r17x

Design Thinking

X → Graph → Effect<A, E, R>
│              │   │  │  │
│              │   │  │  └─ what each node needs     (§5)
│              │   │  └──── where the graph breaks   (§4)
│              │   └─────── what flows through nodes  (§2)
│              │
│ └─ nodes = functions, edges = data flow

jjnilton

Disclaimer: I'm not the original author of this sheet, but can't recall where I found it. If you know the author, please let me know so I give the attribution.

The original author seems to be Charles Edge, here's the original content, as pointed out by @percisely.

Note: Since this seems to be helpful to some people, I formatted it to improve readability of the original. Also, note that this is from 2016, many things may have changed, and I don't use macOS anymore, so I probably can't help in case of questions, but maybe someone else can.

Mac Network Commands Cheat Sheet

After writing up the presentation for MacSysAdmin in Sweden, I decided to go ahead and throw these into a quick cheat sheet for anyone who’d like to have them all in one place. Good luck out there, and s

GOROman

Languages: 日本語 | English | 简体中文

PS1 BIOS Video Ripper ZX 技術解説

考案: はむ（@Imaha486）さん

概要

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.

dori4n

Office 2024 ISO images

updated 2024-09-20

Version 2409? (Build 16.0.17928.20148)

---

English

RChehowski

./API,SDK & Consoles
Architecture.pdf
Beginning_Cpp_Through_Game_Programming.pdf
Game Engine and Game Design
Game coding complete 4th edition.pdf

./Others
a-whirlwind-tour-of-python.pdf

./AI:

thunderousuku

🟡 WARDOGS Mod Menu — Players, Vehicles, Control Zone & Profiles

WARDOGS Mod Menu is a configurable Windows interface concept built specifically around the real WARDOGS tactical FPS from BULKHEAD and Team17.

The interface is organized around player and squad information, vehicles, logistics, the Control Zone / Hot Zone flow, map tools, interface customization, hotkeys, and reusable configuration profiles.

Game identity: WARDOGS is Steam App 1867240, developed by BULKHEAD and published by Team17. Steam lists its Early Access launch for September 10, 2026.

---