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.

rauchg

#!/usr/bin/env bash
function p() {
	jq -n \
		--arg content "$*" \
		'{
      "model": "pplx-7b-online",
      "messages": [
        {
          "role": "system",
          "content": "Be precise and concise."

OliverJAsh

import * as React from 'react';

const useIsFirstRender = (): boolean => {
  const isFirst = React.useRef(true);

  if (isFirst.current) {
    isFirst.current = false;

    return true;
  } else {

AndrewIngram

"use client";

import { cache, unstable_postpone } from "react";
import { preload } from "react-dom";

const loadImage = cache((src: string) => {
  return new Promise<void>((resolve, reject) => {
    const img = new Image();
    img.src = src;

devongovett

// Turn all HTML <a> elements into client side router links, no special framework-specific <Link> component necessary!
// Example using the Next.js App Router.
import { useRouter } from 'next/navigation';
import { useEffect } from 'react';

function useLinkHandler() {
  let router = useRouter();

  useEffect(() => {
    let onClick = e => {

mattiaz9

import { decode } from "blurhash"

export function blurHashToDataURL(hash: string | undefined): string | undefined {
  if (!hash) return undefined

  const pixels = decode(hash, 32, 32)
  const dataURL = parsePixels(pixels, 32, 32)
  return dataURL
}

Purpzie

# https://github.com/dependabot/dependabot-core/issues/1736
name: Dependabot
on: pull_request_target
permissions: read-all
jobs:
  update-lockfile:
    runs-on: ubuntu-latest
    if: ${{ github.actor == 'dependabot[bot]' }}
    permissions:
      pull-requests: write

troelskn

function DK_TAX_PARSE_OPTIONS(opts) {
  var options = {
    hasChildren: true,           // Do you receive "børnepenge"?
    isFamily: true,              // Are you married (and your spouse without income)?
    interests: 44256,            // Deductible interests paid (typically on a mortgage)
    churchTax: 0.00867,          // Set your church tax rate here, if you are a member of the church. Otherwise set to 0.0
    municipalityTaxRate: 0.24926 // Find you tax rate here: https://www.skm.dk/skattetal/satser/kommuneskatter
  };
  var applyOption = function(key, value) {
    var key = key.trim();

ryanflorence

import React, { Component } from 'react'

class Bundle extends Component {
  state = {
    mod: null
  }

  componentWillMount() {
    this.load(this.props)
  }

DaBs

var str = 'class ಠ_ಠ extends Array {constructor(j = "a", ...c) {const q = (({u: e}) => {return { [`s${c}`]: Symbol(j) };})({});super(j, q, ...c);}}' + 
          'new Promise((f) => {const a = function* (){return "\u{20BB7}".match(/./u)[0].length === 2 || true;};for (let vre of a()) {' +
          'const [uw, as, he, re] = [new Set(), new WeakSet(), new Map(), new WeakMap()];break;}f(new Proxy({}, {get: (han, h) => h in han ? han[h] ' + 
          ': "42".repeat(0o10)}));}).then(bi => new ಠ_ಠ(bi.rd));';

try {
  eval(str);
} catch(e) {
  alert('Your browser does not support ES6!')
}