豆包疯了。 我感觉他好像真的想一统江湖了。 今天我打开豆包，本来只是想让它帮我识别几个表格图片。 结果发现他们更新了一个功能，直接推荐到我的首页来了。 这个功能我用了一下，给我整不会了，就是下面那个加上了"应用创造1.0"标识的AI编程。 我用完只有一个想法。 不是，豆包这是要疯了吗？这是不给其他家留活路了吗。。。 一直以来我对AI编程的选题都很慎重。毕竟市面上一堆AI编程工具，但是我说实话，很难让人人都上手，基本都需要开发基础，很不新手友好。 但这次真的不一样。 豆包这次更新的AI编程，这个功能的核心，就是你现在不仅可以用豆包写代码，还能直接可视化的修改网页上的结果，就像修改PPT里的内容一样轻 松。 你可能不太好理解，我给你举个例子。 也不知道是《长安的荔枝》很火，还是最近到了吃荔枝的季节，我前两天去东莞参加华为的开发者大会，遇到的很多朋友，都在东莞到处问，去哪买荔 枝。。。 那我们不如，就做一个荔枝的电商网站。 在豆包首页，选中AI编程应用。 发一句最简单的话，制作荔枝电商网站。 你就能看到，代码开始生成了。 而且这个代码的生成能力，我说实话有点强，大概率底座，是用了前几天火山大会上发的豆包1.6模型， ...

Core Viewpoint - The article discusses the recent surge in AI-generated viral video formats, emphasizing the transient nature of attention and the importance of building a unique narrative and brand identity rather than merely chasing trends [7][18][40]. Group 1: AI Video Trends - The popularity of AI video formats has increased, with notable examples including a Vlog featuring a capybara and an AI ASMR video that gained significant traction [8][10]. - The article highlights the ease of replicating viral formats, which can lead to a temporary spike in views but may not contribute to long-term success [30][40]. Group 2: Value of Copying Viral Formats - Copying viral video formats may provide short-term benefits, but it risks sacrificing the development of a unique storytelling style [32][40]. - The narrative of a historical figure, Zhang Dama, illustrates the pitfalls of chasing trends without establishing a solid foundation for sustainable growth [26][28]. Group 3: Flow and Attention Economy - The concept of "flow" in the context of attention is discussed, indicating that attention is a fleeting and unstable resource, much like market trends [33][35]. - The article argues that the pursuit of views can lead to a misunderstanding of their true value, which is often superficial and short-lived [36][40]. Group 4: Long-term Value of Attention - The long-term value of attention is compared to stock market principles, where sustainable success relies on a solid foundation rather than fleeting trends [84][88]. - The article emphasizes that true loyalty from audiences comes from the creator's unique personality and narrative ability, rather than the format of the content [88][90].

Core Viewpoint - The article discusses the recent trend of AI-generated ASMR videos that have gained immense popularity on platforms like TikTok and Xiaohongshu, highlighting their unique auditory experiences and the curiosity they evoke in viewers [2][18]. Group 1: Popularity and Engagement - The AI ASMR videos have rapidly gained traction, with the original creator's account amassing 170,000 followers since its first video on June 11 [2]. - Some videos have received tens of thousands of likes, with the highest video achieving 2.5 million likes [12]. Group 2: Content Creation Process - The videos are created using Google's Gemini platform, which allows users to generate videos with matching sounds by inputting specific prompts [13][15]. - The simplicity of the content creation process is emphasized, as users can easily replicate the format with minimal effort [17]. Group 3: Unique Auditory Experience - The AI ASMR videos provide a novel auditory experience that combines curiosity and relaxation, featuring sounds that are not typically found in nature, such as the sound of a knife cutting through glass fruit [18]. - The article explains ASMR as a phenomenon that induces a tingling sensation and relaxation through specific sound stimuli, which the AI-generated content enhances by introducing new and unique sounds [18]. Group 4: Future Implications - The emergence of AI ASMR signifies a shift in how auditory content can be created and experienced, suggesting a future where individuals can generate their own unique sound experiences [19].

Core Viewpoint - The article discusses the launch of Hailuo 02, an AI video model that has made significant advancements in generating complex physical movements, particularly in gymnastics and acrobatics, which were previously considered challenging for AI to replicate [1][2][3]. Group 1: Hailuo 02 Launch and Capabilities - Hailuo 02 was released with a preview that showcased its ability to generate impressive acrobatic movements, surpassing previous models like Veo3 in fluidity and realism [1][2][4]. - The model is noted for its capability to perform complex actions such as high bar gymnastics and acrobatic stunts, which were previously thought to be beyond AI's reach [2][3][23]. - The article highlights the model's performance in generating realistic movements, emphasizing that it can produce actions that appear smooth and lifelike, unlike many other models that struggle with motion [4][21][23]. Group 2: Comparison with Other Models - A year ago, Luma AI's video generation showed significant limitations, with distorted movements that drew criticism from the AI community [6][9]. - In contrast, Hailuo 02 has demonstrated a remarkable improvement in generating gymnastics and acrobatic movements, achieving a level of realism that was previously unattainable [23][24][26]. - The article provides a comparative analysis of various models, illustrating how Hailuo 02 excels in generating complex physical actions while other models like Runway Gen4 fall short [24][26][30]. Group 3: User Experience and Accessibility - Hailuo 02 is praised for its user-friendly interface and affordability, allowing users to generate high-quality videos at a low cost, with free credits available for new users [45][46]. - The model supports native 1080P video generation, making it accessible for a wider audience interested in creating high-quality AI-generated content [45][46]. - The article concludes by emphasizing the transformative potential of AI in visual storytelling, suggesting that it can create new legends in the industry, similar to the impact of long-standing film icons [45][46].

Core Viewpoint - The article discusses the recent release of MiniMax's first inference model, MiniMax M1, which is claimed to have context capabilities comparable to the leading model, Gemini 2.5 Pro [2][10]. Group 1: Model Performance - MiniMax M1 has shown competitive performance in various benchmarks, particularly excelling in the MRCR (Multi-Round Co-reference Resolution) task, achieving an accuracy of 62.8%, which is on par with Gemini 2.5 Pro [3][8]. - The model's architecture includes 456 billion parameters with a MoE (Mixture of Experts) structure, allowing it to handle a maximum context length of 1 million words, significantly surpassing DeepSeek-R1's capabilities [10][12]. - The Lightning Attention mechanism used in MiniMax M1 allows for linear growth in time and space complexity with increasing sequence length, making it more efficient than traditional transformers [8][9]. Group 2: Benchmark Comparisons - In the AIME 2024 logic and mathematics tasks, MiniMax M1 performed adequately, with some tasks showing strong results while others were average [3]. - The MRCR task, which tests a model's ability to understand and differentiate between multiple conversation threads, is highlighted as a significant challenge that MiniMax M1 has managed to tackle effectively [6][8]. Group 3: User Experience and Applications - Users have reported impressive experiences with MiniMax M1, including its ability to accurately translate complex documents and maintain context over long interactions [14][22]. - The model's capabilities extend to creative applications, such as generating narrative content and engaging in interactive storytelling, showcasing its versatility [31][33]. Group 4: Future Expectations - There is anticipation for further developments from MiniMax, particularly in video models and other innovative applications, as the company continues to push the boundaries of AI technology [42][46].

Core Viewpoint - The article introduces a niche product called NoFeed, which aims to enhance user focus by providing a streamlined search experience without distractions from information feeds [1][5][9]. Summary by Sections Product Introduction - NoFeed is described as a simple yet impactful tool that allows users to search for keywords across various mainstream platforms without being sidetracked by content recommendations [5][9]. - The product's name, NoFeed, signifies its core function of helping users concentrate on their search tasks [9][12]. User Experience - Upon opening NoFeed, users are greeted with a unique welcome page, leading directly to a search interface [10][11]. - The app requires manual input of app names, which is intended to minimize distractions from suggested options, akin to a feed [12][13]. Market Position - The app is currently available for iOS, with an Android version in development, priced at 6 yuan, which is considered affordable compared to other digital products [14][29]. - The author emphasizes the value of the app in saving time that would otherwise be wasted on irrelevant content [14]. Societal Commentary - The article reflects on the broader societal issue of passive information consumption, contrasting it with a past where individuals actively sought knowledge [18][25]. - It raises concerns about the diminishing ability of individuals to engage in proactive searching and critical thinking due to the overwhelming nature of algorithm-driven content [22][28]. Conclusion - The author expresses a desire for individuals to regain the courage to actively search for knowledge and embrace a richer, more authentic life experience [31][32].

Core Insights - The article emphasizes the transformative impact of AI in the foreign trade industry, highlighting how AI is not just a tool but a teammate that actively contributes to business processes [6][7][8]. - It discusses the evolution of AI from basic automation to advanced intelligent agents capable of handling entire business workflows independently [10][11][12][15]. - The importance of integrating AI with industry-specific knowledge is stressed, as opposed to merely applying AI capabilities to existing processes [16][17][18]. - The article argues that businesses need reliable and stable AI solutions that deliver results rather than just showcasing advanced capabilities [19][20][21]. - It introduces the concept of an "AI equality era," where AI enables less experienced employees to perform at levels comparable to seasoned professionals [22][24][25]. - The significance of data accumulation over time is highlighted as a key advantage for companies like OKKI, which have built a robust data ecosystem [36][38][39]. - Finally, the article concludes that the ultimate goal of AI is to drive business growth and efficiency, rather than merely demonstrating technological prowess [40][41][45]. Summary by Sections AI as a Teammate - AI is perceived as a reliable teammate that actively engages in business tasks, rather than a passive tool [6][7][8]. Evolution of AI - The development of AI is compared to the stages of autonomous driving, with a focus on the transition from basic automation to fully independent intelligent agents [10][11][12][15]. Industry-Specific AI Integration - Successful AI applications arise from understanding industry-specific challenges and tailoring AI capabilities to address them [16][17][18]. Reliability of AI Solutions - The effectiveness of AI is measured by its reliability and the results it delivers, rather than its complexity or advanced features [19][20][21]. AI Equality Era - AI democratizes access to skills, allowing less experienced employees to achieve results comparable to seasoned professionals [22][24][25]. Data Accumulation - Companies like OKKI leverage 12 years of accumulated data to enhance their AI capabilities, creating a unique competitive advantage [36][38][39]. Business Growth Focus - The primary objective of AI implementation is to enhance business outcomes and efficiency, moving beyond mere technological discussions [40][41][45].

就在刚刚，夸克官宣了他们最新的夸克高考志愿大模型。 虽然他们没咋提Agent这个词，但是我依然觉得，这玩意比Agent还Agent。 我左想右想，也没想到，夸克会在高考结束的这个时间点，发了可能是我觉得目前AI里，最落地最有用最有社会意义的产品。 高考报志愿Agent。 这个东西，对于广大学子来说，有多有用，我相信每个人都有数。 十几年前，我其实就倒在了志愿填报了，虽然我考的也并不咋地，但是其实后面复盘，发现还是有明显更好的机会。 但是2013年，一个小城市的人家，谁知道，高考志愿有那么多弯弯绕绕的啊。 最后也只能去了，一个普通普通的学校，一个我 可能并没有那么喜欢的专业。 大学期间到没有什么特别的感受，但是当大三开始找实习的时候，真正跟全社会竞争的时候，才能感受到，那种被碾压的压力。 就...完全不是一个起点。 海投了一圈简历，得到了北京一个中厂的面试机会，从广东坐了20多个小时的绿皮火车来到北京，带着我做了1个月的作品集，就为了一次面试。 也可能是面试官觉得我认真，可能觉得作为一个实习生我不仅能做设计还有数据思维，也可能是被我坐了20多个小时的火车就为了这一个面试而打动， 一个实习生居然面了5轮，最后总监 ...

Core Viewpoint - The article discusses the launch of the Seedance 1.0 pro video generation model by Huoshan Engine, highlighting its advanced features and capabilities in AI video production, which positions it as a leading product in the market [1][77]. Group 1: Product Features - Seedance 1.0 pro includes multiple innovative models such as the video generation model, which has gained significant attention and popularity [1][79]. - The model allows for multi-angle combinations and seamless scene transitions, enhancing the storytelling aspect of video creation [9][13]. - It demonstrates high-quality motion rendering, accurately depicting physical dynamics and emotional expressions in generated videos [20][30][57]. Group 2: Performance Evaluation - The performance of Seedance 1.0 pro has been tested across various dimensions, including multi-camera setups, motion quality, emotional portrayal, camera movement, physical dynamics, and stylistic consistency [8][10][49][69]. - The model's semantic understanding is noted to be impressive, effectively translating prompts into visual outputs [15][18]. - The evaluation indicates that Seedance 1.0 pro excels in sports motion, emotional expression, and maintaining stylistic consistency, often exceeding expectations [77][78]. Group 3: Market Position - Seedance 1.0 pro is positioned as a top contender in the AI video generation market, with expectations to maintain its leading status for an extended period [77][78]. - The competitive landscape is acknowledged, with other companies also developing similar technologies, indicating a rapidly evolving market [77][78]. - The pricing for enterprise users is set at approximately 3.67 yuan for every 5 seconds of 1080P video, making it accessible for businesses [79].

Core Viewpoint - The article discusses the performance of various AI models in a simulated high school mathematics exam, highlighting unexpected results and the rapid evolution of AI capabilities in understanding and solving mathematical problems [1][21]. Group 1: Testing Methodology - The testing included previously missing models such as Zhiyu Z1, Kimi 1.5, and Wenxin X1, aiming to provide a comprehensive assessment of AI models' mathematical abilities [3][8]. - Specific scoring rules were established, focusing on correctness of results rather than step-by-step solutions, with each question being run through the models three times to determine accuracy [5][6]. - The inclusion of multimodal questions required models to interpret images, which proved challenging for many, with only OpenAI's model performing adequately [10][12]. Group 2: Results and Rankings - The results were surprising, with models like Xunfei Xinghuo and Doubao achieving high scores of 145 points, excelling in most questions except for a specific one [15][16]. - Qwen3 scored 143.3 points, performing well in answer questions but losing points in fill-in-the-blank sections [16]. - Gemini 2.5 Pro ranked fourth with a score of 139.7 points, while other models like Hunyuan T1 and Wenxin X1 tied for fifth place with slightly lower scores [17][18]. Group 3: Observations and Implications - The article notes the rapid advancement of AI, suggesting that within two years, AI models have reached a level comparable to that of excellent students in high school mathematics [21]. - The author expresses a sense of excitement and surprise at the results, indicating a positive outlook on the future capabilities of AI in educational contexts [22].