关于思考的思考
Thoughts on thinking

原始链接: https://dcurt.is/thinking

2025年5月,我发现自己被AI的能力所瘫痪。创作的喜悦消失了;我的原创作品与AI的输出相比显得苍白无力。我曾经丰富的写作和思考过程,曾经依靠外部肯定和反复修改而蓬勃发展,如今却萎缩了。现在,一个简单的提示就能产生完整的思想,绕过了至关重要的智力探索过程。 起初我将AI视为智力的放大器,但我意识到它更像是智力的镇静剂。提示和阅读AI的输出感觉像是被动的消费,缺乏独立发展思想的严谨性和成长性。我拥有的知识比以往任何时候都多,但却感觉自己不那么聪明了,因为AI提供了完美的结论,却没有从思考的挣扎中获得的学习过程。 AI提供的答案并没有转化为真正的理解或新的知识。尽管使用AI很容易,但我渴望那些促进智力成长的挑战。写这篇文章,没有借助任何AI,这感觉意义重大,即使我知道AI可以做得更好。在日益被人工智能主导的世界里,这种原始的人类连接,即使不完美,也具有价值。

Hacker News 的讨论线程关注了人工智能对人类思维和创造力的影响。一些用户担心,人工智能可能导致智力萎缩和原创思想的衰退,因为它能够快速生成经过推理和研究的输出,这可能会取代深度思考和解决问题的需求。他们担心未来人工智能生成的內容会掩盖人类的创作,降低个人表达的价值和满足感。 然而,另一些人认为,人工智能可以成为提高创造力和生产力的工具,让人们从重复性任务中解放出来,从而专注于更高层次的思考。他们建议将人工智能作为助手或头脑风暴伙伴,同时保持对整体创作过程的控制。一些人强调关注“手段”而非仅仅关注“目的”的重要性,在创作本身的行为中找到价值。讨论还涉及到在人工智能驱动的世界中对人类贡献进行认可和给予信用,以及人工智能可能加剧现有社会问题(如懒惰和缺乏好奇心)的可能性。

原文

I have been stuck. Every time I sit down to write a blog post, code a feature, or start a project, I come to the same realization: in the context of AI, what I’m doing is a waste of time. It’s horrifying. The fun has been sucked out of the process of creation because nothing I make organically can compete with what AI already produces—or soon will. All of my original thoughts feel like early drafts of better, more complete thoughts that simply haven’t yet formed inside an LLM.

I used to write prolifically. I’d have ideas, write them down, massage them slowly and carefully into cohesive pieces of work over time, and then–when they were ready–share them with the world. I’d obsess for hours before sharing anything, working through the strengths and weaknesses of my thinking. Early in my career, that process brought a lot of external validation. And because I think when I write, and writing is how I form opinions and work through holes in my arguments, my writing would lead to more and better thoughts over time. Thinking is compounding–the more you think, the better your thoughts become.

But now, when my brain spontaneously forms a tiny sliver of a potentially interesting concept or idea, I can just shove a few sloppy words into a prompt and almost instantly get a fully reasoned, researched, and completed thought. Minimal organic thinking required. This has had a dramatic and profound effect on my brain. My thinking systems have atrophied, and I can feel it–I can sense my slightly diminishing intuition, cleverness, and rigor. And because AI can so easily flesh out ideas, I feel less inclined to share my thoughts–no matter how developed.

I thought I was using AI in an incredibly positive and healthy way, as a bicycle for my mind and a way to vastly increase my thinking capacity. But LLMs are insidious–using them to explore ideas feels like work, but it’s not real work. Developing a prompt is like scrolling Netflix, and reading the output is like watching a TV show. Intellectual rigor comes from the journey: the dead ends, the uncertainty, and the internal debate. Skip that, and you might still get the insight–but you’ll have lost the infrastructure for meaningful understanding. Learning by reading LLM output is cheap. Real exercise for your mind comes from building the output yourself.

The irony is that I now know more than I ever would have before AI. But I feel slightly dumber. A bit more dull. LLMs give me finished thoughts, polished and convincing, but none of the intellectual growth that comes from developing them myself. The output from AI answers questions. It teaches me facts. But it doesn’t really help me know anything new.

While using AI feels like a superhuman brain augmentation, when I look back on the past couple of years and think about how I explore new thoughts and ideas today, it looks a lot like sedation instead.

And I’m still stuck. But at least I’m here, writing this, and conveying my raw thoughts directly into your brain. And that means something, I think, even though an AI could probably have written this post far more quickly, eloquently, and concisely. It’s horrifying.


This post was written entirely by a human, with no assistance from AI. (Other than spell- and grammar-checking.)

 

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