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Turning concepts into prototypes

Gilbert Seilheimer gseilheimer

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Turning concepts into prototypes
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@hofmannsven
hofmannsven / readme.md
Last active November 2, 2022 14:56 — forked from gthln/gist:8401080
Install PHP Composer on Managed Hosting at Domainfactory.

Install Composer on Managed Hosting at Domainfactory

Step 1:

Log in to your Managed Hosting Server via SSH. Create your .bashrc:

touch .bashrc
// create a bookmark and use this code as the URL, you can now toggle the css on/off
// thanks+credit: https://dev.to/gajus/my-favorite-css-hack-32g3
javascript: (function() {
var elements = document.body.getElementsByTagName('*');
var items = [];
for (var i = 0; i < elements.length; i++) {
if (elements[i].innerHTML.indexOf('* { background:#000!important;color:#0f0!important;outline:solid #f00 1px!important; background-color: rgba(255,0,0,.2) !important; }') != -1) {
items.push(elements[i]);
}
}
// create a bookmark and use this code as the URL, you can now toggle the css on/off
// thanks+credit: https://dev.to/gajus/my-favorite-css-hack-32g3
javascript: (function() {
var styleEl = document.getElementById('css-layout-hack');
if (styleEl) {
styleEl.remove();
return;
}
styleEl = document.createElement('style');
styleEl.id = 'css-layout-hack';
@rossarioking
rossarioking / WindowsUpdatesByPassWSUS.ps1
Last active March 28, 2025 20:26
PowerShell Script to Bypass Local WSUS Server and Pull Updates Straight from the Internet. #PowerShell
# Stop the Windows Update service
Stop-Service -Name wuauserv
# Remove the registry key
Remove-Item HKLM:\Software\Policies\Microsoft\Windows\WindowsUpdate -Recurse
# Start the Windows Update service
Start-Service -name wuauserv

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.