当ChatGPT能在瞬间生成学术报告、Midjourney可依据需求绘制创意作品、智能助手能精准响应各类指令时，一个普遍的困惑开始在人群中蔓延：在AI能 提供几乎所有答案的时代，人类该拼什么？ 01 AI时代，如何高效吸收信息与知识？ 两种思维模式 《学会提问》将人类的思维划分为两种模式： 第一种是海绵式思维，其核心特点是被动吸收、全盘接受，简单来说就是"记"——划重点、抄笔记、背结论。 在AI的助力下，这种思维模式的"便利性"被推向了极致：无论是你需要的报告、方案，还是各类知识点，AI都能为你整理得妥妥当当。 然而，便利背后潜藏着巨大风险：你无法确定AI提供信息的来源是否可靠、逻辑是否存在漏洞，更无从知晓其中是否隐藏着隐性偏见。 拼提问能力。一个好问题，能解决问题的一大半。 第二种是淘金式思维，它以主动筛选为核心，强调带着问题去与信息对话，关键在于"问"——边阅读边质疑，边聆听边评估，如同在沙子里淘金一般，从 中筛选出具有核心价值的内容。 但并非简单地问"是什么"，而是带着批判性思维去追问"为什么""凭什么""还有没有别的可能"。 AI是答案的生产者，而提问则是答案的筛选器、优化器。今天这篇文章，我们就学习 ...

Core Idea - The article emphasizes the importance of asking good questions in an era where answers are easily accessible, suggesting that the ability to ask insightful questions is becoming increasingly rare and valuable [1][2]. Group 1: Importance of Good Questions - A good question can expand cognitive boundaries and reconstruct the problem itself, leading to deeper understanding and exploration [2][4]. - Socratic questioning focuses on the process of thinking itself, encouraging individuals to clarify concepts and develop effective personal thinking systems [3][5]. Group 2: Techniques for Asking Good Questions - The article outlines a method of self-questioning using the 5W1H framework (What, Why, When, Where, Who, How) to guide one's own thinking and generate good questions [6][12]. - Good questions should be inspired and reflect the questioner's thought process, making it easier for others to provide relevant answers [7][10]. Group 3: The Role of Wording in Questions - The way a question is phrased can significantly influence the type of answers received, highlighting the importance of careful wording [11][12]. - Simplifying questions can increase the likelihood of receiving useful answers and may even lead the questioner to discover solutions independently [14][15].

Group 1 - The core argument of the article is that in an era where answers are easily accessible, the value lies in asking the right questions, which can reshape understanding and drive creativity [1][4][19] - The invention of photography in the 1830s challenged traditional artistic standards, leading artists to focus on subjective experiences rather than mere replication of reality [3][10][11] - The emergence of large language models (LLMs) has made obtaining answers cheaper, but this has led to a decline in the quality of inquiry and an increase in the cost of asking good questions [15][17][26] Group 2 - The article emphasizes that the value of information is proportional to the uncertainty it eliminates, as illustrated by Claude Shannon's information theory [21][22][23] - It argues that in a world of information overload, the challenge is not the lack of facts but the misalignment of attention, leading to a focus on quantity over quality in answers [31][32][46] - The piece highlights the importance of redefining problems and frameworks to navigate structural uncertainties effectively, suggesting that good questions can expand the boundaries of understanding [37][38][39]