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.

stampylongr

#!/usr/bin/sudo ruby

# 
# revealer.rb -- Deobfuscate GHE .rb files.
# 
# This is simple:
# Every obfuscated file in the GHE VM contains the following code:
# 
# > __ruby_concealer__ "..."
# 

ifeulner

Longhorn best practices

The following settings are provided as an example how longhorn should be configured in a production cluster, especially if it is deployed on Hetzner Cloud infrastructure.

Hetzner server nodes provide local storage and allow up to five attached volumes (with a size of up to 10TiB each) Local storage is provided by NVMe storage and therefore is much faster than the attached volumes, but limited in size (max 300GiB usable).

It is assumed that the cluster creation is already done, e.g. via terraform scripts provided by the great kube-hetzner project.

Initial configuration

skylartaylor

Googlebook OS on x86 Linux/KVM — what we found so far

Notes from a first attempt at booting the Intel Googlebook recovery image (lapis-user, build 16452207) under QEMU/KVM on Linux, as a follow-up to gbos-vm (the Apple Silicon version). We got the kernel up and then hit a wall, so this isn't a working port — it's a head start for anyone else poking at it.

The wall: you need a recent CPU

The kernel boots fine. Then /init dies 0.77 s in:

traps: init[1] trap invalid opcode ip:2e3160 ... in init[e3160,28c000+25a000]

Alimammiya

Free GATE CSE Study Material for 2027 Aspirants: Download Subject wise Notes & PYQs

Welcome to the comprehensive, community-driven resource repository for GATE Computer Science & Information Technology (CS & IT) 2027 aspirants. Securing a top rank in the Graduate Aptitude Test in Engineering (GATE) unlocks direct admissions to premier postgraduate programs (M.Tech/Ph.D.) at IITs, NITs, and IISc, alongside prestigious technical roles within leading PSUs.

This repository serves as a centralized documentation hub compiled from authoritative open-source archives, topper strategies, and verified learning pathways for your GATE CSE study material search.

---

Table of Contents

1. Core Syllabus Structure & Weightage Analysis

Cryptophobia

Enabling Hibernation on Fedora 43

A complete guide to enable hibernation on Fedora 43 (Workstation) with UEFI and btrfs filesystem, including fixes for Secure Boot and SELinux issues.

Complete Command Reference

Run these commands in sequence to enable hibernation:

# Calculate swap size (RAM-based formula)

LondheShubham153

Git Commands

This Gist contains all the useful commands for Git

Version control is a system that records changes to a file or set of files over time so that you can recall specific versions later.

If you are a developer and want to keep every version of your code/project (which you would most certainly want to), a Version Control System (VCS) is a very wise thing to use.

• All the commands used for Git

alsyundawy

🖥️ Installer for Microsoft Office for macOS

Microsoft Office for macOS

Your ultimate resource for macOS Office installers, serializers, and troubleshooting.

[](https://github.com/alsyun

mnjstwins

ftp://ftp.intron.ac/
ftp://ftp.ox.ac/
ftp://ftp.robelle3000.ai/
ftp://ftp.linux.org.ar/
ftp://ftp.secyt.gov.ar/
ftp://eclipt.uni-klu.ac.at/
ftp://ftp.ad.or.at/
ftp://ftp.adis.at/
ftp://ftp.ai.univie.ac.at/
ftp://ftp.cg.tuwien.ac.at/

daprice

Setting up a Mastodon development environment using Apple’s container machine on macOS

Container Machine is Apple’s open-source, lightweight virtualization solution for running a Linux development environment on a Mac, akin to WSL (Windows Subsystem for Linux) on Windows. The talk Discover container machines from WWDC 2026 provides an overview of how it works. In my limited experience, it starts and runs much faster than comparable options like Vagrant or Docker Desktop, doesn’t make you deal with janky, non-native UI or nag you to upgrade to a paid plan, and has a smaller memory, CPU, and storage footprint.

First I installed container by running the following in a Terminal window. I used Homebrew but you could also install it manually following the instructions in Apple's README.

brew install container