AI 读懂孩子心思的创意伙伴 近日，在浙江省现代陶瓷艺术博物馆内，一场别开生面的 "亲子AI艺术创作启蒙课" 正在举行。 未可知特聘高级专家刘雪颖老师手持"会说话的画笔" ， 为在场的大小朋友们揭开了人工智能创作的神秘面纱。 从提问到创作 AI启蒙的第一步 "哪只皮卡丘是通过AI创作出来的？"活动以这个有趣的互动问题拉开序幕，孩子们争相举手回答，现场气氛瞬间活跃起来。在刘老师的引导下，孩子们 学习了如何 将简单的创意转化为精准的创作指令 。通过掌握"风格设定"、"细节强化"等关键技巧，原本抽象的想法瞬间变成了可视化的数字画作和视 频。 创作现场，老师和家长孩子们并肩协作，反复打磨提示词，共同优化作品细节。这一刻， 科技不再是冰冷的代码，而是连接亲子情感的创意桥梁 。 最终诞生的作品充满童真与创意：既有"睡在粉色沙滩上的小猫咪"、"睡在银杏树下的狐狸"的图片创作，也有"小猫扛起椅子丢出去"、"个人照片眨眼歪 头捋头发"的视频创作。每个作品都藏着独一无二的亲子创意。 AI魔法画笔 营造亲子共创的温暖时刻 刘老师通过这堂启蒙课展现了AI技术的全新可能性——它不是遥远复杂的技术，而是能够理解和实现孩子想象力的创意伙伴 ...

Core Insights - The article discusses the decline of social media usage, particularly among young adults, indicating a shift away from platforms that once thrived on user engagement and attention [1][3][4]. Group 1: Decline of Social Media Engagement - By the end of 2024, the average daily time spent on social media by adults aged 16 and above in developed countries is projected to drop to 2 hours and 20 minutes, a nearly 10% decrease compared to two years prior [3]. - The article highlights a significant drop of over 25% in users engaging with social media for purposes like "keeping in touch with friends" or "self-expression" since 2014, while passive users seeking to "kill time" have increased [5][6]. - Young users are increasingly disengaging from traditional social media, with a notable rise in the use of ephemeral content features, such as Instagram's "close friends" function, which surged by 217% [7][8]. Group 2: Content Quality and AI Impact - The rise of generative AI has led to a proliferation of low-quality, "super-processed content," which contributes to a decline in meaningful engagement on social media platforms [9][10]. - The article describes a phenomenon where real creators are forced to mimic machine-like behaviors to survive in a competitive environment, leading to a dilution of genuine connections [11][12]. - The prioritization of sensational content over quality has created a vicious cycle, driving away quality users and further degrading the content ecosystem [13]. Group 3: Emergence of New Social Structures - The decline of traditional social media has not resulted in its demise but has instead fostered the rise of more vibrant, community-oriented platforms where users seek deeper connections [14][15]. - Young users are increasingly aware of privacy risks and prefer to create closed circles for sharing transient content, reflecting a desire for digital sovereignty [16][22]. - The emergence of vertical communities signifies a return to meaningful connections, with examples of successful niche groups demonstrating the value of deep relationships over broad reach [17][23]. Group 4: New Business Models and Value Creation - The shift in social media dynamics is reshaping the underlying logic of the digital economy, moving from a focus on traffic to a focus on relationship quality [18][19]. - Community-driven business models are emerging, where value is derived from trust and engagement rather than mere traffic metrics [19][20]. - The article suggests that technology's role is being redefined, with AI applications in areas like elder care showing potential for positive impact, contrasting with the negative implications of AI in social media [20].

不信问问财务人员，还有人用算盘记账么？ 直到 OpenAI 创始人山姆・奥特曼最近有段播客内容刷屏，我终于敢更坚定地说出我内心的答案 —— 大部分家长全错了，而且错得离谱。 想象力比知识更重要，因为知识是有限的。 —— 爱因斯坦 这两年做了很多AI科普讲座，每次到提问环节，被问得最多的问题都是来自家长的： " 杜博士，现在让孩子学编程还是学 奥数 ？再不抓紧是不是就 晚了？ " 说实话面对这样的问题我在回答时是诚惶诚恐的，虽然我内心很清楚所谓编程也不过是正在被淘汰的工种，但很担心大部分家长在现阶段难以接受这 样的答案。 其实静下来想一想就知道——等孩子长大，还需要人来编程么？即使需要，那也不会是用现在学校教的方法来编。 山姆奥特曼，这位刚成为父亲的 AI 领军者，被问到 " 如何让儿子 30 年后不被 AI 替代 " 时，抛出的事实比手术刀还锋利： " 没有 AI，社会每 75 年 就会干掉一半的工作；有了 AI，这个速度只会快到超乎想象。 " 这句话像一记耳光，扇醒了所有沉迷 "技术军备竞赛" 的家长。 你以为让孩子从小啃完编程手册、背熟算法原理就是未雨绸缪？山姆的判断恰恰相反：等孩子长大成人，现在热捧的技 ...

抖音力推AI漫剧登上热门推荐位当抖音把AI漫剧推上热门流量池，阅文抱着IP库追着AI团队合作，某MCN靠AI漫剧单账号日入十万直接晒出截图—— 这个被AI撕开大口子的赛道，正在上演比三年前霸总短剧更疯的"抢钱"狂欢。 作为一家专注AI本土应用的研究院，未可知团队扎进AI漫剧一线，扒了近百家AI漫剧供应商的底——从剧本生成到分镜画稿，从角色动效到语音合成， 把这条被"价格屠夫"掀翻的产业链拆了个明白。 结论就一句话： AI漫剧不是待爆风口，是已经炸了的火药桶 ，赚钱速度比你想的霸总短剧野十倍。 机会面前，有人看看而已，有人永攀高峰。 —— 达 · 芬奇 成本砍到脚脖子！AI把漫剧做成"奶茶价"生意 三年前做漫剧还是"贵族玩法"，每分钟成本随便飙到800-1200元，光画师画分镜就占了六成成本。 01 但现在你去深圳龙岗的工作室看看：刚毕业的大学生靠AI工具，一天就能捣鼓出50分钟漫剧素材，单分钟成本直接压到 20-50元 ——这价儿，还没一杯 网红奶茶贵！ 这波成本"大跳水"，全靠AI对漫剧制作流程的"降维打击"，每一步都在省真金白银： • 剧本端 ：过去需要编剧团队打磨一周的剧情，现在用大模型输入"重生+复仇 ...

Core Viewpoint - The article discusses the current challenges faced by the robotics market, particularly the underutilization of robots and robotic dogs, which often end up as expensive decorations rather than functional tools. It emphasizes the importance of secondary development to unlock the full potential of these technologies [1][2][4]. Group 1: The Dilemma of Robots - The initial excitement surrounding the purchase of robots and robotic dogs often leads to disappointment as they fail to perform complex tasks effectively, resulting in them being underutilized [2][4]. - Many consumers find that their high-tech companions are limited in functionality, struggling with tasks such as cleaning or security patrols, which diminishes their perceived value [2][4]. Group 2: The Role of Secondary Development - Secondary development is crucial for enhancing the capabilities of robots, transforming them from seemingly useless devices into valuable assistants in various settings [4][5]. - For instance, a team can program robotic dogs to perform synchronized routines, significantly increasing their appeal and utility in commercial events [5][14]. - Human-shaped robots can be customized to perform specific tasks in office environments, such as serving drinks or greeting clients, thereby improving workplace efficiency and enhancing corporate image [7][10][20]. Group 3: Practical Applications and Success Stories - In commercial settings, well-developed robotic performances can attract large crowds, as demonstrated by a shopping mall event where robotic dogs increased foot traffic and sales significantly [15][17]. - At sports events, coordinated robotic displays can create a unique atmosphere, engaging audiences and enhancing the overall experience [17]. - Customized robots for exhibitions can effectively interact with visitors, providing information and generating leads, as evidenced by a technology exhibition where a human-shaped robot increased visitor engagement by nearly 50% [21][23]. Group 4: The Expertise Behind Development - The success of these robotic applications is attributed to the expertise of a specialized team at the Unseen Artificial Intelligence Research Institute, which includes AI experts and algorithm engineers [24][25]. - The institute offers comprehensive services from needs analysis to post-development support, ensuring tailored solutions for various applications [25][27].

Core Insights - The article emphasizes the necessity for professionals to adapt to the rapid advancements in AI technology, questioning the sustainability of their current expertise in the evolving job market [1][3]. Opportunities - AI is reshaping industries, and early adopters are reaping significant benefits. It is not a matter of choice but a necessity, as AI acts as a "restructuring hammer" impacting all sectors [5]. - AI enhances quality in smart manufacturing, efficiency in financial technology, breakthroughs in healthcare, and redefines experiences in education and training [6]. - Understanding how to leverage AI within one's industry equates to obtaining a "ticket" for career advancement, while those who lag may miss out entirely [8]. Challenges - The job market is undergoing a significant transformation, and failure to keep pace with AI advancements may lead to obsolescence. AI is disrupting traditional job roles, particularly those reliant on repetitive tasks [9][10]. - The competition in the workplace is shifting from a focus on singular skills to a demand for comprehensive abilities and innovative thinking. Those clinging to outdated methods will quickly fall behind [11][12]. Key Strategies for Career Advancement - **Cognitive Upgrade**: The essence of an MBA is a way of thinking. In the AI era, upgrading cognitive frameworks is crucial for achieving career breakthroughs and developing unique core competencies [12]. - **Equity Thinking**: Emphasizing long-termism in career development, akin to investment principles, is vital for navigating industry cycles [14]. - **Reverse Thinking**: Identifying opportunities in emotional blind spots created by AI's data processing capabilities can provide a competitive edge [15]. - **Risk Thinking**: Redefining risk as permanent loss rather than mere volatility shifts focus to capital preservation and sustainable survival [16][17]. - **Compound Thinking**: Emphasizing continuous accumulation of skills and knowledge leads to exponential career growth, contrasting with the linear growth of short-term efforts [18][21]. - **Leverage Thinking**: Utilizing AI as a leverage tool can amplify personal value and capabilities [22][25]. - **Brand Thinking**: In the age of AI, establishing a unique personal brand and influence is essential for standing out in a crowded job market [28]. - **Downhill Thinking**: Setting clear goals and creating diverse paths to achieve them is more effective than relying on predetermined routes [31]. - **Time Investment Thinking**: Managing time strategically to maximize efficiency is crucial in the AI era [35]. - **Lego Thinking**: The ability to deconstruct goals and efficiently assemble resources is key to success in a rapidly changing environment [38]. Actionable Guidelines - Professionals should adopt a mindset of continuous learning and humility, regularly acknowledging gaps in knowledge [47]. - Embracing change and breaking routine can foster innovation and adaptability [48]. - Building relationships across generations can enhance knowledge exchange and perspective [49]. - Long-term vision in decision-making is essential for sustainable career growth [50]. - Taking breaks can enhance productivity and creativity [51]. - Timely action on new ideas is critical to prevent loss of momentum [52]. - Establishing small, manageable habits can lead to significant long-term changes [53]. - Persistence in the face of challenges often leads to success [54]. - Learning probability and statistics can better equip professionals to handle uncertainty [56]. - Cultivating gratitude and positive relationships can enhance personal and professional opportunities [55]. Mastering AI - The essence of competition in the AI landscape is time management. Mastery of AI tools allows professionals to reclaim time, focusing on creative and strategic tasks, thus gaining a competitive advantage in career development [56].

Group 1 - The core argument of the article is that AI is not merely replacing jobs but is fundamentally undermining the theoretical foundations of the entire economic system [1][2] - The traditional GDP measurement is failing to reflect true human welfare and progress, as it is based on outdated metrics that do not account for the value created by AI and other non-monetary contributions [3][9] - The article highlights that the economic value of human labor is diminishing, with AI performing tasks more efficiently and at a lower cost, leading to a situation where human labor can be seen as a negative value [10][11][12] Group 2 - The pursuit of extreme efficiency in traditional economic systems has led to a lack of buffer, making the system vulnerable to risks, as illustrated by examples in global supply chains and agriculture [15][16][17] - The article discusses the collapse of four foundational assumptions of traditional economics in the AI era, including the scarcity of resources, the inherent value of human labor, the need for resource input for growth, and the monetary measurement of value [22][24][25][26][27][30] - The conclusion emphasizes the need for a new economic framework that values happiness, ecological balance, and the intangible aspects of life that cannot be quantified by money, suggesting that AI may help humanity rediscover what is truly valuable [32][35][37]

Core Viewpoint - The article discusses the drastic impact of AI on the job market, highlighting a divide between those who adapt to AI technologies and those who do not, leading to significant job displacement and new opportunities for those who embrace AI [2][35]. Group 1: Job Displacement - AI is rapidly replacing traditional jobs, with examples of professionals in advertising, journalism, and translation facing significant reductions in demand for their skills due to AI capabilities [4][6][8]. - The cost-effectiveness of AI solutions is emphasized, with AI-generated content and automated systems drastically reducing operational costs compared to human labor [5][31]. - Many workers are finding themselves in roles that have been diminished to mere oversight of AI outputs, leading to feelings of inadequacy and job insecurity [6][8]. Group 2: New Opportunities - In contrast, there is a surge in demand for AI specialists, with companies offering exorbitant salaries to recent graduates in AI-related fields, indicating a shift in the job market towards high-tech roles [10][12]. - The article stresses that the new generation of workers is not necessarily more intelligent but is simply positioned in the right field, focusing on how to leverage AI rather than traditional skills [12][14]. - Workers are encouraged to pivot their skills towards AI integration, emphasizing the importance of becoming "AI+X" professionals who can work alongside AI tools [16][33]. Group 3: Strategies for Adaptation - The article suggests that individuals should stop viewing themselves as replaceable parts and instead become "plugins" that enhance AI capabilities, focusing on areas where human insight is irreplaceable [15][18]. - It advocates for continuous learning and adaptation, urging workers to embrace AI tools to improve their efficiency and effectiveness in their roles [34][36]. - The need for a mindset shift is highlighted, where employees must learn to manage both human and AI resources effectively to remain relevant in the workforce [27][28].

Core Insights - The article discusses a lecture by Zhang Ziming, Vice President of the Unknown AI Research Institute, on the trends and practical applications of AI, particularly generative AI, which has evolved from traditional decision-making AI to a more creative form that impacts various content generation fields [1][3]. Group 1: AI Development Trends - Generative AI is becoming a significant force in transforming social productivity, with applications across text, audio, image, and video generation [3]. - The lecture highlighted the core evolution and technical principles of generative AI, emphasizing its role in various modalities [3]. Group 2: Practical Applications of AI Tools - Zhang introduced notable AI platforms such as DeepSeek, Midjourney, and Sora, detailing their functionalities and applicable scenarios [5]. - He demonstrated how to efficiently generate specialized content using prompt engineering, enhancing attendees' understanding of AI-assisted work and innovation [5]. Group 3: Challenges and Opportunities in AI - Despite facing challenges in computing power and financing, China is nurturing local models like DeepSeek, which are changing the AI ecosystem with their open-source strategies and cost-effectiveness [5]. Group 4: Future Directions of the Research Institute - The Unknown AI Research Institute aims to promote AI technology and its integration into various industries, focusing on government and enterprise training, as well as AI strategic consulting [7]. - The institute plans to strengthen collaborations with government and enterprises to facilitate the application of AI in public services and social governance, contributing to the construction of a digital China and a smart society [7].

Core Insights - The article emphasizes that the introduction of ChatGPT's "instant checkout" feature signifies a transformative shift in the e-commerce landscape, urging brands to adapt quickly to avoid missing out on significant market opportunities [1][3][5]. Group 1: Impact of AI on E-commerce - The shift towards conversational commerce is imminent, with predictions that 50% of AI shopping traffic will lean towards "conversational transactions" within the next six months [3][5]. - Brands that fail to optimize for Generative Engine Optimization (GEO) risk being excluded from the AI shopping ecosystem, similar to how brands missed out on early opportunities with platforms like Taobao [3][7]. Group 2: Consumer Behavior and AI Recommendations - A staggering 72% search loss rate is anticipated for brands not appearing in AI recommendation pages, as consumers are increasingly impatient and likely to switch to competitors if they cannot find desired products quickly [7][9]. - A test revealed that in a search for "handmade ceramic tableware for housewarming gifts," only 1 out of the top 10 recommendations was from a traditional well-known brand, highlighting the importance of precise GEO optimization [9][10]. Group 3: Competitive Landscape - The introduction of instant checkout will allow 1 million Shopify merchants to participate, intensifying competition for brands that are not prepared [14][16]. - Small brands that effectively utilize GEO strategies are outperforming larger brands, as evidenced by Etsy sellers who have seen significant order increases by optimizing their product descriptions for AI [16][17]. Group 4: Case Studies - A case study of a mid-tier home goods brand that neglected GEO optimization showed a rapid decline in AI-driven orders, dropping from 200+ monthly orders to zero within 30 days due to poor ranking and lack of engagement with AI [18][19]. - Conversely, a beauty brand that implemented a comprehensive GEO strategy saw a 400% increase in AI orders within 30 days, demonstrating the effectiveness of proactive optimization [21][22]. Group 5: Strategies for Success - To thrive in the AI shopping era, brands must establish a comprehensive GEO system that encompasses content, ranking, and conversion strategies [25][26]. - The "three-engine model" proposed includes intent recognition, dynamic ranking, and conversion enhancement, which are essential for adapting to the fast-paced changes in AI-driven commerce [27][29]. Group 6: Urgency for Action - The article stresses that the next six months represent a critical window for brands to implement GEO strategies before the AI shopping landscape becomes saturated with competitors [31][32]. - Data indicates that consumers are increasingly decisive in their purchasing decisions after using AI recommendations, underscoring the need for brands to secure favorable rankings in AI search results [34][35].