科学与数学gwern.net
语言主要是交流工具，而非思维工具（论文）
Language is primarily a tool for communication rather than thought [pdf]
2024 — 2025，它一次次回到首页
黑点是上首页（≥ 50 分）的那次投稿，空心点是没冲上去的投稿，点越大分数越高。
导读
这是 MIT 研究者 Fedorenko 等人 2024 年发表的论文，基于脑成像与行为证据论证：语言主要是一种交流工具，而非思考的媒介；大脑中负责语言的网络与负责推理、计划的网络是分离的。文章两度登上 Hacker News 首页，引发关于“人到底用什么思考”的广泛讨论。
为什么经久不衰：它挑战了“语言即思维”的直觉，且与每个人对自身内心体验的观察直接相关，加上与 LLM 时代的对照，使它持续引发讨论。
HN 评论精选
人们的内心思维方式差异巨大，却都默认别人和自己一样
每次想到这两个事实我都大为震撼：人们的思维方式差异极大，但每个人又都暗自以为别人和自己一样。我思考时几乎没有内心独白，所以自然觉得思考不太依赖语言；但很多人声称自己完全用语言思考，这在我看来不可思议，而他们也这么看我。更离谱的是，还有不少人在想词（比如回忆名字）时会把词“看”成文字。威斯康星大学有个附带小测验的研究，可以测出你到底有多“怪”。
benrutter查看英文原文
It absolutely melts my mind every time I come across the two facts that: - People experience their thoughts very differently - We all secretly believe that deep down, everyone experiences thought like we do. I've never really had a strong internal monologue when thinking, so my assumption would always be that of course, thinking isn't very linguistic (even if we can use it as a tool while thinking). It seems like there's a large number of people who experience their thought exclusively as language. That sounds absolutely nuts to me, but I've heard people say the exact same in reverse. Even more fringe is that there's a sizable number of people who when thinking about words (i.e. remembering names) visualize their words as text. What!? I can't imagine that anymore than I can imagine how a jellyfish feels? The University of Wisconsin did a cool study that comes with a fun quiz you can do to see just how much of a wierdo you truly are: https://uwmadison.co1.qualtrics.com/jfe/form/SV_3NMm9yyFsNioVhz
许多概念先于词语存在，语言只是给重要概念贴标签
我们思维流中的许多概念并没有对应的词或短语。词是当某个概念足够常见和重要时才被造出来用于交流的。人类已为大多数重要概念命名，但并非每种语言都覆盖同样的概念，比如日语的“積ん読”（买书不读堆着）、泰语的“น้ำใจ”（不求回报的善意）、中文的“关系”。这或许是支持本文论点的另一条证据。当然，语言对抽象思考非常有用，但并非人人以它为主要思考工具。这也解释了 LLM 的某些局限，如空间智能不足。
nopinsight查看英文原文
There are many concepts in our thought stream without a 'word' or even a simple 'phrase' to label them. A word or a common phrase is coined when a concept is sufficiently common and important enough such that someone comes up with a label to communicate the idea succinctly and the label catches on. We, humanity, have words or common phrases to label the vast majority of significant concepts. However, not every concept is accorded such importance in every language. Some common words in other languages without direct translation in English: * 積ん読 (Tsundoku) (Japanese): Buying books and never reading them, just letting them pile up. * น้ำใจ (Nam-jai) (Thai): Literally "water from the heart". Being very nice and helpful without expecting anything back. * 关系 (Guanxi) (Mandarin): Your network of connections that help you get stuff done in life and business. This is perhaps another line of evidence to support the thesis of the article. Make no mistake though: Language is extremely useful for some types of thoughts, especially more abstract ones. Not everyone, however, uses it as their primary tool for thinking. ----- The above also helps explain some limitations of LLMs, such as their inadequate spatial intelligence. Large Multimodal Models (LMMs) start to address these issues by using much more granular data than language alone.
双语者自述：思考发生在概念层，语言只是可选的序列化
我是双语者，总有人问我“用哪种语言思考”，但我并不用某种语言思考。我是在概念层面思考，脑中的声音有时会用英语或罗马尼亚语把概念“配”上词，但词并非必需。用开发术语说：我以结构体思考，然后可选地把它序列化成英/罗语的 JSON。
calini查看英文原文
I'm bilingual, people keep asking me what language I think 'in', and I don't think I think _in_ a language. For lack of a better way of describing it, I rather think in concepts, sometimes the voice in my head likes to play along by imagining the words representing those concepts, sometimes in English, sometimes in Romanian, but the words are not necessary. In dev words, I guess I think in structs and then optionally serialize those structs in En/Ro (JSON).
反方观点：小黄鸭调试等证据表明语言对思考不可或缺
我的看法：1）“小黄鸭调试法”和大量关于口头讲解的研究表明语言对思考至关重要——向物体讲述问题有助于找到解法，口头教别人能记得更牢，考试本身也能促进学习。2）记忆研究告诉我们外部锚点对记忆必不可少，语言（包括内心言语）正是这样一种外部载体；没有视觉、听觉或感官依托的思维更像转瞬即逝的念头，难以支撑复杂的思考。
justacomment100查看英文原文
My takes: 1. The existence of “rubber duck debugging”, and a whole bunch of studies on verbally explaining a concept indicate that language is essential for thought. In rubber duck debugging, programmers tell their problem to an object and this is beneficial in finding the solution. There are studies that show when we verbally teach material to someone we remember it better. Also the act of taking a test increases learning and memory, but why should this be if learning is secondary? 2. Everything we know about memory tells us that externality is essential for memorizing something. If there’s nothing visual, aural, or sensory then it is unlikely to be remembered. Language acts as an externality even as inner speech, meaning that thoughts can be said in language (ascribed onto the words) and remembered for short-term and long-term memory. A thought without externality seems more like a passing whim, unrooted in any more permanent mode of cognition and thus liable to be forgotten. I can imagine thinking in visuals, melodies, words, but if there is a kind of thought that isn’t occurring based off of these then it probably can’t be sophisticated.
以海伦·凯勒为例质疑语言并非思考的必要条件
海伦·凯勒难道不是反例吗？她似乎相当强烈地暗示，在习得语言之前，她主要依靠刺激和身体感知运作，而非更高层次的思考。
krackers查看英文原文
Doesn't hellen keller provide a counterexample? She seemed to imply pretty strongly that before acquisition of language she operated more on stimulus and bodily perception rather than higher-level thought.
历次讨论
同类还值得读
如果月球只有 1 像素：一个极其精确的太阳系模型（2014）
If the moon were only 1 pixel: A tediously accurate solar system model (2014)
一个网页版太阳系模型，以“如果月亮只有 1 像素”的真实比例呈现：你必须一路横向滚动，才能体会行星之间空旷到何等程度。
科学与数学上首页 7 次 · 2014–2025joshworth.com编辑精选沉浸式线性代数（2016）
Immersive Linear Algebra (2016)
《Immersive Linear Algebra》是一本完全免费、开放在线的线性代数“超文本教科书”，其最大特色是大量可交互的图形：读者可以直接拖动、操作图中的向量、矩阵和变换…
科学与数学上首页 5 次 · 2015–2024immersivemath.com编辑精选如何将贝果切成两个相连的半环（2009）
How to Slice a Bagel into Two Linked Halves (2009)
数学家 George Hart 的经典教程，演示如何用一刀把贝果切成两个相互扣住的环，并附上切割步骤与数学原理。
科学与数学上首页 5 次 · 2009–2022georgehart.com“犹太问题”：一组用于歧视的数学题
Jewish problems
一篇 arXiv 论文，整理并讨论苏联时期犹太学生在申请大学数学系时被问到的特殊数学难题：这些题往往有简单解法却极难想到，被用作面试中拒绝犹太考生的手段。
科学与数学上首页 5 次 · 2011–2021arxiv.org你的身体并非为长久而造：人类死亡率数据的一课
Your body wasn’t built to last: a lesson from human mortality rates
文章从人类死亡率随年龄变化的统计规律出发，解释身体并非为长久使用而设计：年轻时死亡风险较低，之后随年龄近似指数上升，像复杂系统在不断累积损伤。
科学与数学上首页 5 次 · 2009–2018gravityandlevity.wordpress.com