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@WildSiphon
WildSiphon / DockerDesktop.yaml
Created July 5, 2025 11:00
Docker Desktop direct download links
4.0.0:
Windows: https://desktop.docker.com/win/main/amd64/67817/Docker%20Desktop%20Installer.exe
Mac with Intel chip: https://desktop.docker.com/mac/main/amd64/67817/Docker.dmg
Mac with Apple chip: https://desktop.docker.com/mac/main/arm64/67817/Docker.dmg
release_date: '2021-08-31'
4.0.1:
Windows: https://desktop.docker.com/win/main/amd64/68347/Docker%20Desktop%20Installer.exe
Mac with Intel chip: https://desktop.docker.com/mac/main/amd64/68347/Docker.dmg
Mac with Apple chip: https://desktop.docker.com/mac/main/arm64/68347/Docker.dmg
release_date: '2021-09-13'
@jh00nbr
jh00nbr / cpf_consulta_api_sus.py
Last active May 17, 2023 17:36
Script simples para consulta de dados na base dados nacional do SUS utilizando o CPF.
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import requests,json,sys
# Script simples para consulta de dados na base dados nacional do SUS utilizando o CPF.
# Jhonathan Davi A.K.A jh00nbr / Insightl4b lab.insightsecurity.com.br
# jh00nbr: http://jhonathandavi.com.br
# Blog: lab.insightsecurity.com.br
# Github: github.com/jh00nbr
# Twitter @jh00nbr

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.

@toomanybrians
toomanybrians / ai-second-brain-starter-prompt.md
Last active August 26, 2026 04:34
Starter prompt for your AI to interview you and set up an AI second brain / AI personal knowledge system

Build your own AI second brain starter prompt

A starter prompt you can drop into any AI platform to get going. Originally created in Feb 2026, updated in June 2026 to address latest changes to AI capabilities.

This was generated by my second brain by asking it to generate a starter prompt that others could use to build a similar system. Fork / branch / modify / share / try it!

See my related LinkedIn article which explains more about my experience using this, and the implications to knowledge work once everyone is working this way.


@bdsqqq
bdsqqq / 2026-01-06 ensure your work is a meaningful contribution
Created August 24, 2026 23:45
2026-01-06 ensure your work is a meaningful contribution
# meaningful contribution
Based on embarassing feedback on a bad PR for AXM-10598, and written from my beliefs; with only a little bit of copy pasting, because to be human is to copy from a shitload of places until it becomes your own.
## A contribution is not code, it's proven working code
> "your job is to deliver code you have proven to work." — [simon willison](https://simonwillison.net/2025/Dec/18/code-proven-to-work/)
agent-generated code is cheap. anyone can prompt an LLM to produce a thousand-line patch. that's not valuable. what's valuable is contributing code that demonstrably works, has been tested, and doesn't shift burden to reviewers.
@creio
creio / ascii art
Last active September 12, 2024 22:31
curl -L git.io/ricex
curl -L git.io/unix
curl -L git.io/taco
curl -L git.io/pizzza
curl -L git.io/pancakes
curl -L git.io/poptart
curl -L git.io/waffles
curl -L git.io/burger
curl -L git.io/rice
curl -L git.io/vburger
@thoroc
thoroc / agent-stars.md
Created March 18, 2026 14:00
Agentic harness ranking - based on github stars