▲ 戳蓝 色字关注我们！ 近日，未可知人工智能研究院院长杜雨博士受邀重返浙江工业大学，为大一新生带来《 AI什么都会，我们还做什么？——AI大潮下的自我升级与职业 未来 》主题公开课。 本次活动由未可知人工智能研究院与浙工大人工智能协会联合主办，是双方继去年首次合作后，在AI通识教育领域的又一次深度探索。 01 三维框架解析 AI对劳动力市场的深层变革 演讲伊始，杜雨博士结合课件中"人工智能对劳动力市场的三维影响"框架，抛出犀利观点： "AI不是来取代人的，而是来淘汰不会用AI的人" 。 他引用Acemoglu和Restrepo等学者的研究指出，宏观上AI的替代效应与创造效应正在激烈博弈，而胜负的关键在于人类能否主动拥抱变革——当创造 效应占优时，不仅就业总量会提升，更会催生出"十年前想都不敢想"的高薪新岗位。 中观层面，三大产业正经历"AI过滤式升级"，第一产业的智能农业机器人、第二产业的工业元宇宙工程师、第三产业的AI交互设计师，都是这场变革 的直接产物。 微观层面，"人机协作"早已不是未来时，而是"不会协作就会失业"的现在时。 他直指痛点："现在还抱着'学好一门手艺吃到老'的想法，无异于在AI时代'裸奔 ...

Core Viewpoint - The article emphasizes the significance of small to medium-sized private fund managers in the industry, highlighting the innovative strategies and risk management systems of Shanghai Sidaxinghui Private Fund Management Co., Ltd. [3] Company Overview - Shanghai Sidaxinghui Private Fund Management Co., Ltd. is a securities private fund company supported by the Shanghai State-owned Assets Supervision and Administration Commission and the China Chief Economist Forum [4] - The company is led by a team of experienced professionals, including Dr. Pang Yang, who has a PhD in Physics from Columbia University and extensive experience in quantitative modeling, and Ms. Cao Qingqing, who has a PhD in Computer Science from Shanghai Jiao Tong University [4][9] - The firm focuses on a classic all-weather strategy and has developed a unique Quantimental fundamental quantitative enhancement system [4] Core Team - The core team is composed of graduates from prestigious universities and aims to achieve long-term absolute return investment value for investors [9] Strategy Overview - The investment philosophy of Sidaxinghui is centered on "crossing cycles, steady and far-reaching," utilizing a quantitative all-weather enhancement strategy [13] - The firm emphasizes a deep understanding of cycles and systematic risk management in its investment approach [13] Core Strategies and Representative Products - The quantitative all-weather enhancement system has been refined since its launch in early 2019, achieving significant returns across different economic phases [17] - The company has launched a series of products, including "Tianji No. 1," which has shown impressive cumulative returns while maintaining strict risk controls [17] - The firm also offers auxiliary strategies that reflect its absolute return philosophy and showcase its multi-dimensional investment capabilities [18] Investment Framework - The investment framework combines Beta and Alpha, with Beta contributing approximately 70% and Alpha about 30% to the risk-return profile [22][23] Advantages - The team possesses a global perspective and local insights, combining international macro allocation with practical experience in the Chinese market [30] - The all-weather enhancement strategy integrates macro, fundamental, volume, and risk factors, achieving a dual-driven structure of risk parity and excess returns [31] - The firm has established a robust compliance and operational system backed by state-owned shareholders and leading custodians [33] - A long-termism and compounding culture is emphasized, focusing on providing investors with a stable investment experience [34] Continuous Evolution Capability - Sidaxinghui recognizes that long-term competitiveness comes from a systematic ability to evolve and adapt to market changes [35] - The company has implemented a data-driven closed-loop system for research, strategy, risk control, and execution [37] - Future plans include expanding global multi-asset layouts and exploring AI-driven asset pricing models [39]

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].

Core Insights - The article presents Yang Zhenning as a strategic investor in human civilization, emphasizing his long-term investment in knowledge, culture, and belief rather than financial assets [3][22]. - Yang's life choices reflect the principles of value investing and long-termism, making him a model for investors [3][26]. Group 1: Early Life and Education - Yang Zhenning's upbringing in Tsinghua University provided him with a strong educational foundation, which can be seen as an investment in high-quality educational assets [5][6]. - His ability to adapt and thrive during turbulent times, such as completing his studies during wartime, showcases his strategic foresight [7]. Group 2: Global Integration and Scientific Contributions - Yang's decision to study in the U.S. in 1945 marked a significant step in his career, akin to an "overseas IPO," allowing him to engage with leading physicists [8][9]. - He made groundbreaking contributions to physics, including the Yang-Mills theory, which laid the groundwork for particle physics, demonstrating the concept of delayed returns on investment in knowledge [10][12]. Group 3: Return to China and Strategic Investments - Yang's return to China in 1971 was not merely a visit but a strategic move to assess and invest in China's scientific potential [19]. - His various initiatives, such as advocating for basic research and establishing educational networks, reflect a long-term vision for China's scientific development [19][20]. Group 4: Legacy and Influence - Yang Zhenning's approach to wealth and influence emphasizes the importance of connecting people and knowledge, rather than merely accumulating financial assets [22][25]. - His actions have significantly raised the profile of Chinese science on the global stage, demonstrating the impact of strategic investments in human capital [25]. Group 5: Lessons for the Future - The article suggests that individuals can adopt a long-term investment mindset, focusing on substance over speed, which is increasingly relevant in today's fast-paced environment [26][28]. - Yang's principles of patience, collective progress, and a focus on enduring value serve as a guide for future generations [26].

Core Insights - The article emphasizes that wealth accumulation is primarily determined by one's understanding of money rather than just ability or opportunity [1][3][8] - It highlights the difference in mindset between the poor, who focus on saving, and the wealthy, who prioritize asset allocation and long-term thinking [3][6][9] Group 1: Understanding Money - Many individuals struggle financially not due to low income but because of a lack of financial understanding [1] - The article states that true wealth comes from recognizing money as a form of control rather than merely a means to spend [3][4] Group 2: Investment Mindset - The mindset of the wealthy involves a focus on long-term investment strategies rather than quick gains, which often leads to financial loss [3][5][7] - Historical examples illustrate that those who took calculated risks, such as investing in real estate or funds, have seen significant returns over time [3][4] Group 3: Future Opportunities - The article identifies emerging trends such as artificial intelligence and digital economy as key areas for future wealth generation [4][5] - It stresses the importance of early understanding and action in these areas to capitalize on potential financial benefits [5][6]

Core Insights - The article emphasizes the importance of genuine learning over superficial knowledge acquisition, highlighting that true growth begins with confronting one's ignorance [2][6][12] - It discusses the psychological challenges associated with learning, particularly the discomfort of feeling inadequate when faced with new concepts [9][10][12] - The piece outlines effective strategies and tools for meaningful learning, including the importance of mindset, material selection, and self-assessment [10][22][29] Mindset - Distinguishing between "real learning" and "pretending to learn" is crucial, as many individuals focus on acquiring superficial knowledge to enhance their social status [4][6] - The article stresses the need for resilience when confronting feelings of ignorance, suggesting that accepting one's limitations is a vital part of the learning process [5][12] - It highlights the psychological difficulty of maintaining a genuine learning mindset due to societal pressures to appear knowledgeable [9][10] Tools - The article recommends using spaced repetition as a powerful learning tool, supported by substantial data [22] - It emphasizes the importance of selecting learning materials that genuinely contribute to understanding rather than those that merely provide a sense of accomplishment [10][26] - Establishing a self-assessment system, such as taking notes and engaging in writing, is suggested as a method to evaluate one's learning progress [32][35]

Core Viewpoint - The accumulation of wealth for ordinary people relies on saving rather than gambling, emphasizing the importance of financial discipline and risk management [2][9]. Group 1: Importance of Saving - Ordinary individuals find it challenging to save money, often succumbing to the temptation of spending as soon as they reach certain savings milestones [3][4]. - The narrative illustrates that having a financial cushion is crucial for facing unexpected life events, such as health emergencies or job loss [14][26]. - The article highlights that saving money provides a sense of security and dignity, allowing individuals to navigate life's uncertainties with confidence [16][25]. Group 2: Real-Life Examples - A story is shared about a high-ranking executive who, despite a good income, faced financial ruin after failing to save adequately, illustrating the risks of overconfidence in financial stability [12][14]. - Another example discusses a person who lived paycheck to paycheck, only to realize the importance of savings after losing their job, leading to a change in financial habits [14][24]. - The experiences of individuals underscore the stark contrast in life outcomes between those who save and those who do not [25][27]. Group 3: Saving Strategies - The article suggests practical saving methods, such as the percentage method (saving 10% of income), the 365 saving method, and the 36-month deposit method, to encourage disciplined saving [28][29]. - Emphasizing the need for a structured approach to saving, it advocates for a mindset shift towards viewing savings as a means to achieve financial freedom rather than merely accumulating numbers [32].

Core Insights - Increasing numbers of young people are becoming addicted to saving money, viewing their savings as a source of satisfaction and motivation for future financial goals [3][5] - The concept of compound interest is gaining traction among young savers, who are shifting from traditional savings accounts to savings insurance products that offer better returns [3][5] - Asset allocation is becoming a crucial strategy for young individuals to maximize their savings and achieve financial security [5][6] Group 1: Saving Behavior - Young individuals are segmenting their savings into different categories such as emergency funds, investment funds, and long-term savings, ensuring each has a specific purpose [3][5] - The trend of using savings insurance products is on the rise, as they provide compound interest benefits that traditional savings accounts do not [3][5][11] - The psychological aspect of saving, where seeing increasing numbers in savings accounts provides a sense of accomplishment, is driving more young people to adopt saving habits [5][15] Group 2: Financial Planning - Young professionals are increasingly using platforms like Alipay to manage their savings and investments, opting for products that offer compound interest [5][8] - Individuals like Lu Yingying are adopting structured saving plans, allocating a portion of their salary to savings insurance, which yields higher returns compared to traditional fixed deposits [8][11] - The importance of financial security is emphasized, with many young people recognizing the need for insurance products to safeguard against future uncertainties [15][19] Group 3: Long-term Financial Security - The trend of purchasing insurance products for long-term savings, such as education funds for children, is becoming common among young families [19][17] - Individuals are increasingly aware of the need to plan for retirement early, with many starting to invest in pension plans to ensure financial stability in later years [21][23] - The concept of leveraging time and compound interest for personal growth and financial security is being embraced, with young people viewing savings as a means to achieve future freedom [25][26]

Core Insights - The book "大道至简：大师投资说" emphasizes a return to the essence of investing, focusing on value investment principles and localized strategies for navigating market volatility [3][4][10] Group 1: Value Investment Principles - The core of value investing is understanding that stocks represent a part of a business, and investors should analyze companies as they would their own businesses [4][10] - Long-termism is highlighted as a fundamental principle, requiring investors to maintain faith in the long-term growth potential of companies despite short-term market fluctuations [4][10] Group 2: Investment Framework - The author introduces a "three-dimensional perspective" for stock research, which includes industrial, financial, and risk perspectives [6] - The "86 system" focuses on qualitative analysis, emphasizing the selection of companies with clear business models, sustainable performance, and trustworthy management [6] - The "39 system" builds on the 86 system, advocating for contrarian investment strategies during market extremes [6] Group 3: Market Dynamics and A-Share Insights - The book addresses the high volatility of the A-share market, arguing that despite its challenges, value investing remains viable [9][10] - Historical data shows that high-quality companies like 贵州茅台 and 伊利股份 have provided substantial long-term returns, countering the notion of the A-share market being ineffective [9] Group 4: Overcoming Behavioral Challenges - The author identifies human nature as a significant barrier to successful value investing, with many investors losing direction due to short-term market movements [10][11] - Emphasizing the importance of independent thinking and emotional management, the book outlines key traits of successful value investors, including patience and decisiveness [11]

Core Insights - The article discusses the transformative impact of AI, particularly ChatGPT, on business and entrepreneurship, highlighting the importance of strategic thinking and problem-solving models in leveraging AI for growth [2][4][70]. Group 1: Discovering Problems - Many AI experiments fail not due to technical limitations but because of incorrect problem identification [8]. - The Johari Window model helps in understanding boundaries and expectations, revealing opportunities in the "AI doesn't know" quadrant [9][10]. - Emphasizing the need to respect the "I don't know" quadrant to avoid repeated investments based on false assumptions [12]. Group 2: Problem Decomposition - The Pyramid Principle and MECE framework are essential for structured problem decomposition, ensuring clarity and comprehensive coverage [28][30]. - The principle of Occam's Razor suggests prioritizing the simplest solution to avoid over-engineering [34][36]. - First Principles thinking encourages breaking down problems to their core elements for innovative solutions [39][41]. Group 3: Validation and Iteration - The MVP (Minimum Viable Product) approach advocates for quickly launching prototypes to gather user feedback and iterate based on data [49][51]. - Iterative thinking involves a cycle of prompt, output, review, and refinement to achieve optimal results [54][56]. - ROI (Return on Investment) awareness is crucial for understanding costs and benefits, emphasizing the importance of time and opportunity costs in decision-making [64][66].