jsturgis

var mediaJSON = { "categories" : [ { "name" : "Movies",
        "videos" : [ 
		    { "description" : "Big Buck Bunny tells the story of a giant rabbit with a heart bigger than himself. When one sunny day three rodents rudely harass him, something snaps... and the rabbit ain't no bunny anymore! In the typical cartoon tradition he prepares the nasty rodents a comical revenge.\n\nLicensed under the Creative Commons Attribution license\nhttp://www.bigbuckbunny.org",
              "sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4" ],
              "subtitle" : "By Blender Foundation",
              "thumb" : "images/BigBuckBunny.jpg",
              "title" : "Big Buck Bunny"
            },
            { "description" : "The first Blender Open Movie from 2006",
              "sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ElephantsDream.mp4" ],

parmentf

Inspired by dannyfritz/commit-message-emoji

See also gitmoji.

Commit type	Emoji
Initial commit	🎉 :tada:
Version tag	🔖 :bookmark:
New feature	✨ :sparkles:
Bugfix	🐛 :bug:

jarvisluong

// This function converts the string to lowercase, then perform the conversion
function toLowerCaseNonAccentVietnamese(str) {
    str = str.toLowerCase();
//     We can also use this instead of from line 11 to line 17
//     str = str.replace(/\u00E0|\u00E1|\u1EA1|\u1EA3|\u00E3|\u00E2|\u1EA7|\u1EA5|\u1EAD|\u1EA9|\u1EAB|\u0103|\u1EB1|\u1EAF|\u1EB7|\u1EB3|\u1EB5/g, "a");
//     str = str.replace(/\u00E8|\u00E9|\u1EB9|\u1EBB|\u1EBD|\u00EA|\u1EC1|\u1EBF|\u1EC7|\u1EC3|\u1EC5/g, "e");
//     str = str.replace(/\u00EC|\u00ED|\u1ECB|\u1EC9|\u0129/g, "i");
//     str = str.replace(/\u00F2|\u00F3|\u1ECD|\u1ECF|\u00F5|\u00F4|\u1ED3|\u1ED1|\u1ED9|\u1ED5|\u1ED7|\u01A1|\u1EDD|\u1EDB|\u1EE3|\u1EDF|\u1EE1/g, "o");
//     str = str.replace(/\u00F9|\u00FA|\u1EE5|\u1EE7|\u0169|\u01B0|\u1EEB|\u1EE9|\u1EF1|\u1EED|\u1EEF/g, "u");
//     str = str.replace(/\u1EF3|\u00FD|\u1EF5|\u1EF7|\u1EF9/g, "y");

thesamesam

FAQ on the xz-utils backdoor (CVE-2024-3094)

This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.

Update: I've disabled comments as of 2025-01-26 to avoid everyone having notifications for something a year on if someone wants to suggest a correction. Folks are free to email to suggest corrections still, of course.

Background

Saadnajmi

import { Canvas, Circle, Group, Rect, Shader, Skia, useClock, RuntimeShader, SkRuntimeEffect, RoundedRect } from "@shopify/react-native-skia";
import { SafeAreaView, StyleSheet } from "react-native";
import { useDerivedValue, useSharedValue } from "react-native-reanimated";
import { Gesture, GestureDetector, GestureHandlerRootView } from 'react-native-gesture-handler';

const styles = StyleSheet.create({
  centered: {
      flex: 1,
      alignItems: 'center',
      justifyContent: 'center',

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.