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这个少见的思维方式,让你脱胎换骨般成长
3 6 Ke· 2025-11-07 00:28
我想先请你思考一个场景: 这样一来,哪怕不能立刻把问题解决掉,也能有效地遏制它的成长,让它不至于演变成大问题。自然也 就不会累积起来了。 甚至,你可能还会想得更远一点:现在看起来风平浪静,但平静之下有没有可能潜藏着什么隐形的危 险?我能否提前做点什么,来降低遇到坏事的可能性、提高发生好事的概率? 生活中,当一个问题出现,打破你正常的生活轨迹和状态时,你下意识的第一反应是什么? 是「怎么又来了新问题,好麻烦,我先拖一拖,等拖不下去了再去做吧」; 还是「我要尽快把这个问题扼杀于摇篮之中,这样我才能腾出时间做更重要的事情」? 很多人可能会选择前者。但这样一来,你会发现:绝大多数问题都不会自己消失,只会随着时间推移变 得越来越严重。可能刚开始只需要花 1 分力气去处理,等过了一段时间,就需要花 2 分、3 分的力气才 能解决。 并且,旧的问题没有解决,新的问题又会产生。等到拖无可拖的时候,就会一个接一个地引爆。从而严 重地打乱你的生活节奏,让你不得不疲于奔走地救火,把它们扑灭。 所以,在我们看来,好运似乎都容易眷顾主动的人。其实并不是这样,而是因为他们更主动地干预和拥 抱生命,把自己放进好运的池子里,那么生命也会给他 ...
小心,你的思考力可能正在被AI“外包”
3 6 Ke· 2025-08-25 01:35
Core Viewpoint - The integration of AI into daily life enhances efficiency but may lead to passive thinking, which can hinder innovation and critical thinking skills [1][2][3] Group 1: Impact of AI on Thinking - AI tools can streamline tasks like product naming, but reliance on them may reduce deep thinking about brand identity and user perception [2] - The nature of generative AI focuses on predicting favorable outcomes based on human feedback, which can limit exposure to diverse perspectives and critical analysis [2][3] - Over-dependence on AI for data analysis may lead to a decline in intuitive decision-making and understanding of complex human dynamics [3] Group 2: Strategies for Active Thinking - Clearly define core problems and objectives before using AI, ensuring that AI serves the user's goals rather than dictating them [4] - Maintain a habit of questioning AI outputs to foster critical thinking and validate information sources [4][5] - Actively seek diverse viewpoints and knowledge beyond algorithmic recommendations to avoid intellectual confinement [3][4] Group 3: Enhancing Decision-Making Processes - Emphasize the importance of the thought process over mere results by allocating time saved through AI to deeper analytical tasks [5] - Implement a "thinking-validation" cycle where initial ideas are formed independently before consulting AI for verification and enhancement [16] - Regularly review information sources to eliminate biases and enhance the quality of input, while also designating "no AI" periods for deep reflection [16][17]