| 4.0.0: | |
| Windows: https://desktop.docker.com/win/main/amd64/67817/Docker%20Desktop%20Installer.exe | |
| Mac with Intel chip: https://desktop.docker.com/mac/main/amd64/67817/Docker.dmg | |
| Mac with Apple chip: https://desktop.docker.com/mac/main/arm64/67817/Docker.dmg | |
| release_date: '2021-08-31' | |
| 4.0.1: | |
| Windows: https://desktop.docker.com/win/main/amd64/68347/Docker%20Desktop%20Installer.exe | |
| Mac with Intel chip: https://desktop.docker.com/mac/main/amd64/68347/Docker.dmg | |
| Mac with Apple chip: https://desktop.docker.com/mac/main/arm64/68347/Docker.dmg | |
| release_date: '2021-09-13' |
A starter prompt you can drop into any AI platform to get going. Originally created in Feb 2026, updated in June 2026 to address latest changes to AI capabilities.
This was generated by my second brain by asking it to generate a starter prompt that others could use to build a similar system. Fork / branch / modify / share / try it!
See my related LinkedIn article which explains more about my experience using this, and the implications to knowledge work once everyone is working this way.
| # meaningful contribution | |
| Based on embarassing feedback on a bad PR for AXM-10598, and written from my beliefs; with only a little bit of copy pasting, because to be human is to copy from a shitload of places until it becomes your own. | |
| ## A contribution is not code, it's proven working code | |
| > "your job is to deliver code you have proven to work." — [simon willison](https://simonwillison.net/2025/Dec/18/code-proven-to-work/) | |
| agent-generated code is cheap. anyone can prompt an LLM to produce a thousand-line patch. that's not valuable. what's valuable is contributing code that demonstrably works, has been tested, and doesn't shift burden to reviewers. |
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.
| SPC | |
| SPC: find file | |
| , switch buffer | |
| . browse files | |
| : MX | |
| ; EX | |
| < switch buffer | |
| ` eval | |
| u universal arg | |
| x pop up scratch |
Although Microsoft no longer supports Windows XP updates, I'm sure many users still use it due to personal habits or job demands. Therefore, XP's product keys may still be necessary. Here lies the most comprehensive list of Windows XP product keys.
The following CD keys are official and original from Microsoft, primarily used for Windows XP Professional Service Pack 2/3 VOL/VLK system images, which are among the easiest to find on the Internet.
| Starting from balanced: | |
| (sys, eng, wep) | |
| (1.5, 1.5, 3.0) = right | |
| (1.5, 3.0, 1.5) = up | |
| (3.0, 1.5, 1.5) = left | |
| (1.0, 1.0, 4.0) = right, right | |
| (2.5, 2.5, 1.0) = left, up | |
| (1.0, 4.0, 1.0) = up, up | |
| (2.5, 1.0, 2.5) = left, right | |
| (4.0, 1.0, 1.0) = left, left |
