Core Insights - The future of AI transformation is expected to unfold over the next decade, with significant advancements occurring in cycles of approximately ten years [3][19] - AI development is described as "evolutionary," relying on the interplay of computing power, algorithms, data, and talent, which mature over time [7][8] - Each major breakthrough in AI corresponds to a shift in human understanding of intelligence, with the last decade marking a transition from machines "seeing" to machines "thinking" [10][15] Group 1 - The first major AI breakthrough occurred in 2012 with AlexNet, enabling machines to "see" and understand images [24] - The second breakthrough in 2016 was marked by AlphaGo defeating Lee Sedol, showcasing machines' ability to "act" and make decisions [27] - The current era, starting in 2022, is characterized by large language models that allow machines to "think," generating and reasoning in human-like dialogue [31] Group 2 - AI's growth is limited by human understanding, necessitating a decade for society to adapt to each major technological revolution [13][14] - The concept of AI as a "ghost" rather than an animal emphasizes that AI intelligence is derived from human knowledge and imitation rather than evolutionary processes [42][46] - AI's learning is fundamentally different from human learning, lacking motivation and depth, which raises questions about its classification as a true "intelligent agent" [60][69] Group 3 - The distinction between AI memory and human memory is crucial; AI memory is static and lacks the emotional and temporal context that human memory possesses [72][76] - The potential for AI to develop a form of self-awareness hinges on its ability to reflect on its own processes and decisions, marking a significant evolution in its capabilities [81][87] - As AI approaches a state of self-awareness, it presents both opportunities and challenges for human coexistence with these emerging entities [88]

轻则吃到嘴巴肿，重则吃进ICU，脑袋劝了无数遍，放下筷子嘴巴却越嚼越停不下来，这就是一道辣味 菜肴的魔力，让你吃一口就欲罢不能。明知道辣的感觉其实是一种轻微灼伤，吃完之后还容易闹肚子， 那为什么中国人就是舍弃不下筷子上夹的辣椒？ ...

Core Viewpoint - CreateAI, formerly known as TuSimple, has pivoted from autonomous driving to the gaming and generative AI industry after a significant decline in market value, aiming to leverage its existing technology and IP resources for a successful transformation [2][5][7]. Group 1: Company Transformation - CreateAI launched in August 2023, featuring Asia's largest motion capture studio in Beijing, equipped with 130 Vicon optical motion capture devices [1]. - The company transitioned from TuSimple, which was once valued at over $16 billion, to focus on gaming and generative AI after facing regulatory challenges and a drastic drop in market value [3][5][7]. - The decision to pivot was influenced by the management's realization of the long and complex supply chain in autonomous driving, prompting a search for a clearer business path [20][22]. Group 2: New Business Ventures - CreateAI has developed a video generation platform called Animon, which allows users to create anime videos from a single image or idea, and has seen success in Japan [1][19]. - The company secured IP rights for 15 works from the renowned "Jin Yong" martial arts series, planning to develop a AAA game titled "Jin Yong Heroes" [12][13]. - The game is expected to enter closed beta testing by late 2025 and be fully released by early 2028 [15]. Group 3: Competitive Advantages - CreateAI possesses a rich accumulation of AI technology and sufficient funding, which is advantageous compared to typical startups in the gaming industry [23]. - The company holds exclusive global rights to adapt "Jin Yong Heroes" and "The Three-Body Problem," which are significant IPs in the market [24]. - The strategy includes a combination of high-return projects like AAA games and a UGC platform centered around Animon, aiming to create a sustainable revenue model [28][30]. Group 4: Market Insights - The global market for gaming and anime content is approximately $25 billion annually, indicating a substantial opportunity for growth [28]. - The use of generative AI in content creation is expected to reduce production costs significantly, making it more feasible to produce anime content [19]. - CreateAI aims to build a community around Animon, addressing the current lack of accessible platforms for anime enthusiasts to create and share content [31].

本文来自微信公众号：每日经济新闻 （ID：nbdnews），作者：黄婉银、李旭馗（实习），编辑：程鹏、黄博文、潘海福，原文标题：《机身断成两截， 2名遇难者在海下约7米处被找到，巡逻车在飞机跑道外被撞进海里，香港机场飞机坠海事故更多细节披露》，题图来自：每日经济新闻（记者 李旭道 摄） 10月20日凌晨约3时50分，香港国际机场发生一宗事故。一架由阿联酋阿勒马克图姆国际机场抵港的B744货机（航班编号UAE9788）在北跑道降落后出现 偏离情况滑出海面。 据悉，该货机意外撞到一辆正在跑道上巡逻的机管局巡逻车。巡逻车连人带车被撞落海，车上的男乘客当场身亡，而男司机则重伤送院抢救后不治身亡。 救援人员在水下约7米的地方将巡逻车乘客和司机救出。 香港民航意外调查机构已就有关意外展开调查。 10月20日上午，香港机管局新闻发布会直播画面；每经记者 李旭馗 摄 发布会现场，图片来源：每经记者 李旭馗 摄 其中一位是41岁的男性巡逻车司机，他从水下被救出时，已无呼吸、无脉搏，且头部受伤，后送医急救不治身亡。同车另一名30岁的男性机场巡逻车人 员，被现场紧急医疗队医生宣布死亡。 随后，消防人员进入涉事货机的机舱，确认机舱内 ...

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。 ...

Core Points - The article discusses the impact of unusual weather patterns on corn harvesting in northern China, particularly focusing on the challenges faced by farmers due to continuous rainfall during the harvest season [2][5][30] - It highlights the traditional agricultural practices still prevalent in rural areas, despite advancements in mechanization [9][21][28] Group 1: Weather Impact on Agriculture - October is typically a harvest month for corn in northern China, but this year has seen unusual continuous rainfall disrupting the harvest process [2][5] - The rain has caused concerns about corn being soaked and potentially rotting, making it difficult for farmers to use machinery for harvesting [5][6][30] Group 2: Mechanization and Labor Challenges - The mechanization rate for crop farming in China has exceeded 74%, with northern regions like Shandong reaching 91.7%, but weather conditions still limit the effectiveness of these machines [5][29] - Farmers are facing labor shortages and logistical challenges in transporting harvested corn, leading to a reliance on manual labor and traditional methods [11][12][17] Group 3: Economic Considerations - The article discusses the economic pressures on farmers, highlighting that the costs of seeds, fertilizers, and other inputs have risen, making farming less profitable [25][26] - There is a growing sentiment among younger farmers about the viability of continuing traditional farming practices, with many considering alternative livelihoods [20][27] Group 4: Government Response - The government has allocated nearly 500 million yuan to assist disaster-stricken areas with agricultural recovery efforts, but the amount is seen as insufficient given the scale of the challenges [29][30]

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？ ...