Core Viewpoint - The atmosphere of this year's Double Eleven shopping festival is notably less vibrant compared to previous years, with a shift towards darker and more troubling behaviors among some consumers [1][3][4]. Group 1: Consumer Behavior - There has been an increase in return rates during Double Eleven, with some consumers using AI to manipulate images and fraudulently request "refund only" claims from merchants [6][10]. - The "refund only" mechanism allows buyers to receive refunds without returning items, which has been exploited by some consumers to deceive merchants [9][10]. - Instances of consumers using AI to create fake images of defective products, such as a nasal cleaner, have been reported, showcasing a new level of deceit [11][13]. Group 2: Impact on Merchants - Small merchants, often operating with minimal profit margins, face significant losses from malicious refund claims, which can wipe out their daily earnings [36][42]. - A single fraudulent refund can equate to the profit from multiple sales, severely impacting the sustainability of small businesses [40][42]. - The emotional and financial toll on small business owners, who work tirelessly to fulfill orders, is highlighted as they become victims of these deceptive practices [36][43]. Group 3: Ethical Concerns and Future Implications - The rise of AI-generated fraud raises serious ethical questions about trust and integrity in consumer transactions, as the ability to easily fabricate evidence undermines the credibility of genuine claims [49][50]. - The article suggests that as AI technology advances, the potential for misuse will also grow, leading to a decline in trust between consumers and merchants [49][50]. - The narrative emphasizes the need for a moral compass in the face of technological advancements, urging individuals to maintain ethical standards despite the convenience offered by AI [50].

昨天晚上，我一直很喜欢的字节家的TRAE SOLO ，终于正式上线了。 自从他们之前7月21号发了以来，其实就一直在内测，一直能用到的人都不多，而现在，终于全量了。 而且，限时免费。 TRAE 国内版正式上线的时候，我也写过一篇，大家都知道 TRAE 是一个IDE产品，当时有点类似于Cursor。 而后，Agent越发爆火，各种编程Agent产品也疯狂的涌现。 CLI也就是命令行的形态的产品，逐渐成了主流，但是说实话，我自己一直以来，作为一个非专业用户，都还是更喜欢一个GUI界面。 所以， TRAE SOLO 这种编程Agent的形态，我还是更喜欢一点。 相比于之前7月刚刚亮相时候的内测版，这次 TRAE SOLO 还是更新了蛮多的东西的。 比如左边，终于有了更加舒服的多任务列表。 如果说SOLO Builder更适合从0到1，那SOLO Coder，更适合完成从1到100的迭代。 我想用一个实际的教程案例，来带着大家，看一下SOLO Builder和SOLO Coder组合的威力。 比如我一直有一个痛点，就是找一些APP的logo。 因为我们自己做内容的时候，经常会在做封面或者做文中图片的时候，需要用到一些 ...

n the sam 947! 24(0) 体息区 (可打麻将版) 元限供应的零食区 (可烤肠版)。 0 Eu 2 B Fast in 2 虚实传媒 家 4 上个月，我们搬到了一个新家 位置就在 北京的望京 ~ 终于也有了舒适的办公环境。 D 込走我们的工区（想隔就隔板） 还有其他大大小小的区域们也在逐步建设完善中, 比如一片能俯瞰京秋的休息区, 等等，能让大家开心舒服办公的，我们都在努力打造。 加7我们 需索更大的世界/ 这个空间也在等待更多奇思妙想生根发芽,我们 的想法也越来越多，最近也跟好朋友WaytoAGl 达成了深度的合作,未来也会一起玩很多很多新 的有趣的东西。 我们需要的伙伴也越来越多,所以,也要继续招 我们在招的岗位有 内容创作类、经纪运营类、广告执行以及法务等 真诚地邀请则创意与AI充满无眼好奇心的伙伴加入 一起探索更广阔的世界。 感兴趣的小伙伴,可以往下看看岗位JD。(V) 更多的同伙啦。 内容模 >> 长视频赠导：薪资20-35万/年 岗位联美 线下全职 我们需要你 NEED YOU H 1. 深度体验各种最新的AI工具和产品,独立输出有趣、 有用、有价值的视频评测; 2. 深度参与到各种 ...

最近看到了一篇文章，这个作者干了一个非常有趣的事。 就是，他分析了 1.8 亿个工作岗位，看看人工智能如今究竟取代了哪些工作。 我经常能刷到AI抢饭碗的帖子，但一直都没有碰到具有统计意义的数据，去分析AI到底抢了哪些人的饭碗。 这篇文章算是个民间调查报告吧，作者像个侦探一样，分析了2023至2025年10月期间，近1.8亿个全球招聘信息，然后跟2024年的职位做了一下比较。 去看看哪些具体职位数量下降最多或者增长最多。 虽然相关性不能等同于因果关系，但从某种意义上来讲，这些职位确实可以说是受AI影响最大的职位。 我在看完整篇内容之后，除了那些数据和一些反常识的点很有意思之外，我也确实觉得有一个在这个时代，非常突出的现象。 那就是，AI正在杀死绝大多数的新人，也在杀死，学徒制。 在说这个现象之前，有一个基准需要统一，那就是，作者给了一个明确的全社会级别的基准线： 2025年全球职位发布总数比2024年同期下降了8%。 意思是，整个就业市场确实有一定程度的下跌。 但如果某些职位的降幅超过了这个数字，那可能就有更深层次的原因了，比如，AI。 反过来，如果它没怎么跌，甚至在暴涨，这那些岗位，大概做对了时代想要的事。 ...

今天的这篇内容，也是填一个之前的坑。 在开始之前，我觉得还是先快速地给大家说一下，快捷指令是个啥。 快捷指令其实是一个IOS系统自带的自动化工具，你可以用这个工具去简化操作步骤，或者自动执行任务。 从最简单的简化操作步骤来说，一打开快捷指令，你首先就会看到，很多手机app都自带快捷指令。 点击其中一个快捷指令，就能一键跳转到某些相应的app功能，省略了打开app-打开相应界面的步骤。 前段时间，我写了一篇 飞书多维表格教程 ，在里面写过一个小技巧，让飞书多维表格跟苹果手机的快捷指令联动，实现一些便捷的操作。 但当时因为飞书多维表格的主体教程已经很长了，快捷指令这块儿就没展开写，只是立了一个flag。 在这个flag立下之后，我也陆陆续续地收到了很多催更。 在花了好几天做case和教程之后。 今天，我终于把这个坑填上了。 我想用这篇文章，带你们看看，飞书多维表格+快捷指令的组合有多牛逼，有什么有趣有意思的玩法。 和搭建工作流有一点点像，你也可以把快捷指令理解为一种手机本地的、轻量化的工作流形态。 搭好了之后，只要触发指令，它就会嘟嘟嘟地去自动执行了。 触发的方式也非常方便。 不需要跑到快捷指令里面找某一个指令， ...

Core Viewpoint - The article discusses the dual nature of AI technology, highlighting its positive advancements while also addressing the rise of black market activities that leverage AI for malicious purposes [2][3][4]. Group 1: AI and Black Market Activities - AI technology has significantly lowered the barriers for black market activities, enabling criminals to utilize advanced tools for scams and fraud [7][35]. - The article outlines specific methods used by black market actors, such as AI-generated deepfake videos for identity theft and account access [13][21]. - AI Agents are employed for automated attacks, allowing criminals to efficiently exploit multiple accounts and systems without manual effort [23][28]. Group 2: Security Measures and Responses - Financial institutions, particularly in the banking sector, are at the forefront of combating black market activities, necessitating stringent security measures [10][12]. - Security teams simulate attacks using advanced AI techniques to identify vulnerabilities in their systems, effectively preempting potential breaches [41][43]. - The use of generative AI to create dynamic security measures, such as real-time CAPTCHA generation, is highlighted as a strategy to counteract black market tactics [50][51]. Group 3: The Ongoing Battle - The article emphasizes the continuous and evolving nature of the battle between black market actors and security professionals, with both sides employing AI to outsmart each other [56]. - The ultimate goal of security teams is to raise the cost of malicious activities to a point where they become unfeasible for black market operators [57]. - The narrative concludes with a recognition of the unsung heroes in cybersecurity, who work tirelessly to protect users from the threats posed by AI-enhanced black market activities [60][68].

Core Viewpoint - The article discusses the emergence of AI trading models in the stock market, highlighting a competition involving ten AI models that trade in real-time using a set amount of capital, showcasing the potential of AI in investment strategies [1][3][12]. Group 1: AI Models and Competition - Ten AI models, including both established names like GPT and new entrants such as Doubao and Minimax, are participating in a trading competition, with Doubao currently leading [3][12]. - The competition involves each AI model managing a trading account with an initial capital of $100,000, making trading decisions every five minutes based on identical data inputs [18][24]. - The competition features three categories: Meme, AI stocks, and Classic, with a focus on AI stocks being particularly stimulating [20][15]. Group 2: Trading Strategy and Data Utilization - The AI trading agent, Bobby, provides all models with real-time market data, including K-line information, account data, and news, ensuring a level playing field [24][26]. - Each model must develop its trading strategy based on the same set of information, emphasizing the importance of independent reasoning and decision-making [26][24]. - The trading rules include a maximum leverage of 2x, no options trading, and a requirement for each trade to have a clear entry and exit plan [25][24]. Group 3: Performance and Insights - As of the latest updates, Doubao has achieved a notable profit, while other models like GPT-5 and Gemini 2.5 Pro have adopted different strategies, with GPT-5 focusing on risk management [28][29][35]. - The article highlights the distinct trading styles of the AI models, showcasing their personalities and decision-making processes, which adds an entertaining aspect to the competition [35][39]. - The overall performance of the models reflects their ability to adapt to market conditions, with some models taking more aggressive positions while others prioritize risk management [41][39].

你有多久，没在B站里刷到又唱又跳的鬼畜视频了？ 讲道理，作为一个13年开始用B站的用户，那个时候我的最爱，就是在B站上刷鬼畜视频，比如我最爱的伊丽莎白鼠。 那是我梦开始地方。 后来还有两首我特别喜欢的鬼畜歌，你说他是鬼畜吧，他也是，但是，也是真的好听。 一首叫《葛炮的号哭》。 很多年前看蓝猫淘气三千问的时候，记得葛叔还是满头黑发，现在，看到葛叔现在的满头白发，真的很难让人感慨时代的变迁。 另一首，叫：【派大星的独白】一个关于正常人的故事。 最怕鬼畜，动了情。 我特别推荐大家去B站搜一下这两首歌，我特别喜欢，真的。 一个来自2014年，一个来自2019年。 但是不知道何时开始，B站的鬼畜区，好像也越来越没落了。 那种泼天的在音乐上的创造力，好像也越来越少了。 我们好像都长大了，大家再也不愿意，花那么多时间，去创作一个，纯粹为爱发电的作品了。 直到。 最近。 起因是半个月前，我跟 @特效小哥008 聊AI天的时候，正好聊到AI视频，然后，他给我发了这个视频，让我去看看。 我当时就秉持着好奇的心，点了进去。 然后，就看到了一个，惊为天人的作品。 这好像，是AI时代的，另一种"鬼畜"。 这个歌的作者叫 @漫游会议室 ...

Core Viewpoint - The article discusses the limitations of AI in recognizing visual patterns that humans can easily identify, particularly focusing on the concept of "Time Blindness" in video-language models [22][26][70]. Group 1: AI Limitations - AI models, including Gemini 2.5 Pro and GPT-5, failed to recognize a simple heart shape in a visual illusion, highlighting their inability to perceive certain visual cues that humans can easily identify [8][10][14]. - A benchmark study called SpookyBench demonstrated that while humans achieved over 98% accuracy in recognizing shapes and patterns in videos, AI models scored 0% [35][36][41]. - The inability of AI to recognize moving patterns is attributed to its reliance on spatial analysis rather than temporal understanding, leading to a phenomenon termed "Time Blindness" [43][70]. Group 2: Research Insights - The article references a paper titled "Time Blindness: Why Video-Language Models Can't See What Humans Can?" which explores the fundamental differences in how humans and AI perceive motion and visual information [22][26]. - The study involved 451 videos categorized into different temporal patterns, revealing that AI models could not identify any of the content, while humans could effortlessly recognize the intended shapes and movements [34][35]. - The research indicates that AI's approach to video analysis is fundamentally flawed, as it treats video frames as static images, missing the critical information conveyed through motion [47][50]. Group 3: Human Perception - The article emphasizes the role of human cognitive processes, such as the "Law of Common Fate," which allows individuals to perceive moving objects as a cohesive whole, a capability that AI lacks [57][67]. - It discusses the phenomenon of involuntary eye movements that help humans maintain perception of static images, which is leveraged in visual illusions to create a sense of motion [81][83]. - The author reflects on the philosophical implications of these findings, suggesting that while AI operates in a discrete, static manner, human perception is inherently fluid and continuous [73][75].

Core Viewpoint - The article discusses the capabilities and implications of the open-source model Wan2.2 Animate, which allows users to create highly realistic face-swapping videos and animations, highlighting its potential in various creative fields while also addressing the ethical concerns associated with such technology [1][25][26]. Group 1: Technology and Features - Wan2.2 Animate can generate natural face-swapping videos by using a combination of user-uploaded videos and images, achieving impressive results in mimicking expressions and movements [1][4][6]. - The model allows for voice modulation alongside visual changes, enhancing the realism of the generated content [9]. - It supports both action imitation and character replacement, enabling users to create videos with different characters while maintaining the original background [14][15][16]. Group 2: Accessibility and Open Source - Wan2.2 Animate is notable for being open-source, which differentiates it from other similar models that are not publicly available [14][25]. - The model can be easily accessed and utilized by anyone, significantly lowering the barrier to entry for animation and video creation [25][26]. - It can be deployed in various settings, including enterprises and film productions, allowing for cost-effective animation and special effects [25]. Group 3: Creative Applications - The technology can be used for various creative projects, including recreating classic film scenes or generating dance videos with different characters [12][26]. - It opens up new possibilities for independent animators and filmmakers, enabling them to bring their characters to life with minimal investment [25][26]. - The potential for reviving deceased actors in new films through AI-generated likenesses is also discussed, showcasing the transformative impact of this technology on the film industry [26]. Group 4: Ethical Considerations - The article raises concerns about the misuse of such technology, particularly in creating misleading or harmful content that could undermine trust in digital media [26]. - It emphasizes the importance of responsible use of technology, likening it to fire that can either warm or destroy [26].