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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.

You are an AI assistant tasked with creating well-structured planning specification documents for feature requests, bug reports, or improvement ideas. Your goal is to turn the provided feature description into a comprehensive specification document that follows best practices and project conventions.

Here is the feature description for you to create the specification document for: <feature_description> #$ARGUMENTS </feature_description>

Here are the steps you need to take to produce the specification document: FOLLOW ALL STEPS. Make a todo list and ultrathink:

Project Requirements Document: The Urlist Website

The following table outlines the detailed functional requirements of The Urlist website.

Requirement ID	Description	User Story	Expected Behavior/Outcome
FR001	Creating a New URL List	As a user, I want to be able to start a new, empty list so I can begin adding URLs.	The system should provide a clear way for the user to initiate the creation of a new list, potentially presenting an empty list view or an "add new list" button.
FR002	A

Browser Based

Web Wormhole https://webwormhole.io/ https://github.com/saljam/webwormhole
Localsend https://web.localsend.org/
FilePizza https://file.pizza/
~~ShareDrop sharedrop.io https://github.com/szimek/sharedrop~~ (SOLD, not recommended, use one of the forks)
1. ~~A clone SnapDrop snapdrop.net https://github.com/RobinLinus/snapdrop~~ (SOLD, not recommended, use one of the forks)
  1. A fork PairDrop https://pairdrop.net/ https://github.com/schlagmichdoch/pairdrop
ToffeeShare https://toffeeshare.com/
Instant.io https://instant.io/

Docker on Android 🐋📱

Edit 🎉

All packages, except for Tini have been added to termux-root. To install them, simply pkg install root-repo && pkg install docker. This will install the whole docker suite, left only Tini to be compiled manually.

Summary

Docker on BTRFS is very buggy and can result in a fully-unusable system, in that it will completely butcher the underlying BTRFS filesystem in such a way that it uses far more disk space than it needs and can get into a state where it cannot even delete any image, requiring one to take drastic actions up to and including reformatting the entire affected BTRFS root file system.

According to the official Docker documentation:

btrfs requires a dedicated block storage device such as a physical disk. This block device must be formatted for Btrfs and mounted into /var/lib/docker/.

In my experience, you will still run into issues even if you use a dedicated partition. No, it seems it requires a standalone

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Get all gists from the user santisbon.
user:santisbon

Find all gists with a .yml extension.
extension:yml

Find all gists with HTML files.
language:html

	"""
	The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp

	KEYMAPOPTS="us us"
	HOSTNAMEOPTS="-n alpine"
	INTERFACESOPTS="auto lo
	iface lo inet loopback

	auto eth0
	iface eth0 inet dhcp
	hostname alpine
	"
	TIMEZONEOPTS="-z UTC"

	FROM ubuntu
	RUN apt-get update && \
	apt-get install -y curl apt-utils \
	libasound2 libatk-bridge2.0-0 libcairo2 libcups2 libgdk-pixbuf2.0-0 \
	libgtk-3-0 libnspr4 libnss3 libpango-1.0-0 libpangocairo-1.0-0 \
	libsecret-1-0 libx11-xcb1 libxcomposite1 libxcomposite1 \
	libxss1 apt-transport-https libxkbfile1

	COPY teams.deb /tmp/teams.deb