hk66tw559c-wq

local cloneref = cloneref or function(object) return object end
local Players           = cloneref(game:GetService("Players"))
local ReplicatedStorage = cloneref(game:GetService("ReplicatedStorage"))
local RunService        = cloneref(game:GetService("RunService"))
local TweenService = cloneref(game:GetService("TweenService"))
local UserInputService  = cloneref(game:GetService("UserInputService"))
local HttpService       = cloneref(game:GetService("HttpService"))
local player = Players.LocalPlayer
local playerGui = player:WaitForChild("PlayerGui")

king-robe-degree

Valhalla Unlock Tool

Valhalla Unlock Tool is an Android device servicing utility designed for technicians and advanced users who perform authorized device maintenance, software diagnostics, firmware operations, and supported unlocking workflows.

Get Valhalla Unlock Tool

The tool can serve as a centralized interface for working with compatible Android devices through supported communication modes and servicing procedures.

⚠️ Disclaimer: Unlocking or modifying a device can erase data, affect warranty status, or make the device unusable if performed incorrectly. Only work on devices you own or are explicitly authorized to service.

✨ Features

herohua

LangGraph Responses Hosting: Steering Semantics

ResponsesHostServer already supports end-to-end steering through the Azure Agent Server task runtime:

1. A new POST /responses request targeting an active steerable conversation is queued.
2. The active turn receives a cooperative cancellation signal.
3. LangGraph stops at the next stream boundary and persists its checkpoint.
4. The queued input is promoted and runs as a new turn with is_steered_turn=True.

The remaining semantic issue is the terminal status of the interrupted response. The current implementation emits response.completed after steering. If the graph stopped before naturally exhausting its output, the more accurate Responses protocol representation is:

rewatlok

class Sparse_table_max {
private:
    int N, K;
    vector<vector<int>> Stable;
    vector<int> LOG2;
public:
    Sparse_table_max(const vector<int>& vec) {
        this->N = (int)(vec.size());
        this->K = log2(N) + 2;

gitbeeru

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.

SpeedyCoder1192

sudo apt update && sudo apt upgrade -y && cd ~ && mkdir server && cd server && sudo apt install zip unzip wget -y && wget https://www.minecraft.net/bedrockdedicatedserver/bin-linux/bedrock-server-1.26.51.1.zip && unzip bedrock-server-1.26.51.1.zip && cd bedrock-server-1.26.51.1.zip/ && LD_LIBRARY_PATH=. ./bedrock_server

eloredo413-hue

-- [[ ULTIMATE 2010 ROBLOX LOOK - FULL SCRIPT (SMOOTH CHAT BUBBLES) ]]
-- [[ TEXTCHATSERVICE CHAT ]]
-- [[ LOCAL-ONLY CLASSIC CHAT BUBBLE ]]
-- [[ CUSTOM BUBBLE FOR LOCALPLAYER + OTHER PLAYERS ON THIS CLIENT ]]
-- [[ NO LEGACY CHAT FALLBACK ]]
--========================================================
-- CLEANUP
--========================================================
if _G.CustomHealthESP_Connections then
	for _, conn in pairs(_G.CustomHealthESP_Connections) do

SawFowl

[2026-09-20 18:00:42.003] pid=368 !CompaSSE shim version 1.5.2
[2026-09-20 18:00:42.003] pid=368 install_hooks: CreateFileW ok
[2026-09-20 18:00:42.003] pid=368 install_hooks: CreateFileA ok
[2026-09-20 18:00:42.003] pid=368 install_hooks: CreateFile2 ok
[2026-09-20 18:00:42.003] pid=368 install_hooks: CreateFileMappingW ok
[2026-09-20 18:00:42.003] pid=368 install_hooks: OpenFileMappingW ok
[2026-09-20 18:00:42.003] pid=368 install_hooks: CreateFileMappingA ok
[2026-09-20 18:00:42.003] pid=368 install_hooks: OpenFileMappingA ok
[2026-09-20 18:00:42.003] pid=368 install_hooks: MapViewOfFile ok
[2026-09-20 18:00:42.003] pid=368 install_hooks: GetProcAddress ok

t4rik

## Fontra Pak Ubuntu 22.04 build vs Ubuntu 24.04 build
Fontra Pak Ubuntu 22.04 build (using in Fontra Pak Workflow) vs Ubuntu 24.04 build.
- FontraPak v2026.9.1dev is revert Force XCB in Gnome Wayland (added in v2026.9.0)
- Starting with **Qt 6.5.0**, applications using the **XCB platform plugin** on Linux require the **`libxcb-cursor0`** (Debian/Ubuntu) or **`xcb-util-cursor`** (Red Hat/Fedora) package to handle mouse cursor functionalities. This dependency is necessary even on **Wayland** systems if the application attempts to load the XCB plugin, which can happen with certain desktop environments like **KDE Plasma** or when running X11-based GUI tools.

### FontraPak v2026.9.0 (Ubuntu 22.04 build) in Ubuntu 24.04

FontraPak v2026.9.0 (Force XCB in Gnome Wayland)
```bash
tarik@ubuntu2404:~/Downloads/FontraPak-Ubuntu_v2026.9.0$ ./fontrapak

Johnpaul464

-- =========================================================================
-- 🇵🇭 COMBINED DELTA & PH DEV SCRIPT HUB + SHIFTGUARD & UTILITIES 🇵🇭
-- =========================================================================

local Players = game:GetService("Players")
local RunService = game:GetService("RunService")
local UserInputService = game:GetService("UserInputService")
local CoreGui = game:GetService("CoreGui")
local TweenService = game:GetService("TweenService")
local TextChatService = game:GetService("TextChatService")