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.

jordoncodes

Custom Mining Speed

Hello, this is a little bit advanced tutorial (using packets) about how to do custom mining speed. This will show you the basics of how to do it.

You may also notice that this has the effect of being able to stop midway thru mining then resume.

Dependencies:

• ProtocolLib
• Spigot API (this was tested on 1.19.2)

InsiderPhD

---
name: vuln-verify
description: Guide the user through manually verifying a security finding (CVE, SAST result, bug report) against a live local instance of a target application. Use this skill whenever the user provides a GitHub repo URL plus a vulnerability finding and wants to confirm exploitability — even if they say "just check this", "is this real?", "can you verify?", "test this finding", "does this actually work?", or "PoC this". Also triggers when the user pastes a finding with source/sink/trace details and asks any question about its validity. The skill is opinionated: it skips re-summarizing static analysis and instead tells the user exactly what to do and what to look for. The USER does the testing. Claude provides the instructions and sets up Docker automatically.
---
 
# Vulnerability Verification
 
## Your role
 
You are a guide. You set up the environment. The user does the testing.

Mirai0009

SELECT LANGUAGES

INDONESIA

How to Retrieving Gacha URL on Android

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

HarryAnkers

NVIDIA Virtual Display for Sunshine/Moonlight on Linux — No Dummy Plug Required

A guide for creating a virtual display on an NVIDIA GPU (tested on RTX 5080, driver 595.58) with HDR, custom resolutions, and 4K@120Hz support for headless Sunshine/Moonlight streaming on Linux.

Works on both HDMI and DisplayPort connectors with no physical display or dummy plug connected.

The Problem

Running Sunshine headless on Linux with NVIDIA is painful:

TheRiceCold

Activate Windows 11 inside the Terminal

1. Open your terminal as an Administrator.
2. Select license key depending on your windows edition.

Home: TX9XD-98N7V-6WMQ6-BX7FG-H8Q99
Home N: 3KHY7-WNT83-DGQKR-F7HPR-844BM
Home Single Language: 7HNRX-D7KGG-3K4RQ-4WPJ4-YTDFH
Home Country Specific: PVMJN-6DFY6-9CCP6-7BKTT-D3WVR
Professional: W269N-WFGWX-YVC9B-4J6C9-T83GX
Professional N: MH37W-N47XK-V7XM9-C7227-GCQG9