神译局是36氪旗下编译团队，关注科技、商业、职场、生活等领域，重点介绍国外的新技术、新观点、新风向。 编者按：当产出归于算法，人类最后的筹码是无法被商品化的"主体性"。在意义荒漠里，你的独特偏见就是最贵的真资产。文章来自编译。 每个人都在担心人工智能是否会取代自己。 但我禁不住在想，人类经验中总有一些东西是无法被取代的。 我始终认为人类仍然渴望工作。也就是说，他们仍想创造些什么，与他人分享，并通过获得某种形式的报酬来让自己的贡献得到认可。这是人性中根深蒂固 的一面。遗憾的是，当"生产力"演变为我们的上帝，工作便成了一个被剥夺了意义的贬义词。 我不怎么担心工业化工厂式的工作被自动化取代。我们都清楚那种毫无灵魂的深渊会对人造成怎样的消磨。 通用人工智能（AGI）会包揽所有的散文创作和艺术生产吗？ 如果奋斗、地位和好奇心是意义的源泉，而 AGI 承诺要让我们摆脱这些，那我们该怎么办？ 如果真有那么一样东西是 AGI 无法取代的，那会是什么？ 在一个物质不再稀缺的世界里，你如何让自己成为稀缺品？ 我想分享关于工作未来的 6 个观点，包括作为创意工作者必须优化的技能和特质，以及最终如何在令人望而生畏的未来过上更有意义的 ...

Core Viewpoint - The article emphasizes the importance of personal engagement in thinking and writing, particularly in the context of AI's role in creative processes. It argues that while AI can assist in generating content, it cannot replace the essential human experience of struggle and reflection that leads to genuine understanding and growth [11][56]. Group 1 - AI writing can produce clear and structured drafts, but human intervention often involves simplifying and refining the content to better reflect personal thought [6][7]. - The act of writing is portrayed as a process that forces clarity in thought, transforming chaotic ideas into coherent expressions [18][20]. - Engaging with AI can create a false sense of understanding, where individuals may feel they comprehend concepts without undergoing the necessary cognitive struggle [24][27]. Group 2 - The distinction between "Writes" and "Write-Nots" highlights the difference between those who actively engage in writing as a form of thinking versus those who rely on external sources [15][16]. - The article discusses the significance of taste and aesthetic judgment in the AI era, where individuals must remain critical of AI outputs to foster personal growth and improvement [34][38]. - Continuous engagement in creative processes is necessary to maintain and develop one's taste, as neglecting this can lead to a decline in critical judgment [43][44]. Group 3 - The article suggests that deep conversations with AI can provide valuable insights, but they lack the emotional and experiential depth that human interactions offer [45][48]. - It warns against the ease of substituting personal thought with AI-generated content, which can lead to a gradual decline in critical thinking skills [53][56]. - The call to "be human again" emphasizes the need for individuals to embrace the messy, imperfect aspects of thought and creativity that AI cannot replicate [57][58].

Group 1 - The article discusses the potential impact of AI on the future of work, emphasizing that while AI may automate many tasks, it cannot replace the intrinsic human desire to create and be recognized for contributions [2][4][25] - It highlights a fundamental aspect of human nature, suggesting that people will continue to seek meaningful work and connection, even in an AI-dominated landscape [3][21][44] - The author proposes that the meaning crisis in society has made meaning itself a scarce commodity, leading to a need for new structures and frameworks to generate meaning in work and life [6][19][23] Group 2 - The evolution of societal structures and the techno-economic base is discussed, indicating that as societies progress, the dominant worldview and value systems shift, impacting how meaning is derived [8][12][18] - The article outlines the transition from premodern to modern and postmodern worldviews, ultimately leading to a crisis of meaning that must be addressed in the upcoming age of intelligence [10][19][20] - It suggests that the future will require individuals to embrace their roles as creators and problem solvers, actively generating meaning rather than relying on external sources [41][47][48] Group 3 - The concept of the creator economy is introduced, positing that individuals will derive income and meaning from their creative endeavors rather than traditional employment [52][58] - Attention is identified as a scarce resource in the creator economy, with successful individuals capturing and leveraging it to build meaningful connections and communities [53][54] - The article emphasizes that the creator economy is not a zero-sum game, allowing for diverse paths to success and fulfillment beyond the pursuit of wealth [58][60]

Core Viewpoint - The article discusses the strategic choice of Yi Yang Qianxi as the brand ambassador for Li Auto, emphasizing the importance of taste and differentiation in branding and identity [1][2]. Group 1: Insights on Taste and Branding - The essence of taste is described as a tool for self-differentiation and identity signaling, serving social distinction needs [1]. - The pursuit of differentiation is a fundamental human instinct, akin to how products need differentiation to stand out in the market [1]. Group 2: Key References Supporting the Choice - In a conversation on "Hot Waves," Li Xiang took time to consider Yi Yang Qianxi as a suitable actor, highlighting his versatility and ability to embody different roles effectively [1]. - A peer in the AI industry noted that Yi Yang Qianxi has a unique appeal due to his consistent quality in film roles and his participation in a street dance variety show, which adds to his image of authenticity [2]. - A dialogue featuring Luo Yonghao and Bi Gan emphasized the high regard for Bi Gan's artistic expression, with Yi Yang Qianxi starring in Bi Gan's acclaimed film "Wild Times," indicating a strong connection between quality filmmaking and the ambassador's image [3]. Group 3: Importance of Communication Skills - The article highlights the high value placed on communication skills, suggesting that individuals with strong expression capabilities are often of high caliber [4].

Group 1 - The concept of "taste" encompasses not only aesthetic appreciation but also direction and personal judgment, which are crucial for achieving significant accomplishments [4][6] - Bill Gates expressed a desire to learn about taste from Steve Jobs, highlighting the criticism of Microsoft's lack of taste and cultural depth in its products [2] - Yang Zhenning emphasized the importance of taste in the field of physics, suggesting that personal aesthetic judgment influences one's approach and understanding of the subject [4] Group 2 - In the era of artificial intelligence, human advantages lie in taste and subjective spirit rather than in computational abilities, memory, or efficiency [6] - The foundational logic of an individual, shaped by their worldview, values, and experiences, plays a significant role in determining life choices and paths [6] - The absence of taste leads to a lack of true individuality, and successful individuals often possess a strong personal character [7]

Industry Overview - The AI industry is transitioning from a phase of model competition to productization and ecosystem integration, focusing on user entry points, agent standards, and terminal capabilities [1][2] - The key terms in AI have shifted from "larger models" and "faster inference" to "agents," "autonomous execution," and "delegated programming" [2] Model Development - New generation foundational models like GPT-4.5 and Gemini 2.5 Pro represent a significant shift in AI's cognitive capabilities, moving from passive responders to models that engage in self-reflection and multi-step reasoning [4][5] - These advanced models can now decompose complex questions, reason through multiple paths, and select optimal solutions, resembling human-like thought processes [4][5] AI Agents - AI agents are evolving from simple tools to autonomous entities capable of executing complex tasks, marking a new stage in AI applications [7][8] - They can perceive their environment, autonomously plan, utilize tools, connect data, and complete multi-step tasks, fundamentally changing human-software interaction [10][12] AI Programming - The programming landscape is shifting from AI as an assistant to AI taking on full task delegation, significantly enhancing developer productivity [14][16] - AI agents can now accept natural language programming tasks, generate code, conduct testing, and manage deployment processes, allowing developers to focus on higher-level design and strategy [15][17] Business Model Evolution - The industry consensus is moving from "Model as a Service" (MaaS) to "Results as a Service" (RaaS), emphasizing the delivery of measurable outcomes rather than just tools [20][21] - This shift requires AI companies to focus on quantifiable business metrics such as GMV growth and customer satisfaction, transforming AI from a cost center into a profit engine [21][22] Workforce Impact - As AI capabilities expand, the unique human skills of taste, judgment, and direction become increasingly valuable, positioning humans as collaborators rather than competitors to AI [24][25] - Future roles will emphasize strategic thinking and problem definition over technical execution, with engineers and product managers acting more as architects and visionaries [26][27]

Group 1 - The core idea is that in the AI era, taste has become a new scarce resource, as production is no longer limited [3][4][6] - Taste is difficult to quantify and process, but it is essential for creating products that resonate with users [4][7] - Top founders understand that taste is a competitive advantage that accumulates over time, influencing design, code, corporate culture, and equity structure [8][9] Group 2 - Companies often confuse taste with aesthetics, but true taste involves making difficult decisions that may sacrifice market expansion for quality [11][12] - Taste and rapid iteration are not opposites; a clear sense of taste can accelerate decision-making and reduce rework [12][13] - Consistency in taste can transform chaos into clarity, guiding numerous small decisions that enhance the overall user experience [16][20] Group 3 - Sales teams must embody the company's taste, ensuring that every interaction reflects the product's values and principles [21][25] - High-quality go-to-market strategies respect the audience's intelligence and focus on delivering value rather than just quantity [25][32] - Companies with taste can maintain founder-led leadership longer, as taste is transmitted through shared decision-making and mentorship [29][30] Group 4 - Taste is not universally dominant; in some markets, functionality can overshadow aesthetics, especially when alternatives are limited [32][34] - The rewards of taste are immediate and cumulative, fostering trust and attracting top talent who value craftsmanship [35][36] - In an era where AI can replicate functionality, taste becomes the ultimate differentiator that cannot be easily copied [36][39]

Core Viewpoint - In the AI era, taste is becoming a new scarce resource, as production is no longer limited. Companies must focus on creating products that convey a unique philosophy rather than just functionality [2][4]. Group 1: Importance of Taste - Taste is difficult to quantify and process, yet it is essential for creating products that resonate with users [2][3]. - Taste is not merely about aesthetics; it involves thousands of consistent decisions that create a compound effect [4][12]. - Top founders understand that taste is a competitive advantage that permeates design, code, corporate culture, and even equity structure [5][6]. Group 2: Challenges in Defining Taste - Many companies confuse taste with aesthetics, believing that hiring a design firm or choosing a nice font is sufficient [7]. - True taste requires sacrifices, such as rejecting features that could expand market size or spending time optimizing details that users may not notice [8][9]. Group 3: Taste and Rapid Iteration - Taste is not the opposite of speed; rather, it is a prerequisite for sustainable speed in product development [9][10]. - A clear understanding of what to build and why can reduce rework and speed up decision-making processes [11]. Group 4: The Compound Effect of Taste - Taste transforms chaos into clarity, allowing teams to navigate numerous small decisions intuitively [11]. - A product that feels well-considered leads users to trust its infrastructure, security, and future planning [12]. Group 5: Sales with Taste - Early sales hires should view sales as a craft, ensuring they understand the company's vision and can empathize with users [13][14]. - High-quality sales interactions teach potential customers how to understand the product, reinforcing the company's values [15]. Group 6: Scaling Taste - Scaling taste requires systematic approaches, starting with founder oversight on user-facing decisions to ensure consistency [18]. - Hiring talent that bridges vision and execution is crucial for maintaining taste [19]. Group 7: The Nature of Taste - Taste cannot be directly taught; it is developed through practice and experience [21]. - Founders can clarify their taste by explaining their choices and establishing shared quality standards [21]. Group 8: Limitations of Taste - Taste does not dominate all markets; companies can succeed even with less appealing designs if they solve urgent problems [23]. - Understanding the competitive environment is key; taste becomes critical when alternatives are available [23]. Group 9: Long-term Benefits of Taste - Taste resists commoditization as it integrates into a philosophy of decision-making [24]. - The rewards of taste are immediate and accumulate over time, leading to user forgiveness for missing features and attracting top talent [24][25].

Core Insights - The article discusses the rapid advancements in AI technology and its impact on various sectors, particularly in China, highlighting the surge in AI application usage and the activation of related markets and industries [3][4][5]. Group 1: AI Product Development - Many AI products now possess search capabilities that can bypass common barriers, allowing users to access updated global technology and knowledge [6][8]. - The introduction of DeepSeek has significantly increased public interest in AI applications, leading to a surge in user numbers and engagement across major domestic AI service providers [11]. - The demand for computing power is becoming a core asset, with the cloud service market increasingly recognizing the importance of computing platforms [12]. Group 2: Market Dynamics - The success of DeepSeek has led to a spike in orders for domestic chips, as real-world applications have emerged, despite existing performance gaps compared to Nvidia [13]. - The AI application market is experiencing explosive growth overseas, with Chinese teams successfully penetrating international markets, often prioritizing profitability over domestic competition [25][27]. - Investment in domestic AI research teams is on the rise, with both local and foreign investors showing renewed interest in the sector [20]. Group 3: Government and Regional Impact - Local governments in regions like Shanghai and Shenzhen are reassessing policies to support the growth of local tech enterprises, inspired by the success of companies like DeepSeek [21]. - The AI boom is also revitalizing the real estate market in certain areas, as talent attraction efforts increase [23]. Group 4: Compliance and Challenges - Chinese teams expanding overseas face dual compliance challenges, needing to navigate both domestic regulations and international requirements [27]. - The article emphasizes the importance of careful consideration regarding compliance risks when pursuing international business opportunities [27].