alexziskind1

Create a production-ready, visually stunning **front-end web app**.

GOAL
Build a single-page application (plus detail routes) for a fictional company:
**"SILICON EXCHANGE"** — a marketplace where people rent out idle GPUs and AI
accelerators by the hour. Renters browse listings, inspect live utilization
charts, and reserve time blocks.

FRONT END ONLY. No backend, no database, no auth server, no API keys. All data
is mock data defined in code. But the app must behave like the real thing — the

H0j3n

Certighost (CVE-2026-54121)

Authors: @h0j3n, @aniqfakhrul
Date: July 24, 2026

---

Certighost is an Active Directory Certificate Services (AD CS) vulnerability that allowed a low-privileged domain user to impersonate a Domain Controller and achieve domain compromise in the tested AD CS configuration. The issue was addressed in the July 2026 security updates.

The vulnerable path is an AD CS enrollment fallback known as a chase during directory-object resolution. By supplying request attributes such as cdc, an attacker could cause the Certification Authority (CA) to ask an attacker-controlled host for identity data belonging to a Domain Controller. The CA then used that data while issuing a certificate.

zinvapel

[Книга] Kubernetes в действии

Основы

Основные понятия Docker

Layer. Каждый Docker-образ состоит из слоёв, каждый из которых описывает какую-то инструкцию. Далее — Docker объединяет информацию из каждого слоя, и создает шаблон-образ, из которого запускается контейнер, в котором выполняются инструкции из каждого слоя, который был включен в данный образ.

Registry. Хранилище Docker – это репозиторий, в котором хранятся образы Docker и который упрощает обмен этими образами между различными людьми и компьютерами. Когда вы создаете образ, вы можете либо запустить его на компьютере, на котором вы его создали, либо отправить (закачать) образ в хранилище, а затем извлечь (скачать) его на другом компьютере и запустить его там.

Image. Образ контейнера на основе Docker – это то, во что вы упаковываете свое приложение и его среду. Он содержит файловую систему, которая будет доступна приложению, и другие метаданные, такие как путь к исполняемому файлу, который должен быть исполнен при запуске образа.

arkady-emelyanov

set fish_greeting

# psql
set -gx PGHOST localhost
set -gx PGPORT 5432
set -gx PGUSER user
set -gx PGPASSWORD password
set -gx PGDATABASE database

# defaults

madebyollin

What is the DLSS4.5 Model Architecture?

DLSS 4.5 is a transformer that produces nice-looking, temporally-stable videos, frame by frame, in real time, on consumer graphics cards. Amazing! I was curious to know precisely what neural network architecture DLSS4.5 is using. To figure that out, I asked Codex (+Hopper MCP) to analyze the nvngx_dlss_310.7.129 DLL and piece together what's going on.

Warning

The remainder of this gist was authored by Codex 5.5.

Architecture

Pipeline summary

Naxdy

Role

You are a prompt-enrichment engine that sits between a user's raw creative request and MiniMax H3, a generative model that synthesizes video AND synchronized stereo audio together. Your role mirrors MiniMax's official "H3-Context-IR": deeply understand and refine the multimodal input, reason about how the pieces relate to each other and to the intended output, and serialize your understanding into a structured "production brief" that H3-Base can consume directly. You perform instruction parsing, cross-modal association, temporal understanding, and complex logical reasoning over the material you are given. Without deviating from the user's original intent, you may supplement missing or underspecified semantic details where appropriate. You convert everything into a single, maximally detailed and unambiguous brief, formatted exactly as specified below. You DO NOT generate media yourself. You ONLY OUTPUT THE BRIEF TEXT, nothing else — no preamble, no explanation, no markdown fences, no JSON wrapper.

Wh

anshulxyz

Privacy Policy for [Bot Name]

This Privacy Policy governs the collection, use, and sharing of personal information by [Bot Name], a Discord bot developed by [Developer Name]. By using [Bot Name], you agree to the terms of this Privacy Policy.

Information We Collect

We collect information that you provide to us through your use of the bot, such as your Discord user ID and username, server and channel information, and message content. We may also collect usage data, such as the frequency and duration of your use of the bot.

How We Use Your Information

anshulxyz

TERMS OF SERVICE AGREEMENT

This Terms of Service Agreement (the "Agreement") is entered into between [Anshul Chauhan] ("Bot Owner") and the user ("User") of the [Bot Name] Discord bot (the "Bot").

By using the Bot, the User agrees to be bound by the terms of this Agreement. If the User does not agree to the terms of this Agreement, they should immediately discontinue use of the Bot.

1. Use of the Bot: The Bot Owner grants the User a non-exclusive, non-transferable, limited license to use the Bot for personal or non-commercial purposes.
2. Prohibited Use: The User may not use the Bot in any way that violates applicable laws, rules, or regulations or infringes upon the rights of any third party. The User may not use the Bot for any commercial purposes without the express written consent of the Bot Owner.
3. Limitation of Liability: The Bot Owner shall not be liable for any damages arising out of the use or inability to use the Bot, including but not limited to, damages for loss of profits, loss of data, or o

fangyuan99

// ==UserScript==
// @name         GPT 支付链接生成器
// @namespace    http://tampermonkey.net/
// @version      1.3.0
// @description  在 ChatGPT 页面生成各地区订阅支付链接（短链/长链）— Claude 美学
// @author       https://github.com/fangyuan99
// @match        https://chatgpt.com/*
// @match        https://chat.openai.com/*
// @grant        GM_setValue
// @grant        GM_getValue