Xin Lang Ke Ji
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王兴兴“凡尔赛”发言:最后悔的是大学时没做AI,转去做机器人了
Xin Lang Ke Ji· 2025-09-11 03:28
Core Insights - The founder and CEO of Yushu Technology, Wang Xingxing, expressed regret for not pursuing AI during his university years, despite having a strong interest in related fields such as nuclear fusion and neural networks [1] - Wang highlighted that while AI applications like AI painting have proliferated in recent years, the use of AI in practical work remains limited, indicating a significant opportunity for growth in this area [1] - He emphasized that the current AI era is equitable, suggesting that with dedication and effort, there are still numerous opportunities available for those willing to engage in AI development [1]
宇树科技王兴兴:AI在在信息领域已经非常好,但真正让AI干活整个领域都是荒漠
Xin Lang Ke Ji· 2025-09-11 03:28
王兴兴总结,这个时代对我个人来说是非常激动人心的,AI时代是非常公平的时代,比以前要公平非 常多,只要你聪明,你愿意做事,你能做很多,想达到自己想要的目标,大家都有可能在荒漠上长出参 天大树。(罗宁) 责任编辑:江钰涵 专题:2025 Inclusion·外滩大会 新浪科技讯 9月11日上午消息,今日外滩大会现场,宇树科技创始人王兴兴表示,现在的语言模型在信 息领域,包括文字、图像领域已经做的非常好了,比99.99%的人要好,但在真正的让AI干活这个领 域,整个领域都是荒漠,顶多就是荒漠上长了几颗小草,真正的大规模爆发性增长的前夜还没有到来。 ...
Robo.ai宣布与亿维特航空合资设立迪拜电动飞机公司RoVTOL
Xin Lang Ke Ji· 2025-09-11 03:25
Core Viewpoint - Robo.ai Inc. and Yiwit Aviation have established a joint venture named RoVTOL in the UAE to develop electric vertical takeoff and landing (eVTOL) aircraft, aiming for global market expansion [1] Group 1: Joint Venture Details - The joint venture RoVTOL will focus on the global sales of eVTOL aircraft, with initial models including ET1, ET2, ET3, and ET9, targeting urban air mobility, emergency rescue, and logistics [1] - Robo.ai's CEO Benjamin Zhai will serve as the chairman of RoVTOL, while Yiwit Aviation's Chief Product Officer Steven Wang will take on the role of CEO [1] Group 2: Contributions and Support - Robo.ai will provide local capabilities, regulatory approval support for the Middle East market, and global market development to establish a foundation for RoVTOL's operations [1] - Yiwit Aviation will grant Robo.ai priority licensing rights for its eVTOL technology and products overseas, along with technical support and personnel training to ensure the technological leadership of the joint venture's core products [1] Group 3: Local Operations - The plan includes establishing a local assembly factory in the UAE to enable rapid delivery of eVTOL aircraft [1]
支付宝发布AI就业助手“晓叶”:实现全流程智能化
Xin Lang Ke Ji· 2025-09-11 03:07
新浪科技讯 9月11日上午消息,近日在外滩大会上,支付宝数字就业团队正式发布AI就业助手"晓叶", 依托人工智能大模型与数字人技术,进一步提升企业招聘与求职者找工的体验,打造AI时代高效、智 能、可信赖的就业服务新模式。 专题:2025 Inclusion·外滩大会 责任编辑:江钰涵 支付宝数字民生事业部数字就业总经理张贵彬介绍,此次发布的AI就业助手"晓叶"将通过4大核心能 力,包括撮合匹配岗位、在线面试、职业规划和培训推荐,提升就业市场两端的服务。(罗宁) ...
中国恒大集团被执行11.9亿,近期被执行共19.8亿
Xin Lang Ke Ji· 2025-09-11 03:07
责任编辑:李昂 | | 缔造有远贝的面业传奇 | | 中国恒大集团 | | --- | --- | --- | --- | | 首次执行 | | | | | 案号:(2025) 粤01执3928号 | | | | | | | | 被执行人:中国恒大集团,广州市鑫源投资有限公司,恒大地产集团有限公司,朱高飞,深圳盛佳泽贸易有限公司 | | 法院:广东省广州市中级人民法院 | | | | | 2025-08-18 ● 被执行人 | | | 被执行人:中国恒大集团 执行标的:789.632.190.00元 | | | | | 被执行人:深圳盛佳泽贸易有限公司 - 执行标的:785,822,910.00元 | | | | | 疑似申请执行人:广州市金碧恒盈物业服务有限公司 | | | | | 被执行人:恒大地产集团有限公司 执行标的:785,822,910.00元 | | | | | 疑似申请执行人:广州市金碧恒盈物业服务有限公司 | | | | | 被执行人:黄李鑫宇 执行标的:785,822,910.00元 | | | | | 疑似申请执行人:广州市金碧恒盈物业服务有限公司 | | | | | 被执行人:广州市鑫 ...
微信:过去半年平均每周诞生一部千万级爆款短剧
Xin Lang Ke Ji· 2025-09-11 02:58
Core Insights - The 2025 WeChat Advertising Ecosystem Partner Conference showcased the latest advancements in commercialization across various segments of the WeChat ecosystem, highlighting a thriving commercial ecosystem with a growing number of partners [1] Group 1: WeChat Advertising Growth - In the past year, WeChat advertising has helped nearly 8 million developers and creators monetize their content [1] - The number of creators publishing articles daily increased significantly, with daily reading volume for articles growing over threefold year-on-year [1] - The number of monetizing creators and advertising revenue from the WeChat public account ecosystem has shown stable growth [1] Group 2: Mini Games Performance - WeChat mini games have demonstrated strong monetization performance, with revenue growth for four consecutive years and a steady increase in player scale and engagement [2] - The number of developers monetizing mini games saw double-digit growth from January to August this year, with the number of mini games launched from January to May increasing by 165% [2] - The proportion of revenue from pure IAA mini games has reached 70%, becoming a key driver for monetization growth [2] Group 3: Short Dramas and Novels - The rapid growth of short dramas and novels has led to impressive monetization results, with a significant increase in the number of developers for short drama mini programs, growing over 40% in the past six months [2] - Daily monetization revenue for short dramas has reached tens of millions, with an average of one blockbuster short drama generating over ten million in revenue each week [2] - The advertising monetization scale for novel mini programs has increased twelvefold in the past year [2] Group 4: Developer Support and Revenue Sharing - The platform supports short drama developers with up to 90% revenue sharing, along with cash incentives and advertising funds for stable returns [3] - Developers can enhance creative production and advertising efficiency using Tencent's advertising tools, such as creating promotional materials for short dramas and novels [3] Group 5: Financial Performance - Tencent's Q2 2025 financial report indicated that advertising revenue reached a record high of 35.8 billion yuan, benefiting from AI-driven improvements and enhancements in the WeChat transaction ecosystem, achieving double-digit growth for 11 consecutive quarters [3]
图灵奖得主理查德·萨顿:我们正进入“经验时代”需要一种新的数据源
Xin Lang Ke Ji· 2025-09-11 02:51
Core Viewpoint - The emergence of the "Experience Era" in artificial intelligence emphasizes the need for new data sources that evolve with the intelligence of agents, akin to self-play in computer games [1][3][4] Group 1: Scientific Development Trends - The current state of AI is characterized by a reliance on human data, which limits the ability to generate new knowledge and sustain learning [2][4] - The concept of "experience" is defined as the interaction between agents and the world, consisting of observation, action, and reward, which is essential for learning [4][3] - Future advancements in AI will require technologies for continuous learning and meta-learning to fully harness the potential of experience [4][10] Group 2: Political Implications - AI has become a highly politicized issue, with concerns about bias, unemployment, and existential risks prompting calls for regulation and control [5][8] - The fear surrounding AI is often exaggerated and fueled by certain organizations, reflecting a broader human tendency to distrust others [6][8] - The core conclusion is that the prosperity of both AI and humanity relies on decentralized collaboration rather than centralized control [8][6] Group 3: Philosophical Considerations - AI is viewed as a natural extension of humanity's quest for understanding intelligence, which has been a longstanding pursuit in philosophy [9][10] - The evolution of AI is seen as a necessary step in the universe's progression, with humans acting as catalysts in this transition to a "Design Era" [10][11] - The unique role of humans is to elevate design to unprecedented levels, ultimately leading to the creation of self-designing entities [11][10]
马永生谈绿色低碳发展:为高端产业预留必要碳排放空间,避免“一刀切”
Xin Lang Ke Ji· 2025-09-11 02:43
"我们有信心在大的能源转型过程当中做排头,争第一。"马永生说。 (中国石油化工集团有限公司原董事长、党组书记,第十四届全国政协委员马永生在第四届生态环保产 业服务"双碳"战略院士论坛发言) 登录新浪财经APP 搜索【信披】查看更多考评等级 9月11日消息,2025年中国国际服务贸易交易会正在进行中,在服贸会主论坛之一的第四届生态环保产 业服务"双碳"战略院士论坛上,中国石油化工集团有限公司原董事长、党组书记,第十四届全国政协委 员马永生在发言中表示,从气候变化应对来看形势不容乐观,按照当前发展趋势,能源燃烧相关碳排放 预计在2030年达到356亿吨二氧化碳,要实现《巴黎协定》设定的温控目标,特别是1.5度目标面临巨大 挑战。 马永生指出,我国能源消费预计在"十五五"增幅将较"十四五"减半,年均增速将从4%回落到2%。但值 得关注的是能源消费总量与碳排放总量开始出现分化趋势。能源活动相关的二氧化碳排放总量正在进入 平台期,预计将在"十五五"中期达峰,峰值规模在108亿~112亿吨,较2024年高出了2亿~6亿吨。造成了 能源消费与碳排放分化的原因主要是化石能源,特别是煤炭、石油与非化石能源的此消彼涨,还有石油 ...
院士张宏江:Agent Economy时代,人类组织构成和就业将发生变化
Xin Lang Ke Ji· 2025-09-11 02:43
Core Insights - The "Agent Economy" era will lead to changes in human organizational structure and employment dynamics [1] - Business growth in the AI era will focus on increasing computational power (GPU) rather than human resources [1] - The emergence of "super individuals" due to technological changes poses structural unemployment risks [1] - There is a need to rethink future social structures and tax systems, as well as the opportunities provided to the job market [1]
院士张宏江:Agent将替代企业流程,也会改变未来的人类组织构成
Xin Lang Ke Ji· 2025-09-11 02:34
Core Insights - The emergence of DeepSeek R1 has significantly reduced the cost of inference models while maintaining performance close to the best models available, indicating a potential for increased demand as costs decrease [1] - The launch of ChatGPT marked a pivotal moment, with its daily active users nearing 30% of search engine usage by March this year, highlighting the integration of large models into daily life [1] - The rapid improvement in model performance and reduction in usage costs are expected to continue, driving the development of large models and their impact on various industries [1] - The concept of agents is evolving, with their planning capabilities growing exponentially, suggesting a new phase in AI development referred to as Moore's Law 3.0, where agent capabilities double every seven months [1] - AI is transitioning from being an assistant to becoming a partner, indicating a shift in the relationship between humans and machines, which will alter organizational structures and employment in the future [2]