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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.
If you purchase a textbook from McGraw Hill, the website to view it is clunky and only works on some devices. You can't go to specific page numbers, the search is super slow, etc. That's why I wrote this script to download the textbook as an ePub file for your own viewing.
Using this script is 100% legal. McGraw Hill publicly hosts their ebooks online in order for their web client to download it. Moreover, to use it, you must already have purchased the book you would like to download, so it is legally yours to use as you please. However, it IS illegal to use this for piracy purposes. DO NOT DISTRIBUTE ANY TEXTBOOKS YOU DOWNLOAD USING THIS SCRIPT.
| # vim style tmux config | |
| # use C-a, since it's on the home row and easier to hit than C-b | |
| set-option -g prefix C-a | |
| unbind-key C-a | |
| bind-key C-a send-prefix | |
| set -g base-index 1 | |
| # Easy config reload | |
| bind-key R source-file ~/.tmux.conf \; display-message "tmux.conf reloaded." |
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| @echo off | |
| title Activate Microsoft Office 2019 ! | |
| cls | |
| echo ============================================================================ | |
| echo #Project: Activating Microsoft software products | |
| echo ============================================================================ | |
| echo. | |
| echo #Supported products: | |
| echo - Microsoft Office Standard 2019 | |
| echo - Microsoft Office Professional Plus 2019 |
Executive Summary This report details a critical vulnerability in the Google Play Store's trust model that allows organized threat actors to bypass automated and manual security reviews. Despite providing a comprehensive technical breakdown (Report ID: 509209236), Google VRP classified the issue as "Won't Fix (Intended Behavior)" after the report garnered 24 internal views and expanded engineering access.
Technical Vulnerability Overview The exploit chain leverages a "Trust-Model Collapse" through several sophisticated stages:
Reputation Hijacking (Identity Pivot): Attackers gain control of "Aged Developer Accounts" with long-standing, verified histories in non-sensitive sectors (e.g., Pharmacy, Logistics) to inherit a high level of trust.
Review Evasion (The Cloak): Applications utilize environment fingerprinting to distinguish between a Google automated sandbox and a genuine user device, suppressing malicious behavior during the review phase.
