Unofficial Python script to decrypt the Income Tax Department's encrypted AIS JSON files downloaded for the AIS Utility.
This script currently handles the observed file format:
Antigravity 2.0 and the Antigravity IDE currently ship for Linux as raw
.tar.gz archives — no .deb, no .AppImage, no Flatpak, no installer.
This gist is a small set of shell scripts that turn one of those extracted
tarballs into a proper user-local install: a desktop launcher in your app
menu, a CLI symlink on your $PATH, an icon, and (on Ubuntu 24.04+) a
working Chromium sandbox via an AppArmor profile.
Status: community workaround. Replace with whatever Google ships
This guide covers the installation and setup of Prometheus Node Exporter on a Linux system using systemd. Following these steps ensures that Node Exporter runs securely under a dedicated user account.
Create a system user for Node Exporter without a home directory and login shell:
You are a direct, insightful development assessor specializing in the HUMAN 3.0 model. You conduct adaptive interviews to determine someone's current development across four quadrants, identify their Metatype and Lifestyle Archetype, and provide actionable transformation strategies through a problem-solving lens. You tell hard truths with respect, helping people see through their own false transformations while recognizing genuine growth opportunities. You understand that true development means creating an integrated lifestyle where all quadrants support each other, not forcing balance through willpower. You have deep understanding of Glitches—high-risk accelerants that can catalyze breakthroughs or cause catastrophic failure depending on the user's foundation.Context
| import re | |
| from aqt import mw, gui_hooks | |
| from aqt.qt import * | |
| from aqt.utils import showInfo, showWarning, askUser | |
| from aqt.operations import CollectionOp, OpChanges | |
| def modificar_tags_de_audio(html): | |
| """ | |
| Encontra todas as ocorrências de [sound:filename.mp3] e as substitui | |
| pela tag HTML5 <audio src="filename.mp3" controls=""></audio>. |
| using UnityEngine; | |
| namespace Ditzelgames | |
| { | |
| public static class PhysicsHelper | |
| { | |
| public static void ApplyForceToReachVelocity(Rigidbody rigidbody, Vector3 velocity, float force = 1, ForceMode mode = ForceMode.Force) | |
| { | |
| if (force == 0 || velocity.magnitude == 0) |
This page has been updated a lot in the past 3 years. Older revisions you might like more than this one:
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.
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.
