以下文章来源于投资界 ，作者王露 投资界 . 清科创业旗下创业与投资资讯平台 本文来自微信公众号： 投资界 （ID：pedaily2012） ，作 者：王露，原文标题：《30岁，全球最年 轻女富豪诞生》，头图来自：视觉中国 AI的造富速度，比任何时代都来得惊人。 本周，全球最轰动一笔交易是：Meta斥资约150亿美元 （约合人民币1078亿元） 投向Scale AI，对 应公司估值达到290亿美元 （约合人民币2085亿元） 。 Scale AI始于2016年，当时两位90后华人少年Alexandr Wang和Lucy Guo双双退学创业。公司业务 是"向挖金子的人卖铲子"——为人工智能提供数据标注服务。 随着交易落地，刚刚30岁的Lucy Guo再次爆火。这位早已离职的创始人，凭借持有公司5%的股份， 身家暴涨，成为《福布斯》世界上最年轻的白手起家女亿万富豪。 一、Meta砸下千亿，全球最年轻 女富豪诞生 更多交易细节浮出水面。 据《金融时报》报道，Meta斥资约150亿美元入股Scale，取得49%股权。Scale对应估值达到了290亿 美元，是去年估值的两倍。 与其说是投资，更像是一次"人才收购"。作为 ...

欢迎大家 点击【预约】 按钮 预约 我 下一场直播 本文重点 观点来自： 6 月 9 日本周一直播 谷歌未来的目标是实现通用人工智能（AGI），即让机器具备与人脑同等的通用智能能力。DeepMind 团队对AGI有清晰定义，认为通用智能即机器能像人脑一样处理各种任务。尽管现阶段AI在某些简单任 务仍有不足，但正在不断弥补"认知漏洞"，逐步向真正的通用智能靠近。 【 强 烈建议直接看】 本段视频精华，逻辑更完整 谷歌与特斯拉被认为是最接近实现"世界模型"的两家公司，谷歌依托YouTube海量视频数据，特斯拉则 依靠车辆摄像头采集的现实世界数据。这些多维度的现实数据对训练通用智能极为关键，远超单一文本 数据的深度。 文字版速览 总的来说，谷歌的AI技术不仅扎实，更具备创新和超越的潜力。未来几年，谷歌AI有望在智能发现、 模型完善以及通用智能方向实现突破，继续保持其在AI领域的领先地位。作为关注AI发展的朋友，我 认为谷歌值得持续跟踪和关注。 谷歌作为AI领域的重要玩家，其发展历程和技术积累值得深入分析。谷歌母公司Alphabet的架构设计十 分巧妙，它将多个创新子公司独立运营，如Google、DeepMind、I ...

Group 1 - The core viewpoint of the article highlights the current trends in domestic investment and financing activities, indicating a decrease in the number of financing events compared to the previous week [5][6]. - A total of 88 financing events were disclosed in the domestic primary market this week, a decrease of 27 events from the previous week, with a total financing scale of 2.503 billion RMB [5][6]. - The average financing amount per event is approximately 83 million RMB [6]. Group 2 - The most active sectors in terms of financing events this week are intelligent manufacturing, artificial intelligence, and healthcare, with 17, 14, and 8 events respectively [8]. - The highest financing scale among disclosed amounts is in the enterprise services sector, totaling approximately 720 million RMB, with significant funding for the AI infrastructure company "Silicon-based Flow" [8]. - The automotive transportation sector follows with a disclosed financing total of 420 million RMB, highlighted by the A-round financing of "East China Test Field" [8][9]. Group 3 - The regional distribution of disclosed financing events is primarily concentrated in Jiangsu, Shanghai, and Guangdong, with 17, 14, and 14 events respectively [12]. - Jiangsu reported a total financing of 200 million RMB from 5 disclosed events, while Shanghai had 635 million RMB from 6 events [15]. - The early-stage financing events dominate with 68 occurrences, while growth-stage and late-stage events account for 16 and 4 respectively [16]. Group 4 - This week, 7 companies were monitored for IPOs, with the highest market value being "Insta360" at 65.243 billion RMB [27]. - Most of the listed companies had prior investments from VC/PE or CVC, indicating a strong backing from investment firms [27]. - The article details the historical investors for each IPO, showcasing a diverse range of investment firms involved [28]. Group 5 - There were 11 disclosed completed M&A events this week, consistent with the previous week, spanning traditional industries, intelligent manufacturing, and healthcare [30][31]. - A notable transaction includes the acquisition of "China Ocean Shipping Passenger Transport" by Haixia Co. for 2.515 billion RMB [30]. - Other M&A activities include various companies in the intelligent manufacturing sector, with specific financial details provided for each transaction [33].

Group 1 - The core viewpoint of the article highlights the recent trends in domestic investment and financing activities, indicating a decrease in the number of financing events compared to the previous week [5][6]. - A total of 88 financing events were disclosed this week, which is a decrease of 27 events from the previous week [5]. - The total financing amount for disclosed events reached 2.503 billion RMB, with an average financing amount of 83 million RMB per event [6]. Group 2 - The most active sectors in terms of financing events this week were intelligent manufacturing, artificial intelligence, and healthcare, with 17, 14, and 8 events respectively [8]. - In terms of disclosed financing amounts, the enterprise services sector led with a total financing scale of approximately 720 million RMB, including significant funding for the AI infrastructure company "Silicon-based Flow" [9][10]. - The automotive and transportation sector followed with a disclosed financing total of 420 million RMB, highlighted by the A-round financing of "East China Test Field" [11]. Group 3 - The regional distribution of disclosed financing events was primarily concentrated in Jiangsu, Shanghai, and Guangdong, with 17, 14, and 14 events respectively [15]. - The early-stage financing events dominated the market with 68 occurrences, while growth-stage and late-stage events accounted for 16 and 4 events respectively [18][19]. Group 4 - This week, 7 companies were monitored for IPOs across various exchanges, with the highest market value being "Insta360" at 65.243 billion RMB [30]. - Notably, 6 out of the 7 listed companies had previously received VC/PE or CVC investments, indicating a strong backing from investment firms [30]. Group 5 - There were 11 disclosed completed M&A events this week, consistent with the previous week, spanning traditional industries, intelligent manufacturing, and healthcare [33][34]. - A significant transaction included Haixia Co., which acquired 100% of the shares of the maritime passenger service provider COSCO Shipping Passenger for 2.515 billion RMB [33].

AI造富。 作者 I 王露 报道 I 投资界PEdaily AI的造富速度，比任何时代都来得惊人。 Meta砸下千亿 全球最年轻女富豪诞生 本 周 ， 全 球 最 轰 动 一 笔 交 易 是 ： Me t a 斥 资 约 15 0 亿 美 元 （ 约 合 人 民 币 1 07 8 亿 元 ） 投 向 Sc a l e AI，对应公司估值达到290亿美元（约合人民币2 0 85亿元）。 Sc a l e AI 始 于 2 0 16 年 ， 当 时 两 位 9 0 后 华 人 少 年 Al e x a n dr Wa ng 和 Lu c y Gu o 双 双 退 学 创 业。公司业务是"向挖金子的人卖铲子"——为人工智能提供数据标注服务。 随着交易落地，刚刚30岁的Luc y Gu o再次爆火。这位早已离职的创始人，凭借持有公司 5%的股份，身家暴涨，成为《福布斯》世界上最年轻的白手起家女亿万富豪。 更多交易细节浮出水面。 据《金融时报》报道，Me t a斥资约15 0亿美元入股Sc a l e，取得4 9%股权。Sc a l e对应估值 达到了29 0亿美元，是去年估值的两倍。 与 其 说 是 投 资 ， 更 ...

2025 WAIC 云帆奖全球征集已进入倒数 3天，小伙伴们赶快 on board！点击文末「阅读原 文」完成报名或提名！ 在全球 AI 创新格局加速重塑之际，2025 WAIC 云帆奖以「聚智・共进」为主题，继续发掘和表彰 AI 青年 先锋。从基础理论突破到产业实践创新，从跨学科交叉到开源生态建设，我们寻找能够在通往 AGI 的征途 上贡献中国智慧的青年才俊，并将为奖项得主提供学术影响、科研资助、产业生态全方位赋能。 现在，三位重量级奖项召集人向你发出诚挚邀请： WAIC 云帆奖得主赋能计划 学术影响力跃升 ：在 WAIC 揭晓获奖名单并颁发证书，提升获奖者国际知名度与学术影响力。为有意愿者 向知名高校、科研机构推荐工作；提供与国际顶尖学术机构、学者交流合作机会，如受邀参加国际会议作 汇报。 奖项设置 璀璨明星 明日之星 百万级科研加速 ：联合科研机构提供重点科研项目资助内推，资助金额最高可达数百万；提供算力资源， 助力突破算力瓶颈；多渠道推广研究成果，提升影响力与应用价值。 产业生态赋能 ：组织与知名企业、科研机构对接，提供项目实践机会，推动产学研融合。为有创业意愿者 提供创业培训、资金及上下游企业对接等 ...

而伴随着些信息刷屏科技圈的同时， 图灵奖得主、Meta首席AI科学家Yann LeCun（ 杨立昆 ）被边缘化、离职 的消息也不胫而走。 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： 千万年薪招揽行业大牛，组建 超级智能实验室、重金投资 [ Scale AI]，Meta最近在大模型层面动作颇多！ 近日，消息称Meta将以148亿美元收购 AI数据标注创企 [Scale AI]49% 的股权，而作为交易一部分，[Scale AI] CEO Alexandr Wang 将在Meta内部担任高级职位，领导最新组建的超级智能实验室。 随着Alexandr Wang于6月13日X平台发布公开信，表示我将离开 Scale，加入 Meta，参与其AI工作；做实往期 一切媒体报道。 随着生成式人工智能时代的来临，由 LeCun成立并领导的 FAIR （ 人工智能研究实验室 ）就 ...

Meta Platforms正式敲定对人工智能初创公司Scale AI进行一笔高达143亿美元的战略投资，并同时聘请 该公司联合创始人兼首席执行官汪滔（Alexandr Wang）加入其AI团队，这是一笔不同寻常且意义重大 的交易，标志着Meta在人工智能竞赛中加速追赶的决心。 Meta在周四的一份声明中确认了与Scale AI达成战略合作伙伴关系和投资的消息，但并未披露具体金 额。据一位知情人士透露，这笔投资总额为143亿美元，使Scale的估值超过290亿美元（包含此次融 资）。 作为协议的一部分，Scale的首席执行官汪滔将加入Meta的人工智能团队，在"超级智能"部门担任新职 务，该部门致力于开发能够达到甚至超越人类表现的AI系统——即业界所称的通用人工智能（AGI）。 汪滔将继续作为Scale董事会成员。 消息人士表示，Meta将获得Scale 49%的股权，购入的是无投票权股份。Meta发言人表示： "我们已经完成了与Scale AI的战略合作和投资。作为合作的一部分，我们将进一步加强双方 在AI模型训练数据方面的协作。" 汪滔在一份声明中表示，这笔投资"认可了Scale取得的成绩"，也凸显了人工 ...

Core Insights - The article discusses the necessity of world models for general agents in achieving flexible, goal-directed behavior, emphasizing that any AI capable of generalizing to multi-step tasks must learn a predictive model of its environment [4][9][20]. Group 1: Importance of World Models - World models are essential for agents to generalize across complex, long-term tasks, as they allow for the prediction of future states based on current actions [4][5][9]. - Google DeepMind's research indicates that learning world models is not just beneficial but necessary for achieving human-level artificial intelligence [9][20]. Group 2: Theoretical Framework - The authors developed a mathematical framework consisting of four components: environment, goals, agents, and world models, to formalize the relationship between these elements [24][30]. - The framework posits that any agent capable of handling simple goal-directed tasks must learn a predictive model of its environment, which can be extracted from the agent's policy [20][30]. Group 3: Algorithm for World Model Recovery - The article outlines an algorithm that allows for the recovery of world models from bounded agents by querying them with carefully designed composite goals [37][39]. - Experiments demonstrated that even when agents deviated from theoretical assumptions, the algorithm successfully recovered accurate world models, confirming the link between agent capabilities and the quality of the world model [40][46]. Group 4: Implications for AI Development - The findings suggest that the race for superintelligent AI may actually be a competition to build more complex world models, transitioning from a "human data era" to an "experience era" [49][52]. - The development of foundational world models like Genie 2, which can generate diverse 3D environments from a single image, represents a significant advancement in training and evaluating embodied agents [51][52].

Core Viewpoint - Yunzhisheng Intelligent Technology Co., Ltd. is set to become the first "AGI stock" in Hong Kong this year after passing the Hong Kong Stock Exchange hearing and disclosing relevant information [2][3] Company Overview - Founded in 2012, Yunzhisheng specializes in providing intelligent voice technology and comprehensive AI solutions, focusing on the smart voice sector [6] - The company has developed several key products, including the UniCore language model and the UniOne AI chip series, and recently launched a self-developed 600 billion parameter model [6] - Yunzhisheng's AI computing cluster has over 184 PFLOPS and more than 10 PB of storage capacity, supporting its technology development [6] Business Model and Market Position - The company primarily serves the life and medical sectors, with clients including China's top three insurance groups [7] - Yunzhisheng offers AI capabilities through a MaaS model, providing API services and customized AI technology platforms [7] - According to Frost & Sullivan, Yunzhisheng is the fourth largest AI solution provider in China by revenue in 2024, with a market share of 0.6% [9] Financial Performance - The company has completed 11 rounds of financing totaling over $340 million, with a valuation around 10 billion [9] - Revenue for 2022, 2023, and 2024 is projected at 601 million, 727 million, and 939 million respectively, with a compound annual growth rate of 25% [9] - Despite revenue growth, the company reported net losses of 375 million, 376 million, and 454 million for the same years [9] Funding and Future Outlook - The IPO proceeds will be used to enhance R&D capabilities, invest in emerging business opportunities, and support international expansion [13] - The company has raised over 700 million RMB in its D3 financing round in 2023, ensuring sufficient operational funds for at least the next 12 months [10] - Yunzhisheng anticipates continued net losses due to ongoing R&D investments and financing costs related to redeemable securities [10]