Core Insights - The essence of achieving success in any field is the necessity of significant effort and time investment, often referred to as reaching a "critical point" [1][2][4] - Many individuals fail to achieve their goals because they do not reach this critical point, remaining in a state of low performance and frustration [2][3] Investment in Learning - Mastery in skills such as language learning or programming requires substantial repetition and time, with specific benchmarks like memorizing around 6,000 words for basic reading comprehension in English [3][4] - The concept of "super accumulation" is crucial, where reaching a certain level of knowledge leads to breakthroughs in understanding and performance [4][10] Methodology and Approach - A focus on foundational skills is essential; for instance, in programming, writing a significant amount of code (e.g., 10,000 lines) is necessary to grasp the basics [5][9] - The relationship between time invested and skill level is non-linear, often resulting in sudden leaps in understanding after prolonged effort [10] Common Misconceptions - Many learners seek shortcuts or advanced materials prematurely, which can hinder their progress; starting with simpler concepts is recommended [8][9] - The idea that one can achieve results without substantial effort is a misconception; consistent and focused time investment is critical for success [7][17] Psychological Aspects - Feelings of confusion and frustration during the learning process are normal and should be expected; perseverance is key to overcoming these challenges [17][14] - The journey of learning is likened to a gradual process, where individuals must navigate through difficulties to achieve mastery, similar to a child's development [9][14]

Core Viewpoint - The article discusses the growing resistance against AI usage among creators and professionals, emphasizing the value of human creativity and the potential negative impacts of AI on skills and personal expression [3][12][47]. Group 1: Resistance to AI - Jess Johnston and Amy Weatherly, prominent authors with nearly 2 million social media followers, express their refusal to use AI, believing that genuine human expression cannot be replicated by AI [2][3]. - The comments on their post reveal widespread support for resisting AI, indicating that this sentiment is not as niche as expected [5][6]. - The article draws parallels between current resistance to AI and historical movements against technological advancements, such as the Luddites during the Industrial Revolution [9][10][49]. Group 2: Concerns Over Skill Degradation - The article highlights concerns that reliance on AI may lead to "de-skilling," where individuals lose their unique skills and become mere operators of AI tools [21][22]. - Ben, a UI programmer, argues that using AI for tasks can result in a loss of understanding and critical thinking, as individuals may become overly dependent on AI-generated outputs [15][27]. - A study from MIT suggests that habitual use of chatbots may lower cognitive engagement, raising concerns about long-term impacts on learning and skill retention [25][26]. Group 3: The Value of Human Creativity - Many creators, including Liu Chang, argue that artistic expression should remain a human endeavor, as AI lacks the emotional and intentional depth that characterizes true creativity [40][41]. - The article posits that the choice to use or reject AI reflects deeper values regarding the creative process and the importance of maintaining human agency in artistic endeavors [35][39]. - The ongoing debate about AI's role in creative fields underscores the need for individuals to critically assess their relationship with technology and its implications for personal expression [52].

Core Insights - The article discusses the evolution of "technological leverage" in business, culminating in the emergence of "unmanned companies" driven by AI, which automate cognitive processes and redefine organizational structures [2][3][20]. Group 1: Evolution of Technological Leverage - The historical progression of leverage in business can be categorized into four paradigms: physical leverage, process leverage, connection leverage, and cognitive leverage [6]. - The physical leverage era relied on human skills and limited tools, resulting in low productivity and linear relationships [7][9]. - The industrial revolutions introduced physical leverage through steam engines and electricity, significantly increasing productivity and leading to new organizational forms like factories [8][11]. - The software revolution marked the process leverage era, enabling standardized processes but facing limitations in adaptability [12][15]. - The internet era introduced connection leverage, allowing for the aggregation of isolated services and users, reducing distribution costs [13][14]. - The cognitive leverage era, driven by AI, automates thinking and decision-making processes, leading to unprecedented organizational transformations [15][18]. Group 2: Emergence of Unmanned Companies - "Unmanned companies" are characterized by minimal human involvement, with AI systems autonomously handling information processing, decision-making, and task execution [20]. - The operational mechanism of unmanned companies is based on an automated OODA loop (Observe, Orient, Decide, Act), enhancing market adaptability and operational efficiency [21][22]. - The technology stack of unmanned companies consists of a cognitive core for strategic decision-making, automated business processes for operational tasks, and an interface layer for external connectivity [23][24]. Group 3: Redefining Competitive Advantage - The rise of unmanned companies shifts competitive advantages from operational efficiency to the ability to define strategic goals and insights [27]. - Companies will focus on building unique data loops to optimize AI models, creating a "smart flywheel" effect that enhances decision-making and user engagement [27][28]. - The role of human employees will evolve to focus on high-level strategic functions, emphasizing critical thinking, creativity, and ethical oversight [29]. Group 4: Challenges and Risks - The transition to unmanned companies presents systemic risks, including alignment of AI goals with human welfare, transparency in AI decision-making, and potential security vulnerabilities [30][31]. - The societal impact of unmanned companies may lead to significant disruptions in traditional job markets and wealth distribution [32]. Group 5: Future of Business - The future of business will involve mastering the new leverage of AI while ensuring human oversight and ethical considerations remain central to decision-making [35][36].

AI创业的黄金时代，也是尸横遍野的修罗场，别让你的梦想死于现金流断裂。 风口之下，99%的AI创业者，都倒在了没算清这本"账"上。 一、什么是"估值生意"？ "估值生意"的本质，说白了就是一场关于"未来梦想"的大型拍卖会。 创业者站在台上，激情描绘着一个技术颠覆世界、用户蜂拥而至、最终垄断市场的宏伟蓝图。投资者们 则竞相出价，赌的就是这个描绘中的未来能成真，而且能成得特别大、特别快。 支撑这个梦想的核心逻辑，在于追求那种"赢家通吃"的网络效应——用户越多产品越好用，产品越好用 用户就越多，最终形成难以撼动的垄断地位；或者押注于某种革命性的技术突破，一举改变行业规则。 但这场美梦有个残酷的前提：它需要源源不断的巨额资金来喂养。 在AI这个领域，这场"估值游戏"的门槛高得吓人，训练强大的AI模型就像养一只吞金兽，算力（那些贵 得要命的显卡和服务器）、海量的数据、以及顶尖人才的薪水，每一项都是天文数字。 而且，AI不是一锤子买卖，模型需要像手机系统一样不断升级迭代，这又是个无底洞。 尤其在像ChatGPT那种"基础大模型"的层面，规则更残酷，只有最顶尖的少数玩家能活下来并通吃大部 分利益，其他人连汤都喝不上热乎的。 ...

Group 1 - The article discusses the cultural significance of eating eel in Japan during the summer, particularly on the "Doyou Ushi no Hi" (土用丑日) which falls around late July to early August [3][8][10] - Eel is believed to be beneficial for health during this hot season due to its high-quality protein and vitamin B content, which can alleviate fatigue and loss of appetite [7][10] - The tradition of eating eel on this day reportedly originated in the Edo period as a marketing strategy to boost sales during the summer when eel sales were low [14][16] Group 2 - There is a growing concern in Japan regarding the potential classification of eels as endangered species, which could lead to increased prices and scarcity [16][19] - A proposal to list 19 species of eels under Appendix II of CITES was submitted, which would require trade regulations and could impact supply chains significantly [17][22] - Japan opposes this proposal, arguing that its eel resources are well-managed and sufficient, and plans to collaborate with neighboring countries to contest the classification [20][22] Group 3 - Approximately 70% of eels consumed in Japan are imported, making the market vulnerable to international trade restrictions [22] - Most eels available in the market are farmed, but they rely on wild-caught juvenile eels for breeding, which raises sustainability concerns [23][26] - The lifecycle of eels is unique, involving long migrations for spawning, which complicates their conservation and farming practices [24][26] Group 4 - The article highlights three main types of eels that are commonly consumed: Japanese eel (Anguilla japonica), American eel (Anguilla rostrata), and European eel (Anguilla anguilla) [31][33][34] - Japanese eel is the most popular and is primarily used in traditional dishes, while American eel is gaining market share due to stable juvenile resources [33] - The article also notes that the origin of eels is often labeled in supermarkets, which can affect consumer choices and pricing [36]

《亮剑》播出20年后，李云龙带着他的独立团，又杀回来了。 7月3日，国新办举办了新闻发布会，宣布中央广播电视总台"重温经典"频道将在7月至9月集中展播一批 抗战题材经典作品，其中《亮剑》将于9月重播。 2005年是抗日战争胜利60周年，作为献礼剧的《亮剑》在央视播出即火，凭借13.7%的超高收视率一跃 成为当年的荧屏冠军。角色性格鲜明、台词富有生气、剧情不拖泥带水……《亮剑》就这样成为一代人 的集体回忆。 20年来，人们对于这部剧的喜爱并未减退，《亮剑》的豆瓣评分仍在逐年上升，目前已经高达9.5分。 直到现在，《亮剑》里的许多经典台词还成为人们常用的网络热梗和表情包。一言不合，就要拿出"二 营长的意大利炮"，晋绥军358团团长楚云飞也时刻在表情包中准备调侃"你啊，总是能给我出点新花 样"。 然而，这么多年过去，每当观众盘点或重温经典抗日电视剧时，却发现来来回回总是《亮剑》《我的团 长我的团》《雪豹》等这几个老面孔。而对于后面相继出现的充满逻辑硬伤甚至剧情开挂的"抗日神 剧"，人们也难免疑惑：拍出一部好看的抗日剧，有这么难吗？ 一、火了20年的《亮剑》，是怎么拍出来的？ 2000年，作家都梁创作出了《亮剑》的原 ...

7月8日，重庆人力资源和社会保障局微信号上发布的一篇文章，在各大社交媒体上不胫而走，里面明确 指出：在不违反纪律、不泄露信息、不影响主业的情况下，机关事业单位干部可以从事自媒体、健身教 练、跑滴滴、送外卖等合规副业。 其后，成都日报、湘潭市人民政府网、福建省人民政府新闻办公室、河南省疾病预防控制中心等官方媒 体也先后转发了这条信息，范围覆盖中国大江南北。 相关内容的留言区里，置顶的多是叫好声："这个政策好""重庆是个包容性很强的城市""通过吃苦努力 正当收入应该支持"…… 也有不少自称是公务员的ID，表达出一种"不敢信"的态度，"什么时候公务员被允许做副业了"，还有人 说"连卖自己的快递箱纸板都会被保洁阿姨举报"，何谈做副业。 网友热议的另一面，是现实中公务员的集体沉默。当听到可能的新风向，凤凰网接触到的8名公务员都 觉得，尽管对同事业余搞兼职已司空见惯，但真把"做副业摆上台面"是"不可能的"。他们更倾向拥抱一 直以来的信条：做副业的前提是"要隐蔽"。"因为一报备就是一个不允许"，"做副业等于和晋升无缘"。 吊诡的是，众人将信将疑其时，作为"开了口子"的重庆，却已把上述"允许公务员副业"一文删除。当凤 凰网7 ...

Group 1 - The article discusses the challenges faced by project managers in bureaucratic systems, using the historical example of Li Shande in the Tang Dynasty, who was tasked with delivering lychees to the emperor under impossible conditions [6][10][41] - It highlights the disconnect between high-level decision-makers and the practical realities of project execution, emphasizing that decisions often stem from personal whims rather than data-driven analysis [12][13][19] - The narrative illustrates how middle management can become a "black hole," transferring pressure downwards without providing necessary resources or support, leading to organizational inefficiency [17][18][21] Group 2 - The article emphasizes the importance of adaptability and innovation in overcoming bureaucratic obstacles, as demonstrated by Li Shande's shift towards an entrepreneurial mindset to solve the lychee delivery problem [23][25][28] - It describes how Li Shande formed a cross-functional team to tackle the project, embodying principles of agile development and iterative testing to find solutions [26][36][37] - The narrative concludes with the notion that success in such a rigid system is often not recognized or rewarded, as seen in Li Shande's experience after successfully delivering the lychees [40][44][56]

Core Viewpoint - The article discusses the challenges and implications of facial recognition technology in the AI era, particularly in relation to security vulnerabilities and the potential for identity theft due to advancements in AI-generated content [1][12]. Group 1: Facial Recognition Technology - Facial recognition is highlighted as a significant achievement in the AI era, but it faces challenges due to the inherent variability in human facial features over time [3][4]. - The technology must balance two opposing needs: increasing tolerance for variability to avoid missed identifications and tightening standards to prevent false identifications [3][9]. - The focus on improving recognition rates may lead to a compromise in security, as systems might prioritize performance metrics over accuracy [9][10]. Group 2: Security Concerns - There is a growing concern that facial recognition systems can be easily compromised, leading to unauthorized access and identity theft [12][14]. - The article suggests that internet platforms should implement stricter security measures and manual reviews when changing administrative permissions for popular accounts [12][13]. - AI companies are warned about the ongoing arms race between security measures and the capabilities of AI-generated content, which could exacerbate existing vulnerabilities [14].

Core Viewpoint - The phenomenon of "entrepreneur IP" is reaching its end by mid-2025, revealing that it is more a product of public sentiment than a sustainable business strategy [1][4]. Group 1: Entrepreneur IP and Public Sentiment - Several prominent figures associated with entrepreneur IP, such as Yu Donglai and Lei Jun, have become less vocal or have withdrawn from the public eye, indicating a shift in the landscape [3]. - The rise of entrepreneur IP was fueled by public emotions, which can fluctuate like tides, leading to periods of both inflation and deflation in emotional value [5][6]. - The overproduction and consumption of emotions in the commercial discourse have led to a cycle of "emotional inflation" in the Chinese business environment [9]. Group 2: Trust and Emotional Value - Entrepreneurs have become symbols of trust and brand representation, especially when other trust mechanisms fail [10][11]. - The public's desire is not necessarily to judge reliability but to select a figure they are willing to trust, which alleviates anxiety in chaotic times [14]. - Emotional expressions have transformed into a resource and a form of currency, leading to a situation where emotional value has been excessively leveraged [21][22]. Group 3: The Paradox of Entrepreneur IP - The concept of entrepreneur IP creates a paradox where initial authenticity leads to a loss of personal identity, as entrepreneurs must conform to public expectations [35]. - Entrepreneurs are often trapped in a "shell" of public expectations, limiting their ability to express their true selves [25][28]. - The belief that entrepreneurs can control social emotions for long-term profit is fundamentally flawed, as emotions are unpredictable and cannot be easily managed [36][39]. Group 4: The Shift Back to Business Fundamentals - The decline of entrepreneur IP signals a return to the essence of business, which should be based on structure, organization, product efficiency, and delivery rather than emotional manipulation [51][53]. - The message for aspiring entrepreneur IP figures is to avoid trying to control emotions, as success is often a matter of timing and positioning rather than direct influence [54][55].