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.

Vendicated

Nightcord is actually malware

Version 1.18.2 of Nightcord contained a TokenLogger

Never lose your Discord token ever again, thanks to Nightcord's ✨ PREMIUM SYNC ✨ services! This code found in v1.18.2 uploads your Discord token to Nightcord's Server.

Details

How to verify this is real

ChrisJohns-me

function myNameIs() {
	// Bene dict Cumber batch
	var firstList = ['Benediction', 'Brainfart', 'Beneful', 'Blogzilla', 'Gentledick',
	'Bumblebee', 'Bandersnatch', 'Broccoli', 'Rinkydink', 'Bombadil', 'Boilerdang',
	'Bandicoot', 'Fragglerock', 'Muffintop', 'Congleton', 'Blubberdick', 'Buffalo',
	'Benadryl', 'Butterfree', 'Burberry', 'Whippersnatch', 'Buttermilk', 'Beezlebub',
	'Budapest', 'Boilerdang', 'Blubberwhale', 'Bumberstump', 'Bulbasaur', 'Cogglesnatch',
	'Liverswort', 'Bodybuild', 'Johnnycash', 'Bendydick', 'Burgerking', 'Bonaparte',
	'Bunsenburner', 'Billiardball', 'Bukkake', 'Baseballmitt', 'Blubberbutt', 'Baseballbat',
	'Rumblesack', 'Barister', 'Danglerack', 'Rinkydink', 'Bombadil', 'Honkytonk',

flaviatfcorrea

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.

michaellihs

tmux Cheat Sheet

Table of Contents

• General Usage
• Shortcuts
• Commands
• Scripting tmux
• Configuring tmux

Kyriakos-Georgiopoulos

/*
 * Copyright 2026 Kyriakos Georgiopoulos
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software

rosco-pc

Unifi AP useful commands

using SSH:

• log in to AP: $ ssh ubnt@<IP>
• default username & password: ubnt & ubnt

---

Generic

Command	Example	Function

jscott3201

{#---------------------------------------------------------------------
   custom_pub_chat_template_gemma4.jinja
   =====================================
   A public, harness-friendly fork of Google's Gemma 4 chat template,
   tuned for open-source agentic coding harnesses like:
     - anomalyco/opencode      (https://github.com/anomalyco/opencode)
     - earendil-works/pi       (https://github.com/earendil-works/pi)
     - openclaw, OpenHarness,  similar Claude-Code-style harnesses

   WHY THIS FORK EXISTS