过去十年里,我每天都会阅读 Hacker News 两次。这是我精选的 S 级 Hacker News 链接列表。
13 分•作者: vivzkestrel•大约 9 小时前
- 我多年来一直保持着每天早晚各阅读 HN(Hacker News)两页的习惯。
- 最近我注意到,前两页的内容大多是关于“AI 这个”、“AI 那个”、“LLM 这个”、“LLM 那个”、“模型在这里”、“模型在那里”。
- 今天,我将尝试打破这种趋势,分享我过去十年间从 50000 多个收藏的书签中精选出的 HN 上最棒的资源。
- 我有一个自己的收藏书签的流程。
- 最具视觉化解释的内容会获得 S 级排名。
- 来自知名来源的优质信息获得 A 级,非知名来源获得 B 级。
- 观点博客垫底,可能根据质量评为 C、D、E 甚至 F 级。
- 这是我的 S 级列表:
- Transformer 工作原理的动画解释 https://poloclub.github.io/transformer-explainer/
- K-means 聚类算法的视觉入门 https://k-means-explorable.vercel.app/
- Vision LLM 的动画 3D 入门 https://blog.mdturp.ch/posts/2024-04-05-visual_guide_to_vision_transformer.html
- 机器学习的动画入门 https://r2d3.us/visual-intro-to-machine-learning-part-1/
- 数学中概率的动画入门 https://seeing-theory.brown.edu/basic-probability/index.html
- 逐步动画方式从零开始构建 3D 世界 https://aibodh.com/posts/bevy-tutorial-build-your-first-3d-editor-in-rust/
- 可视化算法 https://algorithm-visualizer.org/
- 请求从浏览器到服务器的逐步动画序列 https://200ms.thenodebook.com/#act-1-the-click
- 内燃机工作原理的视觉入门 https://ciechanow.ski/internal-combustion-engine/
- 3D 实时机器人代码模拟器 https://bittlex-sim.petoi.com/
- 动画解释:椭圆曲线密码学 https://growingswe.com/blog/elliptic-curve-cryptography
- 速率限制算法可视化 https://smudge.ai/blog/ratelimit-algorithms
- 图形渲染管线的视觉入门!https://fremaconsulting.ch/blog/vulkan
- 如何从零开始构建 ReactJS 的动画解释!https://pomb.us/build-your-own-react/
- 小游戏:如何从基本门电路开始构建整个 CPU https://select.supply/game/chipbuilder
- 从零开始组装神经网络 https://graphgame.sabrina.dev/
- 3D 可视化:重力如何工作 https://qunabu.github.io/Gravity/#what-is-gravity
- 小游戏:CSS Grid 如何工作 https://cssgridgarden.com/
- 线性代数、向量等的动画数学书 https://immersivemath.com/ila/index.html
- 动画解释:FAISS 向量搜索如何工作 https://fremaconsulting.ch/blog/faiss
- 从零开始构建健康可穿戴设备的 3D 动画 https://www.lumafield.com/scan-of-the-month/health-wearables
- 半导体制造工作原理的 3D 动画 https://ig.ft.com/microchips/
- 小游戏:Git 如何工作 https://learngitbranching.js.org/
- 小游戏:从零开始学习 SQL https://sqlpd.com/
- 另一个小游戏:SQL https://lost-at-sql.therobinlord.com/
- 展示颜色、屏幕、图形、渲染、着色器、编译器、解释器如何工作的动画解释 https://www.makingsoftware.com/
- 动画解释展示了网络 7 层模型如何从内到外工作 https://fazamhd.com/mental-models/networking/
- 线性与逻辑回归、神经网络、机器学习的动画解释 https://mlu-explain.github.io/
- 碰撞检测、着色器、渲染、剔除和游戏开发相关内容的 3D 解释 https://krupitskas.com/posts/modern_culling_techniques/
- 身体所有运动的 3D 动画和解释 https://musclewiki.com/
- 小游戏:从零开始构建英伟达 GPU https://jaso1024.com/mvidia/
- 神经网络前向与后向传播的动画解释 https://aegeorge42.github.io/
- 还有很多很多,今天我有点打字累了。
- 总之,受够了那些充斥首页的 AI 观点文章,HN,看招!
查看原文
- Everyday I read 2 pages of HN in the morning and 2 in the evening for years now<p>- Of late, I noticed that most of the stuff on the 1st 2 pages is AI this, AI that, LLM this, LLM that, model here, model there<p>- Today I am going to attempt to break that trend by sharing the greatest resources on HN from my collection of 50000+ bookmarks over the last decade<p>- I have a process on my end for bookmarking<p>- The most visual explainers get S-Tier ranking<p>- Good info from reputed sources gets an A, non reputed gets B<p>- Opinion blogs are at the bottom of the barrel and maybe ranked C, D, E and even F depending on quality<p>- Here's my S-Tier list<p>- Animated explanation of how transformers work https://poloclub.github.io/transformer-explainer/<p>- Visual intro to K-means clustering algorithm https://k-means-explorable.vercel.app/<p>- Animated 3D intro to vision LLMs https://blog.mdturp.ch/posts/2024-04-05-visual_guide_to_vision_transformer.html<p>- Animated intro to machine learning https://r2d3.us/visual-intro-to-machine-learning-part-1/<p>- Animated intro to probability in math https://seeing-theory.brown.edu/basic-probability/index.html<p>- Building a 3D world from scratch in step by step animated manner https://aibodh.com/posts/bevy-tutorial-build-your-first-3d-editor-in-rust/<p>- Visualize algorithms https://algorithm-visualizer.org/<p>- Animated step by step sequence of how a request goes from your browser to the server https://200ms.thenodebook.com/#act-1-the-click<p>- Visual intro to the inner workings of a combustion engine https://ciechanow.ski/internal-combustion-engine/<p>- 3D real time robotics code simulator https://bittlex-sim.petoi.com/<p>- Animated explainer: Elliptic curve cryptography https://growingswe.com/blog/elliptic-curve-cryptography<p>- Rate limiting algorithms visualized https://smudge.ai/blog/ratelimit-algorithms<p>- Visual intro to the graphics pipeline! https://fremaconsulting.ch/blog/vulkan<p>- Animated explanation of how to build ReactJS from scratch! https://pomb.us/build-your-own-react/<p>- Mini game: How to build an entire CPU starting from a basic gate https://select.supply/game/chipbuilder<p>- Assemble a neural network from scratch https://graphgame.sabrina.dev/<p>- 3D visualization: how gravity works https://qunabu.github.io/Gravity/#what-is-gravity<p>- Mini game: how css grid works https://cssgridgarden.com/<p>- Animated math book for linear algebra, vectors etc https://immersivemath.com/ila/index.html<p>- Animated explainer: How FAISS vector search works https://fremaconsulting.ch/blog/faiss<p>- 3D animation of how to build a health wearable from scratch https://www.lumafield.com/scan-of-the-month/health-wearables<p>- 3D animation of how semiconductor manufacturing works https://ig.ft.com/microchips/<p>- Mini game: how git works https://learngitbranching.js.org/<p>- Mini game: SQL from scratch https://sqlpd.com/<p>- Another mini game: SQL https://lost-at-sql.therobinlord.com/<p>- Animated explainers showing how colors, screens, graphics, rendering, shaders, compilers, interpreters work https://www.makingsoftware.com/<p>- Animated explainer shows how networking 7 layer stack works inside out https://fazamhd.com/mental-models/networking/<p>- Animated explainers for linear & logistic regression, neural networks, machine learning https://mlu-explain.github.io/<p>- 3D explanation of collision detection, shaders, rendering, culling and gamedev related stuff https://krupitskas.com/posts/modern_culling_techniques/<p>- 3D animation and explanation of every exercise on the body https://musclewiki.com/<p>- Mini game: build an nvidia gpu from scratch https://jaso1024.com/mvidia/<p>- Animated explanation of forward & back propagation of neural networks https://aegeorge42.github.io/<p>- There are many many many more, I am getting a little tired of typing for today<p>- Anyways enough of those AI opinion posts flooding the front page, take that HN!