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.

DenBread

My greetings, for everyone.

How to activate any JetBrains products with 3.jetbra.in?

First we need to visit this website

https://3.jetbra.in

Click the first link with Online status, by default is ipfs.io

jclapis

Recently, I've been playing around with a Raspberry Pi 4B that I just picked up. It's an awesome little device for the price; I'm really impressed with what it can do so far. I'm planning to use it as a driver for a DIY observatory I'm working on. As part of that, I'm writing an application that can remote control my camera and a custom motorized mount for my telescope. I decided to use .NET Core as my framework of choice; I'm a big fan of C# and its ecosystem, and the fact that .NET Core 3.1 works on ARM64 systems (which is what the Pi 4B runs) makes it a no-brainer.

Unfortunately, .NET Core doesn't come with any cross-platform UI frameworks out of the box. I use WPF a lot for Windows projects, but one of its biggest weaknesses is that it isn't supported on anything else. The WPF repo already has a very long thread about this very topic, so it's definitely one that's on a lot of peoples' minds. That be

minimaxir

Agent Guidelines for Python Code Quality

This document provides guidelines for maintaining high-quality Python code. These rules MUST be followed by all AI coding agents and contributors.

Your Core Principles

All code you write MUST be fully optimized.

"Fully optimized" includes:

yassirtouab

🚀 Core Stack

Category	Tool	Notes
Language	TypeScript	Type-safe across backend, frontend, and mobile
Runtime	Bun (default), Node.js (fallback)	Ultra-fast JavaScript/TypeScript runtime & package manager
Web Framework	Next.js	App Router, Server Components, API routes
Backend Framework	Hono (optional)	Lightweight, high-performance API backend (REST/GraphQL)
Mobile Framework	React Native + Expo	Cross-platform native apps for iOS/Android

randomaccess3

# https://learn.microsoft.com/en-us/onedrive/developer/code-snippets/quickxorhash?view=odsp-graph-online
# Usage: python C:\tools\quickxor.py -f file --base64
# This will present the hash of the file as you would see it in the OneDrive databases.

import argparse
import base64

MASK64 = 0xFFFFFFFFFFFFFFFF

class QuickXorHash:

asheroto

Set-CopilotKeyToChatGPT

PowerShell script that makes ChatGPT Desktop available as a target for the Windows 11 Copilot hardware key.

It finds ChatGPT's MSIX AUMID, writes the CopilotKey\SetCopilotHardwareKey policy under HKCU, verifies the value, and opens the "Customize Copilot key on the keyboard" settings page so you can pick ChatGPT. The policy makes ChatGPT available as a Copilot key choice; you still select it on that page to make it the active target. Run with -Revert to remove the option.

bradtraversy

MySQL Cheat Sheet

Help with SQL commands to interact with a MySQL database

MySQL Locations

• Mac /usr/local/mysql/bin
• Windows /Program Files/MySQL/MySQL version/bin
• Xampp /xampp/mysql/bin

Add mysql to your PATH

gilakos

{
	"info": {
		"_postman_id": "9551db06-00aa-4212-8809-d72e56ed7803",
		"name": "Astra Developer Sandbox",
		"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
	},
	"item": [
		{
			"name": "Authenticate User",
			"request": {