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.

n1snt

Oh my zsh Setup (Fast + Minimal)

Install Zsh

Ubuntu

sudo apt update
sudo apt install zsh curl git

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

adtac

#!/usr/bin/env -S bash -c "docker run -p 8080:8080 -it --rm \$(docker build --progress plain -f \$0 . 2>&1 | tee /dev/stderr | grep -oP 'sha256:[0-9a-f]*')"

# syntax = docker/dockerfile:1.4.0

FROM node:20

WORKDIR /root

RUN npm install sqlite3

Frityet

How to install game-porting-toolkit (aka proton for macOS)

You also might wanna just use Whisky which does this automatically

This guide works on macOS 13.4+ using Command Line Tools for XCode 15 Beta!

What is this?

In the recent WWDC, Apple announced and released the "game porting toolkit", which upon further inspection this is just a modified version of CrossOver's fork of wine which is a "compatibility layer" that allows you to run Windows applications on macOS and Linux.

rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

DavidWells

/* Ultra lightweight Github REST Client */
// original inspiration via https://gist.github.com/v1vendi/75d5e5dad7a2d1ef3fcb48234e4528cb
const token = 'github-token-here'
const githubClient = generateAPI('https://api.github.com', {
  headers: {
    'User-Agent': 'xyz',
    'Authorization': `bearer ${token}`
  }
})

bugbountynights

${ctx:loginId}
${map:type}
${filename}
${date:MM-dd-yyyy}
${docker:containerId}
${docker:containerName}
${docker:imageName}
${env:USER}
${event:Marker}
${mdc:UserId}

SwitHak

Security Advisories / Bulletins / vendors Responses linked to Log4Shell (CVE-2021-44228)

Errors, typos, something to say ?

• If you want to add a link, comment or send it to me
• Feel free to report any mistake directly below in the comment or in DM on Twitter @SwitHak

Other great resources

• Royce Williams list sorted by vendors responses Royce List
• Very detailed list NCSC-NL
• The list maintained by U.S. Cybersecurity and Infrastructure Security Agency: CISA List

gregsadetsky

As noted by @murdats below, there are more URLs than just these 1440 ones, depending on the argument values
that are hashed (as the filenames below are MD5 hashes of a few arguments: red/blue pill color, HHMM time, etc.)

You can read details about the algorithm used to generate these URLs here:

https://news.ycombinator.com/item?id=28448335

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00:00 https://thechoiceisyours.whatisthematrix.com/generated/v7/high/d43725991d28ffcab04aa716762cf6af.mp4