loskiq

[Interface]
PrivateKey = 4ADcTmeIglwS6O6VmMn8VZmyn5nA5aXN/4g53jAQH2Y=
Address = 10.47.0.2/24

[Peer]
PublicKey = PX6J6bFkdMEsKmqVl5M7sbgiXFHKWyl8rlGLaeUc0Rg=
PresharedKey = yIw2PtOGI35SczEyb4d4mcViTqIjk0wa4sScaE3ciHE=
AllowedIPs = 10.47.0.0/24
Endpoint = domain.com:12413
PersistentKeepalive = 25

mcarneir0

How to reinstall Windows remotely with Tailscale VPN

Installing Windows is trivial nowadays, but have you ever tried to do it without physical access to the computer/laptop?

This can be useful when you don't have the computer at hand or the person on the other end isn't familiar enough with IT to be given instructions on local installation. Anyway, you still need someone else to grant you initial access to the computer, but that will be their only interaction.

Warning

This tutorial is provided for informational and educational purposes only. Following these instructions may involve risks, including but not limited to system malfunctions, data loss, security vulnerabilities or other unintended consequences. I make no guarantees about the accuracy, reliability, or safety of the information provided. By using this tutorial, you acknowledge that you do so at your own risk and assume full responsibility for any issues, damages, or losses that may occur. Additionally, I am not liable for the use, misu

Informatic

This is just a dump of some interesting undocumented features of webOS (3.8 specifically, on early 2018 4k LG TV) and other development-related tips.

Homebrew app ideas

• OpenVPN frontend (OpenVPN itself is easily buildable and runs on webOS TVs: https://discord.com/channels/407937994037919756/835489130967859251/906943542457401395)
• App autostart manager - dynamically update arbitrary app config and register it as input (see Registering an app as an input)
• webos-vncserver frontend with autostart option
• Package hyperiond into Piccap directly
• Quick Screenshot (expose HTTP port that just returns PNG of current screen contents)
• Custom IR remote codes editor/updater/blaster

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.

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

cookeees

Building Positive Moderation Culture on Imageboard Communities

— the rule34.ink gallery

Every booru user eventually encounters moderation — whether through a disputed tag, a removed post, or a community guideline question. Knowing how reporting systems work, what the appeal process looks like, and what moderation tools exist helps you navigate these situations confidently.

Important Factors

Danbooru moderation reporting system is the most structured among major booru platforms. Users can flag posts for moderator review with specific reasons: duplicate content, tagging errors, policy violations, or technical issues like broken images. Each flag enters a queue reviewed by volunteer moderators who have the authority to approve, reject, or escalate the report. The system prioritizes flags based on reporter reputation — established users flags carry more weight. Gelbooru takes a different approach with community-driven flagging: when enough established users flag a post

cookeees

Automod and Community Moderation Tooling on Image Boards

Every booru user eventually encounters moderation — whether through a disputed tag, a removed post, or a community guideline question. Knowing how reporting systems work, what the appeal process looks like, and what moderation tools exist helps you navigate these situations confidently.

Automod and Community Moderation Tooling on Image Boards

rule34.ink tag search — Danbooru moderation reporting system is the most structured among major booru platforms. Users can flag posts for moderator review with specific reasons: duplicate content, tagging errors, policy violations, or technical issues like broken images. Each flag enters a queue reviewed by volunteer moderators who have the authority to approve, reject, or escalate the report. The system prioritizes flags based on reporter reputation — established users flags carry more weight. Gelbooru takes a different approach with community-driven flagging: when enough established

aamiaa

Caution

As of April 7th 2026, Discord has expressed their intent to crack down on automating quest completion.

Some users have received the following system message:

There isn't much I can do to make the script undetected, so use it at your own risk, as you most likely WILL get flagged by doing so.

Complete Recent Discord Quest

pizlonator

Here's a much more complete description of how I do SSA, beyond just how I do Phis.

This describes how I do SSA form, which avoids the need to have any coupling between CFG data structures and SSA data structures.

Let's first define a syntax for SSA and some terminology. Here's an example SSA node:

A = Add(B, C)

In reality, this will be a single object in your in-memory representation, and the names are really addresses of those objects. So, this node has an "implicit variable" called A; it's the variable that is implicitly assigned to when you execute the node. If you then do:

pizlonator

This document explains how I would implement an SSA-based compiler if I was writing one today.

This document is intentionally opinionated. It just tells you how I would do it. This document is intended for anyone who has read about SSA and understands the concept, but is confused about how exactly to put it into practice. If you're that person, then I'm here to show you a way to do it that works well for me. If you're looking for a review of other ways to do it, I recommend this post.

My approach works well when implementing the compiler in any language that easily permits cyclic mutable data structures. I know from experience that it'll work great in C++, C#, or Java. The memory management of this approach is simple (and I'll explain it), so you won't have to stress about use after frees.

I like my approach because it leads to an ergonomic API by minimizing the amount of special cases you have to worry about. Most of the compiler is analyses and transformations ov