Предлагаю для тестирования скрипт, предназначенный для восстановления работоспособности нативного WireGuard.
- Jc — количество рандомных пакетов
- Jmin — минимальный размер рандомного пакета
| /* | |
| * Copyright 2026 Georgiopoulos Kyriakos | |
| * | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software |
| # Typst Complete Feature Summary | |
| Comprehensive summary of all Typst features for LLM-based document formatting | |
| Generated: 2025-10-27T18:03:57.336Z | |
| Typst Version: 0.14.0+ | |
| ================================================================================ | |
| ## Table of Contents |
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
Tired of slop? This is a uBlock Origin filter list that nukes the Reels tab, non-follower posts, and ALL video content from the platform. I'm trying to make Instagram be what my parents said Facebook was.
If you scroll past your friend's posts, this is what you get:
This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.
Update: I've disabled comments as of 2025-01-26 to avoid everyone having notifications for something a year on if someone wants to suggest a correction. Folks are free to email to suggest corrections still, of course.
Prompts to recreate each piece of the OpenClaw system. Use these with any AI coding assistant.
1. Personal CRM "Build a personal CRM that automatically scans my Gmail and Google Calendar to discover contacts from the past year. Store them in a SQLite database with vector embeddings so I can query in natural language ('who do I know at NVIDIA?' or 'who haven't I talked to in a while?'). Auto-filter noise senders like marketing emails and newsletters. Build profiles for each contact with their company, role, how I know them, and our interaction history. Add relationship health scores that flag stale relationships, follow-up reminders I can create, snooze, or mark done, and duplicate contact detection with merge suggestions. Link relevant documents from Box to contacts so when I look up a person, I also see related docs."
2. Meeting Action Items (Fathom)