今年是十四五收官、十五五开启的关键节点，五年规划进入框架搭建阶段，重磅会议即将敲定目标和任 务。今天这条视频就从大家比较关心的问题出发，给大家5个追踪十五五战略的重要思路。 ...

也许是大数据算法的缘故，最近在抖音等社交媒体，刷到了很多"农村掰玉米"的短视频。这不是什么最新的互联网流量，只是恰逢假期，返乡大学生们用 他们的手机记录下的最真实的收玉米场景：全副武装、头戴草帽、长袖长裤，走进田埂、开启摘玉米的劳作。 每年10月，都是北方地区玉米丰收的时刻。但今年，有些不一样：本应尘土飞扬的丰收，却被不寻常的连日降雨打破。 社交媒体上的"收玉米"视频 天不遂人意 大部分时候，雨被农民视为丰收的象征。有了雨，农作物就可以茁壮成长，就可以省一次浇地的钱。但作物收获时，就不再盼着雨来了，既有传统的因 素，也有现代的逻辑。 今年玉米收获季，在山东、河南这片广阔的平原，本该秋收的日子却迎来了一场连绵的雨。这意味着玉米会被雨水持续泡着，然后发霉；收割机进不了泥 泞的土地，机械化收割没有用武之地；玉米运输车也不能装太多，否则就会陷在地里。 根据相关统计，截至2024年底，我国农作物耕种收综合机械化率已经超过74％。在北方平原地区，这一数字更高，例如山东的农作物耕种收综合机械化率 高达91.7％。但与一般人的想象有所不同，农业机械并非万能，其能力边界仍牢牢地为地形、天气所限制，当雨打湿土地时，常规的轮式收割 ...

Core Insights - The current AI development may lead to either AGI or a more sophisticated word predictor, which significantly impacts market psychology [2] - A report from MIT indicated that 95% of corporate AI investments yielded zero returns, suggesting a fragile market sentiment [2] - The potential for AI to replace low-level white-collar jobs could liberate humans for more meaningful work, but many individuals may struggle to adapt [3] Group 1 - The discussion on AI's trajectory is crucial as it addresses whether the current advancements will lead to AGI or merely enhance predictive capabilities [2] - Experts' opinions on AI's future have a substantial influence on market sentiment, with pessimistic views highlighting the risks of overvaluation [2] - The notion that AI can handle trivial tasks suggests it may replace jobs that do not utilize higher-level human intelligence [2][3] Group 2 - The short-term effect of AI adoption may boost capital profits, but long-term implications could lead to a decline in overall demand as wealth distribution favors capital [4] - Historical context indicates that significant advancements from the first internet boom took about a decade to materialize, raising concerns about potential downturns in the current AI cycle [4] - The resilience of the market may prove more critical than the initial explosive growth of AI technologies [4]

Core Viewpoint - The supermarket strategy is highly sought after, raising questions about its potential for profitability and wealth generation in the A-share market [1] Group 1 - The supermarket business model is perceived as a way to achieve financial freedom, particularly in the context of the A-share market [1] - There is a growing interest in the effectiveness of supermarket strategies in maximizing profits while minimizing losses [1] - The article explores the feasibility of starting a supermarket in the A-share market and its implications for wealth accumulation [1]

Core Points - Google has decided to terminate its Privacy Sandbox project, including key technologies such as Topics and Protected Audiences, due to low adoption rates and industry feedback [1][2][8] - The UK Competition and Markets Authority (CMA) has also announced that Google is no longer required to fulfill its regulatory commitments regarding the Privacy Sandbox, as the basis for these commitments has been deemed no longer applicable [2][48] Summary by Sections Project History and Development - The Privacy Sandbox was launched in 2019, with Google updating its timeline almost annually, often citing the need for more time [4][6] - The project aimed to replace third-party cookies with a system that would protect user privacy while allowing advertisers to continue functioning effectively [17][18][32] Challenges and Industry Response - Over the years, the project faced significant delays and simplifications, leading to a fragmented system rather than a cohesive solution [30][32] - Major companies expressed concerns about the effectiveness of the Privacy Sandbox, with reports indicating that ad revenue could drop significantly if third-party cookies were replaced entirely [33][34] Regulatory Involvement - The CMA was the first regulatory body to scrutinize the Privacy Sandbox, implementing a unique oversight mechanism that required Google to disclose technical details and obtain approval for changes [41][42] - As Google announced it would not proceed with the original plan to phase out third-party cookies, the CMA's regulatory framework lost its relevance [48][50] Implications for the Advertising Ecosystem - The termination of the Privacy Sandbox signifies a setback for efforts to establish a unified standard for online advertising privacy, leading to a more fragmented advertising technology landscape [60][62] - The failure of the Privacy Sandbox raises concerns about the future of cross-platform data flow, with advertisers potentially funneling budgets into closed ecosystems like Meta, Amazon, and TikTok [60][62]

不死鸟孙宏斌，带领融创闯过生死关！债务重组获高票通过，年省利息数十亿。从绝境求生到业务重 整，老孙手中仍有1.24亿㎡土地王牌，能否再次逆风翻盘？ ...

从凌晨的广州白云国际机场出发，中转埃塞俄比亚，历经近20个小时后，吴海鹏落地贝宁共和国最大港口城市科托努，开启了他在非洲的外派之旅。 吴海鹏毕业于中南林业科技大学，在今年通过校招进入到一家国有企业，担任驻非翻译。随着"一带一路"倡议的提出，越来越多中国企业将目光投向充满 潜力的非洲大陆；而一些像吴海鹏这样的年轻人，也通过校招、社招等途径前往非洲"淘金"。 金九银十校招季，新一轮的秋招正在火热进行，外派非洲依旧是不少人"心动的offer"。外派非洲需要满足哪些条件？真实的非洲务工体验是怎样的？中国 企业在非洲的建设又如何？我们尝试用数据来回答这些问题。 外派非洲，有哪些要求？ 想要去非洲工作，可不单单是下定决心漂洋过海这么简单。 对于吴海鹏来说，普通一本毕业的背景在他入职的国企中并不拔尖，HR和领导的"特别关注"让他有着不小的压力。从害怕被"放鸽子"到担心专业水平不 足以应对驻非的工作，是吴海鹏也是不少求职者的心路历程。 为此，我们统计了驻外之家平台外派非洲岗位的招聘要求，看看想要收获这份高薪工作，求职者需要拿出怎样的简历。 从类型来看，我国企业外派人员驻非洲大致集中在公司管理层、技术人员、商务市场开发人员以及 ...

当同事见到我在长假旅行登记表上填了"乌兹别克斯坦"的时候，这样问我："乌兹别克斯坦究竟有什么呢？" 他们或许只是为了找个话题，并不期待多少正经的答案。但我发现，我确确实实地被问住了——关于这个国家，我似乎是如此草率地确定了它作为长假目 的地，但直到临出发的前一日，我的脑海里仍然没有一张经典、合适的影像来代表它。我试图说服自己，这也是一个经历过革命、独立和工业化的现代国 家，但是稍不留神，我的脑海里又只剩下沙漠、绿洲、骆驼、低矮的房屋、以及喉咙的干渴感。 所以，当飞机从西安起飞，底下的大地以肉眼可见的速度趋于荒凉的时候，我开始准备这一篇笔记。我想起在2022年《来点旅行又如何》里，我引用了村 上春树的《老挝到底有什么？》他如此回答：就算这么问我，我也无法作答，我不正是为了寻找那个'什么'，这才要到老挝去的吗？这个回答如今看来也 充满了灵气——我想要的，正是一个能变成画面、声音、气味，留在我脑子里的真实的"什么"。 中亚是一个陌生的邻邦。要想看一个中国人对此地有多少了解，只要看他知道多少历史中的名字。如果有人能提到准噶尔、浩罕和阿古柏，表明他对中亚 和中国在近代的纠葛已有所了解；而如果有人谈到花剌子模和玉龙杰赤， ...

Core Insights - The automatic driving industry is experiencing a battle for narrative control over next-generation technologies, with companies like Li Auto and XPeng betting on VLA (Visual Language Action) as the future architecture, while Huawei promotes its self-developed WA (World Behavior Architecture) [1][2][20] - The rapid emergence of jargon in the industry reflects the struggle for technological branding and user perception, as hardware and configurations become increasingly homogeneous [1][2][27] Group 1: Evolution of Technology - Before 2022, the evolution of automatic driving technology was primarily defined by Tesla and Waymo, with terminology focused on objective descriptions of specific functions [3] - Tesla's introduction of the BEV+Transformer architecture in 2021 marked a significant shift from rule-based systems to AI-driven approaches, enhancing perception capabilities [4][5][6] - The transition to an end-to-end paradigm was catalyzed by Tesla's AI DAY in 2022, which integrated perception and planning into a single neural network, significantly improving obstacle recognition [9][10] Group 2: Adoption of New Models - Chinese automakers quickly adopted Tesla's technology, with companies like XPeng and NIO implementing their own versions of the BEV+Transformer model for mass production [8][10] - The industry is moving towards end-to-end systems, with XPeng and Huawei initially adopting a multi-stage approach for safety reasons, before transitioning to fully integrated models [10][12] - The introduction of VLA and world models into automatic driving systems represents a new frontier, with companies like Yuanrong Qixing and NIO leading the charge in applying these concepts [17][20] Group 3: Competitive Landscape - The competition among companies is not only about technology but also about computational power, with XPeng and Li Auto investing heavily in cloud computing capabilities, boasting figures of 10 EFlops and over 13 EFlops respectively [18][19][55] - The race for computational resources extends to both vehicle and cloud platforms, with Tesla's Dojo and other companies ramping up their AI training capabilities [18][57] - The rapid evolution of VLA and world models is indicative of a broader trend where companies are leveraging advanced AI techniques to enhance their automatic driving systems [20][46] Group 4: Future Directions - The world model concept, initially used for simulation, is now being applied in real-time vehicle control by companies like NIO and Huawei, aiming for more predictive and human-like driving experiences [20][24][25] - The emergence of terms like VLA and world models highlights the industry's shift towards integrating language understanding and real-time decision-making into automatic driving systems [46][59] - The ultimate success in this competitive landscape may hinge on a company's ability to translate technological promises into tangible user experiences, rather than merely marketing jargon [30][29]

Core Insights - The article discusses the latest developments in the automotive industry for October, highlighting new vehicle launches and advancements from various companies [1] Group 1: New Vehicle Launches - Leap Motor has introduced a new model priced at half the cost of the AITO brand, indicating a competitive pricing strategy in the electric vehicle market [1] - Xpeng Motors has added a mysterious liquid to its vehicles, suggesting potential innovations in technology or performance enhancements [1] - Audi is accelerating its localization efforts in China, which may enhance its market presence and competitiveness in the region [1]