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：顶级骗子不怕对视。与其盯着微表情，不如利用"认知负荷"制造信息过载，让对方的大脑因系 统崩溃而现形。文章来自编译。 我见过最厉害的骗子，看起来一点都不像骗子。他不局促，也不回避视线。他站在我面前，直勾勾地盯 着我的眼睛，然后泣不成声。 我说的可不是掉一两滴眼泪，而是那种涕泗横流、近乎崩溃的痛哭。他看起来既恐惧，甚至还带着几分 心碎。 我竟然信了。我记得当时还觉得他挺可怜，心想："这家伙只是需要个改过自新的机会。"那时我还是个 新手警察，那只是一次简单的交通拦截——但他身上其实带了毒品。 两天后，我才发现他报的是他哥哥的身份。他表现出的那种冷静算计，彻底改变了我此后与人交往的方 式。 那个被我放走的小伙子当时还不满20岁，却已经被逮捕过十几次了。十二年后，他犯下了一起双重谋杀 案——那是我见过的最惨绝人寰的罪行之一。 我之所以没看穿谎言，并不是因为我蠢，而是因为我在寻找人性，而他却在演戏。我上当了。 从那天起，我不再盯着对方是否"紧张"，而是开始观察其"认知负荷"。你可以把认知负荷想象成处理信 息所需 ...

Core Insights - The article discusses the inherent resistance of the brain to deep thinking and complex cognitive tasks, suggesting that this is not laziness but a fundamental cognitive strategy driven by the brain's perception of effort versus reward [1][4][18]. Group 1: Historical Context and Theoretical Foundations - R. H. Waters' research in the 1930s established that organisms tend to choose the least cognitively demanding paths, even when more effortful methods could lead to deeper understanding [1][3]. - Modern cognitive science has built upon Waters' ideas, introducing concepts like "cognitive load" and "deep thinking" to explain why the brain prefers simpler tasks [3][4]. Group 2: Cognitive Effort and Its Costs - Cognitive effort is perceived as costly due to the limited resources available for controlled thinking, leading to opportunity costs when these resources are allocated to one task over another [10][11]. - The subjective experience of effort is heightened when tasks require maintaining unstable representations or frequent updates to beliefs, which can lead to cognitive overload [23][24]. Group 3: Theories Explaining Cognitive Effort - Three theories explain why cognitive effort feels costly: 1. Cognitive bottlenecks and opportunity costs highlight the limitations of cognitive resources and the trade-offs involved in task allocation [10][11]. 2. Information theory suggests that each cognitive update incurs an energy cost, with larger updates requiring more energy [13][14]. 3. Network control theory posits that some brain states are inherently difficult to reach and maintain, necessitating significant control energy [15][16]. Group 4: Implications for Learning and Teaching - The article emphasizes that understanding cognitive effort can inform better educational practices, suggesting that tasks should be designed to make progress visible to learners, thereby reducing the perceived cost of effort [20][21][24]. - Poorly designed tasks can lead to feelings of wasted effort, while well-structured tasks can enhance the perception of progress and make cognitive effort feel more worthwhile [21][24].

Core Insights - The article discusses the emergence of "Vibe Coding," a new programming paradigm that allows developers to generate code rapidly through AI tools, shifting the focus from traditional coding practices to a more intuitive, director-like approach [3][5]. Group 1: Vibe Coding Overview - Vibe Coding has become a buzzword in 2025, defined by Andrej Karpathy as a method where programming no longer requires line-by-line coding but instead involves directing AI tools like Claude or Cursor [3]. - This approach allows for the rapid generation of code, likened to a waterfall effect, where the right "vibe" leads to the effortless production of extensive code [5]. Group 2: Cognitive Load and Fatigue - Experienced developers, such as Stephan Schmidt, report a new type of fatigue associated with Vibe Coding, characterized by a feeling of mental exhaustion rather than physical strain [6]. - The traditional coding process allowed for a slower pace, giving developers time to process information and build mental models, which is disrupted by the fast-paced nature of Vibe Coding [10]. - The rapid coding cycle in Vibe Coding leads to cognitive overload, as developers must constantly switch contexts and understand multiple code modules simultaneously, resulting in confusion and mental fatigue [12][14]. Group 3: Implications for Developers - Developers are now required to act as overseers of AI-generated code, needing to monitor and ensure the quality of outputs, which adds to their cognitive burden [12][15]. - The pressure of making quick decisions and managing multiple tasks simultaneously creates a phenomenon termed "implicit fatigue," where the brain is continuously engaged without physical activity [14]. - The article suggests that while tools are meant to enhance human creativity, they can also lead to anxiety and a loss of rhythm in the development process [17]. Group 4: Recommendations for Managing Vibe Coding - Developers are encouraged to consciously control their pace and not be rushed by AI's speed, taking time to understand AI-generated outputs [18]. - Manual reviews of AI-generated content are recommended to help rebuild mental models and achieve cognitive alignment with AI [18]. - Setting clear directions and allowing AI to generate code without micromanagement can help avoid rework and improve efficiency [18].

Core Insights - The article emphasizes the importance of effective communication and questioning techniques to uncover the truth in professional settings, particularly in situations involving career advancement and project participation [2][11]. Group 1: Importance of Preparation - Prior preparation is crucial before engaging in potentially confrontational conversations, as it increases the likelihood of successfully uncovering the truth [3]. - Gathering relevant information and feedback from colleagues can enhance one's understanding of their contributions and the expectations for advancement [3]. Group 2: Establishing Trust and Rapport - Creating a foundation of trust and honesty at the beginning of a conversation is essential for encouraging open communication [4]. - Using a friendly tone and expressing empathy can help build rapport, making the other party more willing to share information [5]. Group 3: Effective Questioning Techniques - Direct questions, particularly "hypothetical direct questions," are more likely to elicit honest responses compared to general inquiries [6][7]. - Increasing the cognitive load on the respondent by asking questions that require detailed responses can make it harder for them to deceive [8]. Group 4: Application in Real Scenarios - The case of Marshall illustrates how thorough preparation and effective questioning led to constructive feedback from Chloe, allowing him to understand the reasons for not being selected for a project [9][10].