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.

beneater

  .org $8000
  .org $ff00

XAML  = $24                            ; Last "opened" location Low
XAMH  = $25                            ; Last "opened" location High
STL   = $26                            ; Store address Low
STH   = $27                            ; Store address High
L     = $28                            ; Hex value parsing Low
H     = $29                            ; Hex value parsing High
YSAV  = $2A                            ; Used to see if hex value is given

cwillmor

// ell clock https://twitter.com/cwillmore/status/1353435612636803073
// developed with processing 3.5.4 (processing.org)
// TODO:
// - motion blur
// - ripple update of ells - one only starts rotating when it has room to (<< ... <> ... >>)

static final int DEPTH = 3;
static final int N = 1 << (DEPTH + 1);
static final int FRAME_RATE = 30;
static final float DT = 1 / (float)FRAME_RATE;

briancavalier

var a = 123, b = 'hello';
function test(x, y) {
	console.log(this);
	return a + x + b + y;
}

// Serialize a function *with its captured environment*
var sf = serialize(test, { a: a, b: b });

// Deserialize with captured environment

karlgluck

What's this all about?

Digital cryptography! This is a subject I've been interested in since taking a class with Prof. Fred Schneider back in college. Articles pop up on Hacker News fairly often that pique my interest and this technique is the result of one of them.

Specifically, this is about Lamport signatures. There are many signature algorithms (ECDSA and RSA are the most commonly used) but Lamport signatures are unique because they are formed using a hash function. Many cryptographers believe that this makes them resistant to attacks made possible by quantum computers.

How does a Lamport Signature work?

zarutian

DCPU-16 Specification
Copyright 1985 Mojang
Version 1.8.x-MROUT-Zarutian



=== SUMMARY ====================================================================

* 16 bit words
* 0x10000 words of ram