JuniorDjjr

// *****************************************************************************************
// *****************************************************************************************
// *****************************************************************************************
// ****************************************PC SA Main Script********************************
// *****************************************************************************************
// *****************************************************************************************
// *****************************************************************************************
  																				 
SCRIPT_NAME MAIN  //NEW MAIN

shawnyeager

OpenCode Web Server Setup

Run OpenCode as a persistent background service, accessible from any device via Tailscale.

Why?

• Access from anywhere — Start a task from your phone, check results from your laptop
• Sessions persist — Close the browser, come back later, your session is still there
• Multiple clients — Terminal TUI and browser can connect to the same session simultaneously
• Survives crashes — systemd restarts the server automatically

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.

andy0130tw

.theme_dark .search-result:has(.ai-stain-icon),
.theme_dark .search-result:has(.ai-stain-icon) + .sr-group {
  --app-text: #403E3C80;
  --search-result-url-link: #878580;
  --result-item-title-border: #87858080;
  --search-result-title: #87858080;
  --search-result-content-text: #87858080;
}

.theme_dark .search-result .ai-stain-icon > svg {

YouSysAdmin

Arrows

→ ← ↑ ↓ ↔ ↕ ⇒ ⇐ ⇄ ⇆ ↩ ↪ ⤴ ⤵ ➜ ➔ ▸ ◂ ▴ ▾ » « › ‹

Chevrons / triangles (toggles, menus)

▶ ▼ ◀ ▲ ▷ ▽ ◁ △ ⌃ ⌄ ⌅ ⌆ ⏵ ⏷

Status / check / cross

eryabyshev

1. Обновляем систему

sudo apt update
sudo apt upgrade -y

2. Удаляем старые версии Docker (если были)

melMass

Boot

Boot in recovery

sudo nvram "recovery-boot-mode=unused" && sudo reboot recovery

Boot in Internet Recovery

• Shift +Option + Cmd + R equivalent:

  sudo nvram internet-recovery-mode=RecoveryModeNetwork

t3tra-dev

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <unistd.h>
#include <pthread.h>
#include <stdatomic.h>
#include <IOKit/IOKitLib.h>

#define NCALLERS 6
#define NCLOSERS 4