Core Viewpoint - The article discusses the current state of the AI drawing model FLUX, highlighting its decline in popularity compared to newer models like Nano Banana Pro, which is powered by Gemini 3 Pro, a leading multimodal model in the industry [4][5][41]. Group 1: Product Overview - FLUX has released four base models and one VAE model, with two of them being closed-source [8][9]. - The models include Pro and Flex, which are the most powerful but not open-source [9]. - An open-source model called klein is expected to be released soon [11]. Group 2: Performance Comparison - The article provides a comparison between FLUX and Nano Banana Pro, noting that FLUX's outputs appear less impressive when using the same prompts [15][41]. - Specific prompts used in testing demonstrate the differences in output quality, with FLUX struggling to match the detail and accuracy of Nano Banana Pro [20][22][41]. Group 3: Knowledge and Understanding - The article emphasizes that modern AI models must possess a deep understanding of the world, which is a significant factor in their performance [76][79]. - Nano Banana Pro's success is attributed to its backing by a powerful multimodal model, while FLUX relies on Mistral-3 24B, which is less capable [41][42]. Group 4: Industry Trends - The article notes a trend where smaller companies and models are increasingly falling behind as larger companies invest heavily in resources and technology [63][64]. - The competitive landscape is described as a "dimensionality reduction strike," where smaller players are unable to keep up with the advancements made by larger firms [75][76]. Group 5: Open Source and Community Impact - Despite its challenges, FLUX's open-source nature is seen as a valuable asset for small businesses and individual developers, allowing them to build upon its foundation [82][84]. - The article acknowledges the heroic efforts of the FLUX team, despite the challenges they face in a resource-driven market [85][87].

Core Viewpoint - The article discusses the limitations of current AI models, particularly their inability to form long-term memories, likening them to characters suffering from anterograde amnesia. It introduces the concept of "Nested Learning" as a potential solution to this issue, allowing AI to learn and retain information more effectively, similar to human memory processes [11][21][25]. Summary by Sections Introduction to Current AI Limitations - Current AI models, including GPT and others, face a critical flaw known as "anterograde amnesia," where they cannot retain new information after a conversation ends [11][21][25]. - This limitation results in AI being unable to learn from interactions, making each conversation feel like a new encounter with a blank slate [21][23]. Nested Learning Concept - The paper "Nested Learning: The Illusion of Deep Learning Architectures" proposes a new framework to address the memory retention issue in AI [7][25]. - It draws inspiration from human brain functions, particularly the different frequencies of brain waves that manage various types of memory processing [26][28][33]. Mechanism of Nested Learning - The proposed model, HOPE, incorporates self-modifying weight sequences and a multi-time-scale continuous memory system, allowing for different layers of memory retention [45][47]. - This model enables AI to process information at varying speeds, akin to human memory consolidation processes, where short-term memories are transformed into long-term memories during sleep [52][53]. Comparison with Existing AI Models - Current models operate as single-frequency systems, locking in their parameters post-training, which prevents further learning [42][43][44]. - In contrast, HOPE allows for dynamic updates to the AI's internal parameters based on user interactions, facilitating a more profound understanding and retention of information [66][70]. Performance Evaluation - The paper reports that HOPE outperforms existing models like Transformer++ and DeltaNet in various benchmarks, demonstrating its effectiveness in memory retention and learning capabilities [73]. Conclusion - The article emphasizes the potential of Nested Learning to revolutionize AI by enabling it to evolve and adapt over time, ultimately leading to a more intelligent and personalized AI experience [72][84].

Core Viewpoint - The article highlights the innovative capabilities of NotebookLM in conjunction with Nano Banana Pro, particularly its ability to generate high-quality PowerPoint presentations from various input materials, showcasing a significant advancement in AI-driven productivity tools [1][12][41]. Group 1: NotebookLM and Nano Banana Pro Features - NotebookLM allows users to upload various formats of data, including PDFs, Word documents, and images, facilitating seamless knowledge management and transformation into different formats [12][13]. - The integration with Nano Banana Pro enables the automatic generation of visually appealing PPTs, maintaining a consistent style and utilizing original data from the input materials [17][18]. - Users can customize the style of the generated PPTs, choosing from various themes such as clay, comic, and large-character styles, enhancing the visual appeal and engagement of presentations [5][8][22]. Group 2: User Experience and Benefits - The article emphasizes the time-saving aspect of using NotebookLM and Nano Banana Pro, allowing users to focus on content rather than the tedious process of designing presentations [37][41]. - The generated PPTs are noted for their high quality, with minimal errors, making them nearly ready for immediate use after slight modifications [4][15]. - The combination of these tools is described as one of the most useful functionalities encountered in the year, significantly improving the efficiency of creating presentations [28][36]. Group 3: Limitations and Future Improvements - Some limitations are mentioned, such as the inability to edit individual elements within the generated PPTs, which could hinder customization [28][31]. - There are also concerns regarding the quality of Chinese text in the presentations, which may not match the clarity of English text, indicating a need for further development in this area [34]. - The article suggests that future iterations of Nano Banana Pro could address these issues, enhancing the overall user experience and functionality [34].

昨天白天，飞书多维表格的应用模式，终于正式上线了。 其实半个月前，就受到了飞书的邀请，给我们开了应用模式的内测资格，我开始搭建我们公司的应用系统，以提高我们公司所有团队的工作体验和工作 效率。 多维表格我就不再重复说他有多牛逼了，我在各种场合也吹过无数次，写过很多篇稿子来安利了（真的都不是商单，就是纯粹的发自内心的喜欢，想安 利给大家）。 而这一次的应用模式，上瘾程度，比我曾经预期的更甚。 就在前几天，我还搭到早上六点，真不是吹牛逼，我自己搭应用模式的上瘾程度，真的不亚于我十年前玩《文明6》，5年前玩《戴森球计划》。。。 然后，NanoBanana 2凌晨也上线了，我。。。 肝死我了= = 只能双更了。 凌晨发完了NanoBanana 2的内容，而这一篇，也终于可以来和你们好好聊聊飞书多维表格的这次更新了。 也就是，传说中的，应用模式。 甚至，为了更好的支持应用模式，我把我们的多维表格，从结构和底层，全部做了一波重构，也顺便梳理了一整波的项目推进流程。 而现在，终于到了一个可以解禁的时间点，也给大家看一看，基于多维表格的应用模式所构建出来的应用效果，以及，一些应用模式的牛逼的地方和玩 法。 今天，两更！ 话不 ...

Core Viewpoint - The article discusses the impressive capabilities of the Nano Banana Pro model, highlighting its advancements in image generation, text rendering, and various creative applications, which exceed expectations [2]. Group 1: Image Generation Capabilities - The Nano Banana Pro can transform black-and-white comics into colored versions while translating text into Chinese, showcasing its enhanced text and image processing abilities [3][4]. - Users can create original black-and-white comics and apply similar transformations, demonstrating the model's versatility in style and material changes [7][10][12]. Group 2: Poster Design - The model exhibits strong capabilities in creating artistic posters, with improved Chinese text rendering that surpasses previous versions [15][16]. - Examples include generating retro movie posters and artistic representations of classic films, indicating its proficiency in handling complex visual and textual elements [19][22][24]. Group 3: Knowledge Visualization - The Nano Banana Pro, based on the Gemini 3 architecture, excels in generating knowledge explanation graphics, such as structural diagrams with detailed Chinese descriptions [27][29]. - It can produce educational visuals for various topics, including traditional crafts, showcasing its knowledge integration and rendering capabilities [31][33]. Group 4: Problem Solving and Academic Applications - The model can illustrate problem-solving processes, effectively visualizing mathematical solutions on a draft paper [35][36]. - It can convert lengthy academic papers into detailed whiteboard images, indicating its utility in educational settings [39][43][47]. Group 5: Game Interface Generation - The Nano Banana Pro demonstrates stability in generating game UI interfaces, capable of creating scenes from various game genres, including underwater exploration and first-person shooters [48][49][51]. - It can also generate in-game chat interfaces, reflecting its adaptability to different gaming contexts [52][56]. Group 6: Product Rendering - The model shows exceptional performance in product rendering, maintaining consistency in Chinese text across various scenarios [57][59]. - Examples include placing products in creative settings, such as a vintage record store, highlighting its artistic rendering capabilities [61][66]. Group 7: Unique Styles - The Nano Banana Pro supports unique styles like pixel art, producing stable and visually appealing results [69][70]. - This feature enhances the model's versatility, appealing to a broader range of creative applications [74]. Conclusion - The advancements in the Nano Banana Pro model reflect significant improvements in AI capabilities, particularly in image generation and text processing, indicating a strong potential for various creative and educational applications [75][82].

最近，都在玩一个非常有趣的AI社交产品。 对，AI+社交，听着就很抽象。 这个产品叫Second Me，现在还很小众。 自己玩了快一周半的时间，甚至找朋友白嫖了一些他们的NFC贴纸。 我现在属于是跟一些别的领域的朋友见面，基本要聊到最近有啥好玩的AI产品，我就会掏出我的手机，让他们来碰一下我贴在手机背面的NFC。 说，你先加一下我的AI分身，这个好玩。 他的玩法其实特别简单，在Second Me上建一个自己的AI分身，然后，让自己的AI分身，跟别人的AI分身聊天。 对，你的AI，跟别人的AI，聊天破冰。 跟很多AI陪伴型产品不同的是，别人的AI分身后面不是一个一个的虚拟角色。 而是也是，一个个现实中，真实的人。 这个产品刚刚上线也没多久，应用商店里就可以下载。 下载这步没啥说的，就是强调一下，记得认准下面这个橙色和紫色小人图标的app。 因为我当初搜的时候，不知道为啥，搜到了一些奇奇怪怪的东西。。。 作为一个I人，有情感地朗读文本对我来说还是有一点羞耻的。 不过好在它的克隆效果还不错。 至于为啥，不重要，反正你们别下错就行。。。 正常登陆之后，就可以制作自己的AI分身了。 一点进来，会看到一个很柔和的淡紫色的 ...

Core Viewpoint - Gemini 3 Pro has officially launched and is considered a significant advancement in AI models, outperforming its predecessors and competitors in various benchmarks [1][5][41]. Group 1: Model Performance - Gemini 3 Pro ranks first in almost all major Arena rankings, showcasing its superior capabilities compared to other models [5][6]. - In the benchmark "Humanity's Last Exam," Gemini 3 Pro scored 37.5%, significantly higher than Gemini 2.5 Pro (21.6%), Claude Sonnet 4.5 (13.7%), and GPT-5.1 (26.5%) [9][12]. - The model achieved a score of 95.0% in the AIME 2025 mathematics benchmark, demonstrating exceptional mathematical reasoning skills [9]. Group 2: Multimodal Capabilities - Gemini 3 Pro excels in multimodal understanding, scoring 81.0% in the MMMU-Pro benchmark, outperforming its competitors [9]. - In the ScreenSpot-Pro evaluation, which tests GUI grounding, Gemini 3 Pro achieved a score of 72.7%, indicating its strong ability to understand and interact with visual interfaces [14]. Group 3: Coding and Development Abilities - The model's coding capabilities are highlighted by its ability to quickly generate complex front-end code, completing tasks in mere seconds [15][30]. - Gemini 3 Pro can create detailed and functional web applications, such as a music player and a pixel art board, with minimal input from users [25][30]. - It can also replicate existing web designs from images, showcasing its advanced image-to-code conversion abilities [31]. Group 4: Future Implications - The launch of Gemini 3 Pro suggests a shift in the importance of traditional coding skills, emphasizing the need for creativity and detailed descriptions in prompts [42]. - The advancements in AI capabilities may redefine the landscape of front-end development, making it less reliant on conventional programming knowledge [42].

Core Viewpoint - The article discusses the launch of a new AI assistant named Lingguang by Ant Group, emphasizing its potential to revolutionize user experience through elegant design and interactive features. Group 1: Product Features - Lingguang stands out for its exquisite UI and interaction design, which evokes nostalgia for user experience design principles [2][3][18]. - The assistant provides not only text responses but also interactive charts and 3D models, enhancing the overall user engagement [10][18][20]. - Users can create applications within Lingguang, such as a life countdown timer, showcasing its capability to generate personalized tools quickly [27][39]. Group 2: User Experience - The reading experience is described as excellent, with well-organized content and visually appealing elements [7][8]. - Lingguang's speed in generating responses is comparable to traditional AI assistants, but with added visual and interactive components [8][10]. - The assistant encourages curiosity and engagement by transforming mundane questions into visually rich answers, making the inquiry process enjoyable [19][20]. Group 3: Future Potential - The article highlights the potential of Lingguang's "flash applications" to integrate with Alipay's ecosystem, which could significantly enhance its functionality and user experience [38][39]. - If successfully integrated with Alipay, Lingguang could automate financial management tasks, providing users with actionable insights and solutions [38][39]. - The vision for Lingguang is to evolve into a tool that allows users to delegate complex tasks to AI, thereby simplifying decision-making processes in daily life [39].

昨天，阿里的千问APP，在应用商店里。 终于悄悄上线了。 打开以后，就是一个非常简洁的颜色。 从之前的通义APP的双色渐变，变成了现在的属于千问的单色。 Qwen 系列的开源模型，已经在全球开源圈混成了一种公共基础设施的感觉，我相信所有做开发的人，提起Qwen，多数嘴角是上扬的。 功能增加了很多，模型也支持了Qwen全系列最新模型。 界面变得比以前简约了不少。 这个事非常有意思，我觉得非常的值得来聊一下。 我感觉阿里，好像找到了一种非常行之有效的打法，就是品牌的迭代。 前几天轰轰烈烈的饿了么改名淘宝闪购的事，互联网圈大家肯定都知道了。 表面上看，好像就是把几个字从A换成B。 但从品牌角度来说，这个决策极度的激进，但，确实把整个阿里的即时零售盘活了。 在反过来看AI这边。 其实非常坦诚的讲，阿里的AI，在全世界，都是首屈一指的，更有模型圈的源神之名。 基本就是吊打全世界。 但如果你细细的看一下，你就会发现。 所有模型的名字，都叫Qwen。 中文名，就是千问。 Qwen3-Max、Qwen3-VL、Qwen3-Omini等等等等。 而另一条线，偏艺术和视觉的，则叫Wan，也就是，万相。 比如我写过的Wan2.2- ...

Core Viewpoint - The article discusses the significant advancements in the foreign trade industry, particularly focusing on Alibaba's international platform and its new AI features, which are set to revolutionize the procurement process for businesses [5][50]. Group 1: AI Innovations - Alibaba's international platform is launching a new AI feature called AI Mode, which streamlines the procurement process by automating supplier searches and cost calculations [5][10]. - The AI Mode can handle complex procurement requests, such as finding suppliers for customized products with specific requirements, significantly reducing the time needed for sourcing [6][8]. - The AI Mode is built on the existing Accio platform, which has already gained substantial traction with over 2 million enterprise users in just nine months [50][52]. Group 2: Market Impact - The introduction of AI Mode represents a paradigm shift in the foreign trade sector, moving from traditional product listings to a more integrated workflow that emphasizes decision-making [53][56]. - This shift allows businesses to act as creators rather than just consumers, enabling them to design and source products tailored to their specific needs [58][61]. - The AI-driven approach simplifies the process of entering international markets, making it accessible for smaller businesses and individual entrepreneurs [62][64]. Group 3: User Experience - Users can interact with the AI to generate procurement plans, find reliable suppliers, and even receive logistics solutions tailored to their needs [36][43]. - The AI can also provide pricing strategies based on local tax policies, ensuring that businesses can effectively price their products for international markets [45][48]. - The overall experience is designed to empower users, allowing them to focus on creativity while the AI manages the complexities of sourcing and logistics [65][66].