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.

VladimirMakaev

#!/usr/bin/env python3
"""
ventoy-macos-install.py - Install Ventoy on a USB drive from macOS.

This script installs Ventoy on a USB drive without requiring macFUSE,
Linux, or a VM. It writes the GPT partition table, boot code, and
EFI partition image directly to the raw block device.

Usage:
    sudo python3 ventoy-macos-install.py /dev/diskN [--exfat|--ntfs] [--ventoy-version VERSION]

clintongormley

curl -XPUT 'http://localhost:9200/us/user/1?pretty=1' -d '
{
   "email" : "john@smith.com",
   "name" : "John Smith",
   "username" : "@john"
}
'

curl -XPUT 'http://localhost:9200/gb/user/2?pretty=1' -d '
{

hctsai1006

淨零碳規劃管理師-初級能力鑑定 題庫整理

• 整理日期：2026/01/22

說明

本文彙整了「淨零碳規劃管理師-初級能力鑑定」113-115 年度的考古題，內容僅供參考，考試命題不一定會相同，請考生留意。

• 使用方法：Ctrl + F 直接輸入題目關鍵字搜尋即可

mikepruett3

<#
.SYNOPSIS
    Script to Initialize my custom powershell setup.
.DESCRIPTION
    Script uses scoop
.NOTES
    **NOTE** Will configure the Execution Policy for the "CurrentUser" to Unrestricted.

    Author: Mike Pruett
    Date: October 18th, 2018

gcchaan

エンジニア向け研修

• CARTA HOLDINGS（旧VOYAGE GROUP）
  • 技術広報が新卒研修<Open AIハッカソン>をスパイしてみた - (2023/04/11)
  • @t_wadaに学ぶテスト駆動開発【CARTA 23新卒研修】 - (2023/04/19)
  • 【新卒研修】監修者@t_wadaと読む！プログラマが知るべき97のこと読書会 - (2024/04/09)
• Classi
  • 当たり前にリリースしていく ~ 新卒研修編 - (2021/05/20)
  • リモートワークのための質問力向上研修を実施しました - (2021/12/07)
  • Classi 2025年新卒エンジニア研修「そーだい塾」を開催しました - (2025/06/18)
• CyberZ

Toffikk

A Response to “A Critical Examination of CanvasMC’s Response”

Addressing Claims of Deflection, Manipulation, and Lack of Accountability

The recent critique of CanvasMC’s response presents the situation as a straightforward case of intentional license violations followed by an attempt to avoid responsibility. However, this framing leaves out important context regarding the development history, communication between projects, the nature of the disputed patches, and CanvasMC’s actual response after concerns were raised.

This response is not intended to deny that mistakes occurred. CanvasMC has acknowledged multiple times that attribution mistakes happened and has taken steps to correct them. The disagreement is not whether every process was perfect; it is whether those mistakes represent malicious behavior, deliberate plagiarism, or the kind of misconduct being claimed.

1. The Difference Between License Mistakes and Malicious Intent