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.

LucasOe

/* https://help.obsidian.md/callouts#Customize%20callouts */

/* Colors */
.callout[data-callout-metadata="red"] {
    --callout-color: rgb(var(--color-red-rgb));
}
.callout[data-callout-metadata="blue"] {
    --callout-color: rgb(var(--color-blue-rgb));
}
.callout[data-callout-metadata="purple"] {

codeslord

#!/usr/bin/env python3
"""
Script to automatically removes the references section, square bracket references, 
and the perplexity image from perplexity markdown export.

Examples:
  # Process a single file (creates backup)
  python perplexity_markdown_cleaner.py file.md
  
  # Process a single file without backup

markjaquith

<?php
/*
Plugin Name: Disable plugins when doing local dev
Description: If the WP_LOCAL_DEV constant is true, disables plugins that you specify
Version: 0.1
License: GPL version 2 or any later version
Author: Mark Jaquith
Author URI: http://coveredwebservices.com/
*/