The purpose of this document is to make recommendations on how to browse in a privacy and security conscious manner. This information is compiled from a number of sources, which are referenced throughout the document, as well as my own experiences with the described technologies.
I welcome contributions and comments on the information contained. Please see the How to Contribute section for information on contributing your own knowledge.
| 약자 | 한국정보과학회 (2024) | BK21플러스 IF (2018) | KAIST CS (2025) | SNU CSE (2024.4) | POSTECH CSE (2026.1) | 평균 (정규화) | 학회명 | DBLP Key | |
|---|---|---|---|---|---|---|---|---|---|
| AAAI | 최우수 | 4 | O | O | 최우수 | 1.00 | AAAI Conference on Artificial Intelligence (AAAI) | conf/aaai | |
| AAMAS | 우수 | 2 | 0.20 | International Conference on Autonomous Agents and Multiagent Systems (AAMAS) | conf/ifaamas | ||||
| ACCV | 우수 | 1 | 우수 | 0.25 | Asian Conference on Computer Vision (ACCV) | conf/accv | |||
| ACL | 최우수 | 4 | O | O | 최우수 | 1.00 | Annual Meeting of the Association for Computational Linguistics (ACL) | conf/acl | |
| ACL Findings | 우수 | 우수 | 0.20 | Findings of ACL | series/findacl | ||||
| ACNS | 우수 | 0.10 | International Conference on Applied Cryptography and Network Security (ACNS) | conf/acns | |||||
| ACSAC | 우수 | 2 | 우수 | 0.30 | Annual Computer Security Applications Conference (ACSAC) | conf/acsac | |||
| AIED | 우수 | 0.10 | International Conference on Artificial Intelligence in Education (AIED) | conf/aied | |||||
| AISTATS | 우수 | 1 | 우수 | 0.25 | International Conference on Artificial Intelligence and Statistics (AISTATS) | conf/aistats |
| How did you find this place? | |
| You had the coordinates for this facility marked on your map. Where did you get them? | |
| How did you find us? | |
| All here, Mr Cooper. Plenty of slaves for my robot colony. | |
| I have a cue light I can turn on when I’m joking, if you like. | |
| You can use it to find your way back to the ship after I blow you out the airlock. | |
| One hundred percent. | |
| Ninety percent. | |
| Absolute honesty isn’t always the most diplomatic, or safe form of communication with emotional beings. | |
| Eight months to Mars, then counter-orbital slingshot around. |
| AccessModifierOffset: -2 | |
| AlignAfterOpenBracket: BlockIndent # New in v14. For earlier clang-format versions, use AlwaysBreak instead. | |
| AlignConsecutiveMacros: false | |
| AlignConsecutiveAssignments: false | |
| AlignConsecutiveDeclarations: false | |
| AlignEscapedNewlines: DontAlign | |
| AlignOperands: false | |
| AlignTrailingComments: false | |
| AllowAllArgumentsOnNextLine: false | |
| AllowAllConstructorInitializersOnNextLine: false |
This is a guide for how to get Touhou Puppet Dance Performance on the Steam Deck.
These instructions can also be adapted to play on any Linux PC.
This guide will walk through the process to run any of the following:
| MIT License | |
| Copyright (c) 2020 Rithvik Vibhu | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: |
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.
##How To Reset Your Github Fork
Let’s say I want to contribute to a project on github. The project repository is at wp-cli/wp-cli. First I fork it, and then clone the resulting repository, scribu/wp-cli:
git clone --recursive git@github.com:scribu/wp-cli.git
cd wp-cli
Now, I make some commits to master, push them to my fork and open a pull request. Piece of cake:
git commit -m "awesome new feature"
| ' Disables Vanguard from starting when you boot your computer | |
| Call CreateObject("Shell.Application").ShellExecute("cmd.exe", "/c ""sc config vgc start= disabled & sc config vgk start= disabled""", "", "runas") |