U.S. and China have shown signs of easing tensions, although Nvidia has excluded China from its financial guidance [10][11] - The Stargate Project, a large-scale infrastructure initiative involving a $500 billion investment in U.S.-based data centers to support AI, has positioned Nvidia as a key technology partner [12][13] Strategic Diversification - Nvidia has been diversifying its ecosystem beyond hardware, developing the CUDA software platform to enhance GPU programming and investing in AI infrastructure leaders [15][16] - The company is transitioning to a full-stack provider of AI services, making it more competitive against peers like Advanced Micro Devices [17] - Potential future acquisitions in emerging areas such as robotics or autonomous driving could further diversify Nvidia's business [18] Future Outlook - Current analyst sentiment suggests Nvidia's stock could experience a breakout, with a market cap exceeding $3.5 trillion, competing closely with Microsoft for the title of the world's most valuable company [19] - The ongoing trends in AI infrastructure investment and Nvidia's strategic expansion efforts are expected to sustain its market leadership [20]

把你的眼睛蒙上，丢到一个陌生的房间里，你会怎么确定自己的位置？这就是室内无人机面临的第一个难题。 传统的光流 定位 方案 就像用鼠标原理来导航 ——通过拍摄地面纹理变化来判断移动。听起来不错，但遇到纯色地板就彻底懵圈。本人 见过某次展会上，一家公 司为了演示效果， 专门带了一卷花地毯铺在地上，场面一度很尴尬。 视觉 SLAM 倒是高级一些，通过摄像头"记住"周围环境的特征点，但它有个致命弱点：「开 灯我认识你，关灯我不认识你」。光线一变，定位精度直接腰斩。至于 UWB定位 ，虽然精度不错，但需要预先布置基站，4个基站加标签的成本就上万了，还失 去了无人机"即飞即走"的灵活性。 今年大赛推荐的光子 RC-L1选择了 目前最可靠的技术路线 ： 直接上激光雷达 。 激光的最大优势是不挑环境 ——不管是大理石地面还是花地毯，不管是白天还 是晚上，每秒扫描几十万个点，都能构建出精确的环境地图。但随之而来的挑战是 数据量爆炸 。传统方案是把数据传到地面站处理，可问题来了： 3米/秒的飞行 速度下，100毫秒的通信延迟就意味着30厘米的位置偏差。在避障时，这可能就是"擦肩而过"和"正面相撞"的区别。 朋友们，如果我告诉你， ...