ruvnet

300+ Cinematic Sora Video Prompts

Introduction to Cinematic Sora Video Prompts

Welcome to the Cinematic Sora Video Prompts tutorial! This guide is meticulously crafted to empower creators, filmmakers, and content enthusiasts to harness the full potential of Sora, an advanced AI-powered video generation tool.

By transforming textual descriptions into dynamic, visually compelling video content, Sora bridges the gap between imagination and reality, enabling the creation of professional-grade cinematic experiences without the need for extensive technical expertise.

What This Tutorial Offers

TheUnrealZaka

✨ Welcome to TheUnrealZaka's Guide for Hiding Root Detections!

Using KernelSU-Next + SuSFS

⚠️ Disclaimer: This guide is provided solely for educational purposes. The creator assumes no responsibility for any damage, data loss, or other adverse effects that may occur as a result of following these instructions. Proceed entirely at your own risk!

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📖 Introduction

Many users who have rooted their devices finds issues where system or third-party applications detect the root status and refuse to operate. This guide outlines a procedure to hide root detection on the majority of Android devices, specifically the ones running Noble ROM for Samsung S9/S9+/N9. The approach detailed here leverages KernelSU-Next in conjunction with SuSFS.

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.

Code-Gym

sirredbeard

diff --git a/src/windows/service/exe/WslCoreVm.cpp b/src/windows/service/exe/WslCoreVm.cpp
index d5d6ab26..afbfc2c9 100644
--- a/src/windows/service/exe/WslCoreVm.cpp
+++ b/src/windows/service/exe/WslCoreVm.cpp
@@ -1504,38 +1504,30 @@ std::wstring WslCoreVm::GenerateConfigJson()
         vmSettings.ComputeTopology.Memory.HostingProcessNameSuffix = wsl::windows::common::wslutil::c_vmOwner;
     }
 
-    // If nested virtualization was requested, ensure the platform supports it.
+    // If nested virtualization was requested, expose the host's virtualization extensions.

thewhiteh4t

#!/usr/bin/env python3

'''
Solution for : Username enumeration via response timing
https://portswigger.net/web-security/authentication/password-based/lab-username-enumeration-via-response-timing
'''

import time
import random
import requests

gilangvperdana

General

I just want to deploy an Openstack Caracal Version (you can follow the update of Openstack Release on here) on my Ubuntu Jammy as LAB. I do on VirtualBox. You can see my previous article here, i just deploy Openstack Xena on Ubuntu Focal in Cloud/VM.

Goals

• I want to deploy single node with all role of Openstack (Management & Compute) Caracal on branch Master on top of Ubuntu Jammy (22.04LTS) on VirtualBox
• I want to access with FQDN os.test.link for External & osint.test.link for Internal FQDN
• I want to use secondary Disk for VM Volumes (Cinder)
• I want to makesure all service call with TLS

chapterthreee

import json
import os
import sys
import getpass
from datetime import datetime, timezone

import praw
from praw.models import MoreComments