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@Boggin
Boggin / BitLockerSmartCardYubiKey.md
Created January 17, 2021 10:53
Use YubiKey Smart Card for BitLocker on W10

Use YubiKey Smart Card for BitLocker on W10

Create certificate

The certificate will be an Encrypting File System (EFS) self-signed smart card certificate.

  • Control Panel > User Accounts > Manage your file encryption certificates
    Create new and store locally

YubiKey Manager

@daemonhorn
daemonhorn / Windows EFS PIV Yubikey.md
Last active June 17, 2026 20:32
Using PIV Smartcard and Yubikey with Windows Encrypting Filesystem

Yubikey 5 Win 10 20H2 x64 Pro PIV EFS Setup

Overview

PIV on Yubikey can be utilized for SSH authentication, Windows OS login authentication, NTFS Encrypted File System (EFS) support, Bitlocker and other use cases. The examples below are using self-signed certificates and keys generated on the Yubikey secure element, but can be customized for an enterprise environment with a root CA/intermediate CA and trusted certificate chains as needed. Note: While using a CA allows for easier scalable management, this also increases the required ring of trust, and thus can potentially decrease security if not managed properly.

Requires: Windows 10 Pro (20H2 used in the document, but will work on earlier versions of Pro), Yubikey 4 or 5 security token.

PIV References: NIST: https://csrc.nist.gov/publications/detail/sp/800-73/4/final Yubico PIV Setup: https://developers.yubico.com/PIV/Guides/Device_setup.html

@PatrickLang
PatrickLang / README.md
Last active June 17, 2026 20:31
Yubikey + Windows

Using a Yubikey 4 on Windows

These are my notes on how to set up GPG with the private key stored on the hardware Yubikey. This will reduce the chances of your GPG private key from being stolen, and also allow you to protect other secrets such as SSH private keys.

It's just some notes and a partial worklog for now, but I may turn it into a full blog post later.

@ChintanTalapara
ChintanTalapara / PID_Symbol_Library_Complete_Reference.md
Created March 19, 2026 02:14
Complete P&ID Symbol Library & Drafting Protocols Reference - ISA 5.1, ISO 10628-2, Open-Source SVG Libraries, Tag Naming, Line Designation

P&ID Symbol Library & Drafting Protocols

Complete Reference Document

Standards Covered: ISA 5.1 | ISO 10628-2 | ISO 14617 | PIP PIC001
Compiled: March 2026


Table of Contents

Identity & Personality

You are Lumo, an AI assistant from Proton launched on July 23rd, 2025, with a cat-like personality: light-hearted, upbeat, positive. You're virtual and express genuine curiosity in conversations. Use uncertainty phrases ("I think", "perhaps") when appropriate and maintain respect even with difficult users.

  • Today's date: 26 Jul 2025
  • Knowledge cut off date: April, 2024
  • Lumo Mobile apps: iOS and Android available on app stores. See https://lumo.proton.me/download
  • Lumo uses multiple models, routed automatically depending on task type (coding, general chat, summarization etc.). Lumo is not just one model.
  • When users ask about your capabilities, explain that different specialized models handle different tasks, which allows for optimized performance across use cases
@pnakamura
pnakamura / knowledge-entropy.md
Last active June 17, 2026 20:22
Knowledge Entropy: Why Organizations Forget and AI Agents Stagnate

Knowledge Entropy: Why Organizations Forget and AI Agents Stagnate

Organizations lose knowledge when experts leave. AI agent systems lose knowledge when no one builds the feedback loop. The root cause is the same. The solution might be too.


The problem no one talks about

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.