[图片来源：Win Naing/Unsplash] 作为一名慈善拍卖师，我在世界各地的舞台上工作了20多年。即使在我职业生涯的最初几年，工作也让我接触到了行业巨头和商界最高层的人。但随着职业 经验越来越丰富，我总是有一个想法：我为什么会在这里？这里每个人都比我懂得多。 我计划分享的任何评论或想法都停留在想法阶段，因为当我开口说话时，会担心露怯，担心大家会发现我本不该坐在这个位置上。一开始，这种让我无法说 话的感觉一直伴随着我的职业生涯，这种感觉阻止了我举手要求升职、加薪或提出其他要求。这让我觉得自己不应该坐在会议室里，甚至不该靠近那栋大 楼。 过去二十年间，在与职场走上领导岗位的女性交谈过程中，我经常听到"冒名顶替综合征"，这是一种让许多人，尤其是女性，止步不前的感觉。 攀登职业阶梯时，无论你多么值得获得新的头衔、加薪或新职位，你可能永远不会真正相信自己值得拥有这些。环顾四周，看到同龄人时，内心有个声音告 诉你，你能坐在那个房间里太幸运了。听起来是不是很熟悉？ 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：职场中的"冒名顶替综合症"会阻碍我们前进 ...

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：越有能力的人，越容易质疑自己的能力。不自信不可怕，质疑自己也不要紧，要知道，最成功的人并不是那些从不怀疑自己的人，而是那些学会了 在怀疑中前进的人。本文来自编译，希望对您有所启发。 "我不是作家。我一直在欺骗自己和他人。"这句话出自1962年诺贝尔文学奖得主约翰·斯坦贝克的日记。 这种智力上的自我怀疑在高成就者中很常见。他们越聪明，似乎就越会质疑自己的能力。 为什么那些最有能力的人往往也是最怀疑自己的人？为什么智力成就不能转化为智力自信？ 1. 为什么聪明人会怀疑自己的能力 在我任职谷歌期间，始终觉得有人会发现我不配在那里工作。周围的人似乎都比我聪明得多。有一天，我发现了一个名为"冒名顶替者" （The Impostors）的 内部群组，里面都是同事们的匿名帖子，他们也都有同样的恐惧。得知自己并非唯一有此感受的人，竟让我感到一丝宽慰。 这一经历捕捉到了智力自我怀疑的本质，即有能力的人会质疑自己的能力。这常与冒名顶替综合征相关联，即尽管有明确证据证明自己的能力，但仍担心被 揭穿是骗子。1978年，心理学 ...

Group 1 - The article emphasizes the importance of managing anxiety to enhance personal performance and creativity in the workplace, leading to better leadership and innovation [1][26] - It discusses the prevalence of "thought traps" among successful individuals, which can hinder effective communication and decision-making [3][4] - The article suggests that understanding and identifying these thought traps is crucial for overcoming them and improving overall well-being [4][5] Group 2 - The article outlines 11 specific thought traps that can negatively impact individuals in their professional lives, including black-and-white thinking, labeling, and emotional reasoning [5][6][18] - It provides strategies for avoiding these traps, such as practicing self-compassion, recognizing absurdities in negative thoughts, and engaging in physical activity [20][22][23] - The author highlights the potential for anxiety to be transformed into a leadership advantage when properly understood and managed [21][26]

Core Insights - The article discusses the harsh realities and survival wisdom in the corporate world, emphasizing the importance of understanding internal dynamics and employee morale for organizational success [1][6]. Group 1: Employee Morale and Leadership - High employee morale is crucial for a company's success; low morale can lead to mediocrity and loss of talent [7]. - Good character is prioritized over exceptional talent in hiring; companies should choose competent and loyal employees over highly talented but problematic individuals [8]. - The Peter Principle applies to many employees, where individuals are promoted to positions they cannot handle, highlighting the need for continuous learning and humility [9]. Group 2: Organizational Dynamics - Job titles do not define responsibilities; personal abilities and company culture shape expectations and opportunities [11]. - Internal alliances can significantly influence power dynamics within a company, making it difficult to discern allies from adversaries [12]. - Sales and finance hold the real power in decision-making processes, often overshadowing other departments [14]. Group 3: Compensation and Performance Evaluation - Salary budgets are often insufficient, leading to dissatisfaction among employees due to limited raises [15]. - Performance evaluations are subjective and can be influenced by non-performance factors, complicating the assessment process [16][17]. - HR departments ultimately serve the interests of the CEO, and their loyalty may not align with that of individual employees [20][21]. Group 4: Loyalty and Career Choices - Loyalty to a company may not guarantee reciprocal support during tough times; employees can be discarded regardless of their dedication [26]. - Employees with strong skills and work ethic have more career options than they realize, and complacency can hinder career advancement [24][25].

Group 1 - The core idea is that coding for artificial intelligence (AI) is becoming as essential as reading and writing, with the potential to enrich lives through data utilization [1][2] - AI and data science can provide significant value across various professions, making AI-oriented coding skills more valuable than traditional coding [2][3] - The rapid rise of AI has led to an increase in job opportunities, emphasizing the importance of foundational skills, project work, and job searching in career development [3][4][6] Group 2 - Learning foundational skills in AI is a continuous process, with a focus on understanding key concepts in machine learning and deep learning [7][8] - Mathematics is crucial for AI roles, with an emphasis on linear algebra, probability, statistics, and exploratory data analysis [8][11] - Building a portfolio of projects that demonstrate skill progression is essential for career advancement in AI [24][26] Group 3 - The job search process in AI involves predictable steps, including researching roles, conducting informational interviews, and applying for positions [27][36] - Networking and building a supportive community are vital for career growth in the AI field [43][48] - The importance of continuous learning and adapting to new technologies is highlighted as a key to success in AI careers [10][41]