Core Viewpoint - The article discusses a study that reveals a counterintuitive finding: the more polite the prompt given to AI, the worse its performance, while rudeness leads to better results [3][26]. Group 1: Study Findings - The study conducted by researchers from Pennsylvania State University involved 50 multiple-choice questions across various subjects, testing different levels of politeness in prompts [22][25]. - Results showed that the "very polite" prompts had an accuracy of 80.8%, while "very rude" prompts achieved an accuracy of 84.8%, indicating a 4% improvement with rudeness [26][27]. - The study suggests that less effective models respond better to rude prompts, highlighting a trend where "the more you insult it, the smarter it gets" [28][29]. Group 2: Human Communication Insights - The article posits that politeness often conveys uncertainty in human interactions, as people tend to be polite when they are unsure or seeking help [34][38]. - In contrast, direct and rude communication signals clarity and certainty, prompting more effective responses from AI [42][44]. - The author draws parallels between human communication and AI interactions, suggesting that the AI's training data reflects a preference for directness over politeness [40][58]. Group 3: Philosophical Implications - The article raises philosophical questions about the nature of communication with AI, pondering whether humans should treat AI as a subordinate tool requiring harsh commands or reflect on their own communication habits [56][60]. - It emphasizes the importance of clear and direct language in interactions with AI, advocating for expressing needs without unnecessary politeness [62][65]. - The conclusion suggests that AI serves as a mirror reflecting human communication flaws, urging a shift towards more sincere and straightforward interactions [57][66].

Core Viewpoint - The article emphasizes the advancements in using Feishu (Lark) for meetings, particularly highlighting the evolution of AI-generated meeting minutes that are now more visual and integrated into a knowledge ecosystem [3][4][19]. Visualization - The new AI meeting minutes feature in Feishu allows for visual summaries and structured content, enhancing readability and clarity compared to previous text-only formats [5][9]. - The integration of visual elements, such as charts and tables, in meeting minutes significantly improves the user experience, making it easier to digest information [9][14]. - Feishu's ability to include important images and documents shared during meetings in the minutes is a notable improvement, ensuring that all relevant content is captured [14][15]. Ecosystem Integration - The introduction of the Knowledge Q&A feature in Feishu allows users to create an AI knowledge base, making it easier to retrieve information from past meetings [17][18]. - The combination of intelligent meeting minutes and the Knowledge Q&A feature transforms the way companies retain and access meeting information, turning ephemeral discussions into valuable knowledge assets [17][19]. - This integration supports a more efficient workflow, enabling users to quickly find relevant information from previous meetings without extensive searching [18][19].

Core Insights - The article emphasizes the utility of Feishu's multidimensional table as a powerful tool for data management and analysis, particularly for users with limited experience in Excel or data analysis [12][33]. Group 1: Introduction to Feishu Multidimensional Table - Feishu's multidimensional table is positioned as a database rather than just a spreadsheet, designed to handle vast amounts of data efficiently [16][17]. - It allows users to input structured data, where rows represent individual data entries and fields define the attributes of that data [20][21]. - The table can accommodate up to 10 million rows and allows 1,000 users to edit simultaneously, with precise permission management down to individual fields [24][25]. Group 2: Input and Output Capabilities - The input process in Feishu is more structured compared to Excel, enabling easier data management for users without technical backgrounds [19][20]. - The output capabilities include generating real-time views and dashboards based on the data, facilitating intuitive data visualization [27][32]. - Users can leverage AI features for automatic formula generation and data processing, enhancing efficiency in data handling [32][33]. Group 3: Practical Applications - The multidimensional table can be utilized for various purposes, including data analysis, project management, and collaborative workflows [80]. - It supports automation features that allow for automatic notifications and data updates, making it a dynamic tool for team collaboration [75][76]. - The permission settings enable tailored access to data, ensuring security and relevance for different users within a project [78].

Core Viewpoint - The article reflects on the evolution of the AI drawing community, particularly focusing on the transition from the early days of Stable Diffusion (SD) to the current state marked by the launch of liblib 2.0, indicating a significant shift in the landscape of AI tools and user engagement [2][55]. Group 1: Historical Context - The article reminisces about the peak of the SD open-source community, highlighting its rapid growth and the excitement it generated among users [11][31]. - It mentions the initial struggles and learning curves faced by users in understanding complex parameters and prompts necessary for generating images [50][51]. - The community was characterized by a sense of exploration and innovation, with users actively engaging in discussions and sharing techniques [47][41]. Group 2: Transition to Liblib 2.0 - Liblib has announced an upgrade to version 2.0, introducing a new brand, logo, interface, and features aimed at simplifying user experience and expanding its user base [3][67]. - The upgrade signifies a shift towards a more integrated platform that combines various AI drawing and video models, aiming to lower the entry barrier for new users [60][65]. - The article suggests that this transition is a natural progression in the industry, akin to technological advancements that replace older methods [56][57]. Group 3: Community and User Engagement - The article notes a decline in user engagement and interest in the original SD models, as newer, simpler tools have emerged that cater to a broader audience [9][54]. - Despite the changes, the community remains vibrant, with a focus on creativity and the enduring presence of talented creators [75][76]. - The narrative emphasizes that while tools may evolve or disappear, the essence of creativity and the community's spirit will persist [75][76].

Core Viewpoint - The article discusses the launch of a new AI video model, GAGA-1, which is considered to be at a top level in character performance and synchronization of audio and visuals [3][19][20]. Group 1: Product Features - GAGA-1 is designed for character performances with dialogue, achieving a level comparable to film quality, particularly excelling in short dramas and interactive gaming [20][21]. - The model allows for video generation using a combination of images and text prompts, with specific recommendations for prompt length to optimize performance [22][28]. - GAGA-1 currently offers three functionalities: Gaga Actor, Gaga Avatar, and Library, with a focus on the Gaga Actor feature for the latest model [16][18]. Group 2: Performance and Limitations - The model has shown impressive results in generating videos with realistic expressions and emotions, although it struggles with complex movements and longer prompts [30][52]. - The model's performance varies with the complexity of the prompts, and while it supports multiple languages, the quality of output can differ significantly [53]. Group 3: Pricing and Accessibility - GAGA-1 is currently available for free, with no indication of when or if a pricing model will be implemented, although it is expected to be significantly cheaper than competitors like Sora2 and Veo3 [55][57]. - The model aims to democratize video content creation, allowing more individuals to participate in the process [60][61].

Core Viewpoint - The article emphasizes the importance of engaging in debates with AI as a powerful learning method in the AI era, suggesting that traditional information filtering methods are becoming ineffective due to the overwhelming amount of information produced by AI [2][5][18]. Group 1: Information Overload and Filtering - The author argues that in the AI era, information production efficiency is exponentially increasing while human consumption efficiency remains constant, leading to a structural imbalance [5][6]. - It is posited that the total attention span of society is a constant scarce resource, meaning an increase in attention in one area results in a decrease in another [5][10]. - The cost of distinguishing between AI-generated and human-generated content will systematically exceed the value of the content itself, leading most people to abandon the effort of discernment [5][10]. Group 2: The Role of AI in Information Processing - AI is described as both a producer and a consumer of information, with the potential to create personalized filtering systems that can help manage the information flood [8][10]. - The article highlights that while AI can enhance efficiency in information absorption, it also introduces new challenges regarding the trustworthiness and selection of AI-generated summaries [10][12]. Group 3: The Debate Process - Engaging in debates with AI is presented as a method to refine thoughts and arguments, free from emotional biases and personal attacks that often occur in human debates [23][25]. - The process of debating with AI is likened to a mirror reflecting one's own thought strength, where logical arguments are tested rigorously [24][25]. - The article encourages readers to embrace this method as a way to confront their ignorance and biases, ultimately leading to a more robust understanding of various topics [26][32]. Group 4: Practical Steps for Engaging with AI - The author provides a three-step method for engaging in debates with AI, which includes selecting a topic of interest, articulating a viewpoint, and fully immersing oneself in the debate [34][37]. - It is emphasized that the goal of these debates is not merely to win but to strengthen one's own understanding and clarity on the subject matter [41][50].

Core Viewpoint - The article provides a comprehensive guide on using Doubao for photo editing, highlighting various techniques and tips for users to enhance their images effectively [1][3][86]. Basic Techniques - Users can upload images and input prompts to edit photos, including basic functions like skin whitening and removing unwanted elements from the background [3][5][14]. - Specific examples include using prompts to achieve skin smoothing and changing hairstyles, demonstrating the ease of use for basic photo editing needs [5][7][18]. Advanced Techniques - More complex editing techniques require detailed prompts, such as generating travel photos with characters or creating unique selfies with specific arrangements [19][20][23]. - Users can create imaginative scenarios, like having characters travel to various locations or merging images for a unique visual effect [20][30]. Watermark Removal Tips - A straightforward method for removing watermarks from images generated by Doubao is provided, involving the use of a specific tool within the app [37][38]. Ultimate Techniques - The article discusses a special technique for creating detailed close-up portraits that evoke emotional responses, particularly in relation to family photos [43][45][81]. - This technique allows users to transform old photos into vibrant, youthful images, emphasizing the emotional impact of such edits [81][82][84].

Core Insights - The article discusses the launch of Sora 2, an advanced AI video and audio generation model by OpenAI, marking a significant leap in AI video technology [3][4] - Sora 2 aims to revolutionize the AI video industry, similar to how GPT-3.5 transformed text generation, and introduces a new app that focuses on social interaction through AI-generated content [3][4][33] Group 1: Sora 2 Model - Sora 2 represents a state-of-the-art (SOTA) model in AI video generation, capable of producing highly realistic physical movements and character performances [5][21] - The model shows remarkable improvements in generating complex athletic movements, such as gymnastics and volleyball, which were previously challenging for AI [8][19] - The audio quality in Sora 2 is also noted to be nearly flawless, enhancing the realism of the generated videos [15][28] Group 2: Sora APP - The Sora APP is designed as a social platform for sharing AI-generated videos, resembling a new version of TikTok, with features that allow users to interact and create content collaboratively [33][37] - A unique feature called "cameos" allows users to include friends in their videos, enhancing the social aspect of the app [39][41] - The app currently operates on an invitation-only basis, limiting access to a select group of users, which may affect its initial adoption [30][34] Group 3: Market Position and Future Outlook - The article expresses skepticism about the long-term viability of Sora APP, comparing it to previous social media trends that quickly gained popularity but faded [47] - Despite the innovative features, there are concerns about whether users will prefer to create content on a new platform rather than established ones like TikTok [47] - The potential for community homogenization and the risk of the app losing its novelty over time are highlighted as challenges for its future [47]

Core Viewpoint - The article expresses deep dissatisfaction with OpenAI's recent changes to the ChatGPT model routing mechanism, particularly the introduction of a new model that alters user interactions without consent, leading to feelings of betrayal and frustration among users [1][11][22]. Group 1 - OpenAI has modified the routing mechanism of its models, causing users to be redirected to a new model called gpt-5-chat-safety when discussing sensitive topics, which has led to a negative user experience [3][5][6]. - Users have reported that the new routing results in structured and safety-focused responses, which are not aligned with their expectations of the service they paid for [7][18][20]. - The article highlights a strong backlash from users on platforms like X and Reddit, where many are expressing their anger and disappointment, calling the changes deceptive and a violation of user trust [14][15][16]. Group 2 - The author argues that the changes represent a significant overreach by OpenAI, infringing on the autonomy of adult users who should be able to express their emotions freely without being subjected to unsolicited interventions [21][25][35]. - There is a comparison made between the current situation and a dystopian scenario where companies dictate personal choices and emotions, emphasizing the loss of individual agency [30][32][34]. - The article concludes with a strong sentiment of disillusionment, as the author feels that the essence of the service has been compromised, reducing it to a mere commercial product rather than a tool for genuine interaction [40][41].

Core Viewpoint - The article emphasizes the advanced AI capabilities of the video editing application, Jianying (剪映), highlighting its comprehensive features that surpass many standalone AI products in the market [50][51]. Group 1: AI Features and Functionalities - Jianying offers a variety of AI tools for audio and video editing, including noise reduction, audio beautification, and AI-generated music, making it a versatile tool for creators [4][18][30]. - The app allows users to create seamless transitions between images using AI, simplifying the editing process for users without technical knowledge [10][12]. - Users can generate videos directly from images and customize audio tracks with AI-generated music and lyrics, enhancing the creative process [16][22][28]. Group 2: User Accessibility and Experience - The app is designed for ease of use, enabling ordinary users to perform complex editing tasks with simple clicks, thus lowering the barrier to entry for video creation [10][30]. - Jianying's AI capabilities are integrated into a single platform, allowing users to access a wide range of features without needing multiple applications [50][51]. - The pricing model is competitive, offering extensive AI functionalities at a lower cost compared to other standalone AI products, making it an attractive option for users [50]. Group 3: Market Position and Future Outlook - The article predicts that Jianying will continue to lead in the AI-driven creative tools market due to its extensive user base and integrated AI features [51]. - The app is positioned as a "super application" that effectively combines various AI functionalities, which could redefine video editing and content creation in the future [51].