生成式AI 重塑电力行业的新引擎 张孜铭在讲座开篇便指出，生成式AI与传统决策式AI存在本质区别："生成式AI如同在做考试的主观题，专注于创造新内容；而决策式AI则是在做客观题，侧重 于做出最优决策。"这一形象的比喻让在场听众瞬间理解了AI技术发展的核心差异。 在 国家电网湖北省电力公司 近日举办的人工智能主题讲座上， 未可知人工智能研究院副院长张孜铭先生 以 《生成式AI与具身智能：趋势洞察与电力行业的应 用》 为题，带来了一场深度与广度并重的技术分享。这场讲座不仅揭示了AI技术的最新发展脉络，更为电力行业的智能化转型提供了切实可行的实施路径。 技术原理深入浅出 通过详实的数据展示，张孜铭揭示了 生成式AI的爆发式增长趋势 。全球AI市场规模持续扩张，其中生成式AI占比不断提升，正在成为产业革新和经济增长的新 引擎。在电力行业，这种技术变革显得尤为迫切和重要。 应用场景丰富多彩 张孜铭通过生动的比喻解释了复杂的AI技术原理。"文生文的实现类似于文字接龙，而文生图则像是理解人想画什么的模型加上画出来的模型。"他特别强调了 注意力机制的重要性："AI模型和人类一样需要抓重点，这就是Attention is Al ...

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].

Core Viewpoint - The article emphasizes that traditional education methods, such as focusing on programming or mathematics, may not prepare children for a future dominated by AI. Instead, it advocates for developing skills that AI cannot replicate, such as learning how to learn, understanding human emotions, and resilience in the face of challenges [3][5][24]. Summary by Sections 1. The Importance of Learning How to Learn - The article argues that children should focus on "how to learn" rather than accumulating knowledge, as the rapid evolution of industries and tools means that specific knowledge may quickly become obsolete [7][8]. - AI can access vast amounts of information almost instantaneously, making rote memorization less valuable [9][10]. 2. Understanding Human Needs - The ability to understand and connect with people is deemed far more valuable than technical skills. AI lacks the capacity to truly comprehend human emotions and needs, which are crucial in business and interpersonal relationships [12][13][15]. - The World Economic Forum identifies interpersonal communication skills as essential for the future workforce, highlighting the importance of emotional intelligence [13]. 3. Resilience and Creativity - The article stresses that resilience and creativity are more important than mere intelligence. Many highly intelligent individuals struggle to adapt to changes brought about by AI, while those with a growth mindset thrive [16][19][20]. - The ability to innovate and adapt is crucial in an era where job roles and industry standards are rapidly changing [18][21]. 4. Rethinking Educational Approaches - The author calls for a shift away from outdated educational practices that focus on rote learning and technical skills, advocating instead for an education that fosters creativity, emotional understanding, and adaptability [22][23][24]. - The ultimate goal of education should be to cultivate leaders who can create new rules rather than merely conforming to existing ones [23][26].

Core Viewpoint - The rise of AI comic dramas is not just a potential trend but a rapidly expanding market, with profitability outpacing traditional short dramas by tenfold [1]. Cost Reduction and Production Efficiency - The production cost of comic dramas has drastically decreased from 800-1200 RMB per minute to 20-50 RMB, thanks to AI tools [3][4]. - AI has streamlined the production process, allowing script generation in 10 minutes and visual creation with tools like Midjourney, enhancing efficiency by over ten times [3]. - Traditional animation techniques have been replaced by AI tools that automate lip-syncing and body movements, reducing production time significantly [3]. Market Demand and User Demographics - The primary user base for AI comic dramas is aged 18-45, with 68% from third and fourth-tier cities and over 70% being female [8]. - Users prefer fast-paced, high-conflict storylines, which AI comic dramas effectively deliver [9]. - A specific AI comic drama achieved over 5 billion views on Douyin, indicating strong market demand [11]. Monetization Strategies - AI comic dramas are diversifying their revenue streams beyond traditional advertising, including live streaming sales and IP derivatives [13]. - Advertising revenue can reach 5,000-8,000 RMB per episode with over 1 million views, and can exceed 100,000 RMB for viral hits [14]. - Live streaming during key plot points has proven lucrative, with one instance generating 3 million RMB in sales [15]. - The clarity of copyright for AI-generated characters allows for extensive IP development, including virtual idols and merchandise [16]. Challenges and Risks - The industry faces risks such as content homogenization, with 80% of AI comic dramas following similar tropes, potentially leading to viewer fatigue [19]. - Copyright issues remain a concern, as similarities to existing IPs can result in legal disputes [19]. - Regulatory scrutiny is increasing, with platforms beginning to implement content reviews for AI-generated material [19]. Conclusion - The emergence of AI comic dramas represents a significant shift in the cultural industry, driven by cost efficiency and high production capabilities, positioning it as a potential new revenue-generating phenomenon [20]. - However, sustainable success will depend on innovation in content, managing copyright risks, and adapting to regulatory changes [21].

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].