
Through the lens of manifold covers, we open a mathematical window into neural networks. At its core lies something unexpectedly simple: inequality, integration, and differentiation.
| Platform | Pricing | Only free issues | Publishes | Daily | |
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| Issues | 140 | Founded | 2 years ago | Last Issue | 7 days ago |
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English Edition: The Comedy of Neural Learning
阻碍理论与 Kan 扩张
阻碍理论从一个相当谦逊的问题开始:这个局部的、弱的、不完整的,或从别处搬运过来的结构,能不能被提升成某种完整、严格、全局而且体面的东西?然后,数学会给出它一贯令人安心的回答:也许可以——前提是我们先准确找出它为什么根本做不到。所谓阻碍,就是对失败的正式记录。某个东西无法延拓,某个图就是不肯交换,某个在局部看起来完全无害的结构,一...
Chinese Edition: 神经学习的喜剧
Obstruction Theory and Kan Extension
Obstruction theory begins with a modest question: can this partial, weak, local, or transported structure be lifted into something complete, stric...
Chinese Edition: 推理的误区
Human reasoning has been classified into familiar forms such as deduction, induction, analogy, causality, and intuition. But an LLM is not required to follow these cate...
English Edition: The Myth of Reasoning
人类推理通常被划分为演绎、归纳、类比、因果和直觉等熟悉的形式。但大语言模型在内部并不必然遵循这些类别。在预训练过程中,它可能形成许多人类无法识别、甚至尚不知道如何描述的计算路径。当这些路径产生有用答案时,我们往往只能在事后将其解释为捷径、直觉、模式识别或潜意识式推理,因为我们缺乏更准确的语言来描述其中实际发生了什么。
Click the image to vie...
English Edition: Single Token Geometry 07: Attention
Transformer 注意力常常被描述成一种相似性机制。一个单标产生 Query,与其他单标的 Key 进行比较,然后利用这个结果决定信息应该流向哪里。在这种解释中,注意力听起来几乎像一个干净的几何操作:一个单标提出问题,另一个单标提供匹配,最高的分数就代表最强的关系。
但这种解释隐藏了一个基本的坐标问题。Query、Key 和 Value...
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Through the lens of manifold covers, we open a mathematical window into neural networks. At its core lies something unexpectedly simple: inequality, integration, and differentiation.
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