thepwrtank18

DEPRECATION NOTICE

Consider this gist to be deprecated. It's full of information that may or may not be correct, given recent findings. Consider the in-development PIDDatabase, and UMSKT, instead: https://umskt.github.io/PIDDatabase-viewer https://github.com/UMSKT/UMSKT

If you still want to see the old gist, see the last revision.

lachesis

Overview

Here's some docs on how I connected to OCTOI using a Raspberry Pi, an icE1usb, and my Cisco 2921 voice router.

Getting a config file

I contacted LaF0rge from #retronetworking on libera.chat. He asked me to email him at (redacted).

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.