Alex M0nteCarl0

autoexp — Autonomous Experimentation Loop

Generalized from Karpathy's autoresearch. Same loop, any domain.

The Idea

An AI agent runs an infinite hill-climbing loop: modify → run → measure → keep or revert → repeat. No human in the loop. Wake up to a TSV of completed experiments.

Зайти во вкладку "сообщества" (https://vk.com/groups)
Открыть консоль разработчика (обычно F12)
Мы будем вставлять скрипт через CTRL+V для этого иногда нужно прописать в консоли "allow pasting"
Вставить следующий скрипт

const links = document.querySelectorAll('a.ui_actions_menu_item');
links.forEach(link => {
  if (link.textContent === 'Отписаться' || link.textContent === 'Unfollow') {
    link.click();
 }

LCM LoRAs + Accelerate with OpenVINO = 33x Speed

The struggle itself toward faster Stable Diffusion is enough to fill a man's heart. One must imagine potato laptop users happy.

This Gist accompanies my Reddit post (33x Speed on Potato Laptops with OpenVINO and LCM LoRAs) and explains how I got the 33x number on my potato laptop. I also included some notes and images from using LCM with OpenVINO in Stable Diffusion WebUI.

Pwntools Cheatsheet

Program Interaction
Environment and Contexts
Logging and Output
Encoding, Packing and Utility
Assembly and Shellcraft
ELFs, Strings and Symbols
Return Oriented Programming
SROP and Sigreturn Frames

Prepare the host

Get the image clear-XXXXX-kvm.img

wget https://download.clearlinux.org/releases/30080/clear/clear-30080-kvm.img.xz
unxz clear-30080-kvm.img.xz

Add intel_iommu=on to the kernel boot parameters

mkdir mount_dir

Learn how to convert TTF to WOFF using C#: https://blog.aspose.com/2022/03/15/convert-ttf-to-woff-using-csharp/

The following topics are covered in this article:

C# TTF to WOFF Converter API
Convert TTF to WOFF using C#
Convert TTF to WOFF2 in C#

Concurrency and Synchronization using Modern C++

Thread Management

Each running program has at least one thread which is occupied by its entry point. There can be many threads for a single program and the memory is shared among all threads. The objects possessed by the main thread (and shared by other threads as a reference to it) would be destroyed as soon as they go out of scope. This might lead to corrupt memory access by the rest of the threads.

Hence, sometimes, it's very important to make sure that all the threads are joined using std::thread::join() before the main thread terminates. Other times, you basically want a daemon thread running in background even after the termination of main thread and that can be achieved by calling std::thread::detach(), but it may or may not be possible to join a detachable thread.

Resource Acquisition Is Initialization (RAII) is a famous programming idiom in C++ (a misnomer actually) also (better) known and understood as **Scope-Bound Resource Managemen

	#include <iostream>

	// Base class using CRTP
	template <typename Derived>
	class Base {
	public:
	void doSomething() {
	static_cast<Derived*>(this)->implementation();
	}

	REM Delete eval folder with licence key and options.xml which contains a reference to it
	for %%I in ("WebStorm", "IntelliJ", "CLion", "Rider", "GoLand", "PhpStorm", "Resharper", "PyCharm") do (
	for /d %%a in ("%USERPROFILE%\.%%I*") do (
	rd /s /q "%%a/config/eval"
	del /q "%%a\config\options\other.xml"
	)
	)

	REM Delete registry key and jetbrains folder (not sure if needet but however)
	rmdir /s /q "%APPDATA%\JetBrains"