theghostnevercry

NetLimiter 3
Registration name:  Peter Raheli
Registration code:  C99A2-QSSUD-2CSBG-TSRPN-A2BEB

NetLimiter 4
Registration Name:  Vladimir Putin #2
Registration Code:  XLEVD-PNASB-6A3BD-Z72GJ-SPAH7

https://www.netlimiter.com/download
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iolloyd

* Script to record and tag spotify tracks, by Lloyd Moore *)
(* Make sure you are already recording in Audio Hijack Pro with a session called 'spotifySession' *)

tell application "Spotify"
	set currentTrack to (current track)
	set trackName to (name of currentTrack)
	tell application "Audio Hijack Pro"
	    set theSession to my getSession()
	end tell
	repeat

tiffanygwilson

(* Script to record and tag spotify tracks, by Lloyd Moore *)
(* Modified by Tiffany G. Wilson to resolve audio splitting issues, automate starting/stopping, and add recording customization *)
(* Snippets for controlling Spotify are from Johnny B on tumblr (http://johnnyb.tumblr.com/post/25716608379/spotify-offline-playlist) *)
(* The idea of using delayed tagging/filename updating is from a guest user on pastebin (http://pastebin.com/rHqY0qg9) *)
(* The only thing to change in the script is the output format; you must change the file extension and the recording format to match *)
(* Run this script once a song you want to record is queued (stopped at beginning) or playing *)
(* Running the script will initiate hijacking, recording and audio playback *)
(* To stop script, pause Spotify or wait for album/playlist to end*)
(* To set id3 tags, use application Kid3 (http://sourceforge.net/projects/kid3/) and copy '%{artist} - %{album} - %{track} - %{title}' from file name to Tag 2 *)

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.

LuisPalacios

#!/usr/bin/env python3
# By LuisPa 2024
# Copiar en /usr/bin/arsys_update.py
#
# Este script modifica la IP de mi servidor en mi dominio en internet.
# Recibo una IP dinámica y necesito actualizarla cada vez que reconecto.
#
#
# Conjunto de tres ficheros
# /etc/systemd/system/arsys_update.timer

Lethality5001

How Come?

So...Why is it a true one? Everyone might have seen other packs or whatever. Well this one is a simple "plug in and play". Everything has been tested by me doing the entire story from beginning to end including the side missions. The main proper reason for creating and uploading this is being tired of constant people and youtubers claiming like they did a modpack only to leave you out to install 500 mods that may or not be compatible with everything and then leave you to find out the issues...And above all that..They dont even TEST their packs. PLEASE READ EVERYTHING DOWN BELOW.

What does it include?

I probably wouldn't be listing the entire accurate list because i made this pack a while ago for myself only, prioritizing a complete pack that keeps the vanilla experience intact without goofy changes

k16shikano

name	cognitive-rhythm-writing
description	説明的な文章に緩急を設計するための規範。緩急を装飾ではなく認知モードの切替（観察→逡巡→断定→再観察）と未回収の緊張の管理として扱い、文の拍、段落の密度波形、節の入り方、緩みと駄文の判別、執筆後の機械的な点検手順を定める。読み物として読ませたい章・記事・解説文を生成するとき、または「密度はあるが平坦でおもしろくない」文章を診断・修正するときに使用する。

認知リズムを生むための日本語ライティング規範

密度の高い文章が退屈になるのは、情報が多いからではなく、全文が同じ認知モードで書かれているからである。 この規範は、読者の認知モード（観察する、迷う、確信する、確かめ直す）を意図的に切り替え、常に「続きを読む理由」を維持することで、読み進める推進力を作る。

markasoftware

############ If you are using DOCKER all-in-one image, create Dockerfile like:         ################
############ FROM openproject/openproject:16                                           ################
############ COPY ./enterprise_token.rb app/models/enterprise_token.rb                 ################

############ If you are runing a manual installation:                                  ################
############ REPLACE app/models/enterprise_token.rb in the source code with this file! ################
############ also be sure to RESTART OpenProject after replacing the file.             ################

############ If using some other set up (eg docker-compose), read the comments on      ################
############ https://gist.github.com/markasoftware/f5b2e55a2c2e3abb1f9eefcdf0bfff45    ################

mnabila

In some cases, only these lines will work

for product in IntelliJIdea WebStorm DataGrip PhpStorm CLion PyCharm GoLand RubyMine; do
    rm -rf ~/.config/$product*/eval 2> /dev/null
    rm -rf ~/.config/JetBrains/$product*/eval 2> /dev/null
done

But if not, try these

k16shikano

name	japanese-tech-writing
description	日本語の技術文書・書籍原稿の文章規範。整形（一文一行、引用ブロック、脚注、コラム記法）、段落と論証の構成（パラグラフライティング）、論証の厳密さ（ツッコミどころの除去）、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。

日本語技術文書の文章規範

日本語で技術的な原稿（書籍の章、記事、解説文）を書く・推敲するときは、以下の規範に従う。

整形