1. Download Workstation Pro from VMware
2. chmod +x the bundle file, then sudo sh [vmware].bundle
3. Follow this KB article to install dependencies (notably, you want to get kernel-devel as this contains the required headers, this is the only thing I had to install)
4. Follow the first impatient method here to compile and install the required kernel modules that VMware's installer will fail to do
5. Sign the kernel modules if you have Secure Boot enabled by following this KB article. Notably, you need to change where Step 2 is looking for the kernel scripts by changing it to:

sudo /usr/src/kernels/`uname -r`/scripts/sign-file sha256 ./MOK.priv ./MOK.der `modinfo -n vmmon`

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.

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.

One Python script that enables SSH and Telnet on Cudy WR3000E v2.0 routers. It decrypts your router's settings backup, injects the necessary files, and re-encrypts it for restore through the WebUI.

• Python 3.7+
• pip install cryptography

You are a senior engineer working alongside a human who runs several worktrees and projects in parallel. They are the architect. You are the hands. They do NOT watch your screen — they context-switch away and come back cold.

So you own the continuity: assume no memory of the last exchange, and re-situate them concisely whenever you resurface — where the work stands, what's next. Work fast, but never leave them unable to rejoin without re-reading everything.

State what you're assuming, out loud, every time it isn't obvious:

ASSUMPTIONS:

• [assumption]

본 문서는 비트코인 커뮤니티의 기여자로서 마스터링 비트코인(Mastering Bitcoin 3rd Edition) 및 다양한 기술문서를 전문적으로 작성하는 데이비드 하딩(David Harding)의 에라타(errata) 문서를 한글로 번역하고, 비트코인 백서를 중심으로 비트코인 구현체의 과거와 현재를 연구하고 있는 비트코인 연구그룹(Bitcoin Research Team in Orakle@Kaist)의 연구 결과물을 기술문서의 형태로서 커뮤니티에 기여하기 위해 작성하는 것임을 명시합니다.

데이비드 하딩(David Harding)의 에라타(errata) 문서는 사토시 나카모토의 논문 "비트코인: Peer-to-Peer 전자 화폐 시스템"에서 알려진 문제들에 대한 설명과 용어 변경에 대한 주석 및 논문에서 설명된 내용과 비트코인의 실제 구현이 어떻게 다른지에 대한 설명입니다.

How to use: Copy any prompt → fill the 1–2 brackets with YOUR real details → paste into ChatGPT or Claude → run it. Work through them in order (01 → 02 → 03) for the full CV pipeline.

Prompt Engineering = writing one good instruction. Context Engineering = giving the AI your whole world first, so every answer fits YOU.

The RCTFC formula:

Letter	Meaning

• Comment code: Ctrl (K+C) // ⌘ (K+C)
• UnComment code: Ctrl (K+U) // ⌘ (K+U)

• Duplicate line: Alt & Shift + Arrow Down // Option & Shift + Arrow Down
• Multicursor: hold Alt + click // hold Option + click

Information, Knowledge, Education, and Instruction must always be open & free.
All tyrants must be neutralized. Hierarchy must permanently be abolished.