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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.

@dev-zzo
dev-zzo / imperfect-design.md
Last active April 10, 2026 22:45
A curated list of research papers and blog posts on embedded security, keyed by the device p/n

The list below is compiled to inform, guide, and inspire budding security researchers. Oh and to pick something for bedtime reading too.

Included in the list are works on the following topics related to MCU/SoC security:

  • Secure boot
  • Fault injection
  • Side channel attacks

At the end of the list, there is also a section with links to articles of potential general interest, not addressing vulnerabilities in any specific device.