yisibl

如何创建公钥

1. 首先启动一个Git Bash窗口（非Windows用户直接打开终端）

2. 执行：

   cd ~/.ssh

   如果返回“… No such file or directory”，说明没有生成过SSH Key，直接进入第4步。否则进入第3步备份!

banyudu

最近使用React渲染Markdown，进行了一些简单的探索，和大家分享下相关经验。

基本的Markdown能力

当下有许多成熟的Markdown库，如 marked、react-markdown等，这里我采用的是react-markdown。因其与React有更好的结合。

stonegao

深入理解以太坊

目标

• 理解以太坊的底层运行机制
  • 本文主要关注为什么这么做、基本原理、实现效果，2/8法则，花 20% 的精力掌握 80% 的内容
  • 细节实现会留 reference，如果想研究，建议用以下方式：1. 走一遍 demo，搞清楚所有的细节，例如 EVM 合约的执行流程；2. 自己实现一遍，比如 MPT、EVM，甚至整个以太坊客户端。
• 概览以太坊生态全景

DanielVF

Impact

CRITICAL! Almost all USDC liquidity on the REKT/USDC uniswap pool can be stolen, due to an authorization issue with burnFrom() on the REKT token.

Background

Uniswap v2 pools get the prices for their swaps by comparing the relative amounts of each of the two tokens that they hold. If the pool holds very little of token A, and a lot of token B, then it only takes a little of token A to buy a lot of token B.

Currently REKT and USDC are fairly priced in the pool. If there were to suddenly be very little REKT in the pool, but the same amount of USDC, then very little REKT would be able to buy a lot of USDC.

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.