Urgent.News

What's breaking now, across thousands of outlets.

Tech

I added October-appropriate zombies to Grand Theft Auto 5

Brains, and so on.

I added October-appropriate zombies to Grand Theft Auto 5

In a surprising move, a modder has injected Halloween-appropriate zombies into the popular game Grand Theft Auto 5. The mod, named ZombieInfection, transforms the already bustling coastal city of Los Santos into a terrifying battleground where the living dead roam the streets. As they come into contact with other players, they transform them into more undead followers, creating a rapidly expanding army of reanimated corpses.

Although the undead prove to be vulnerable to natural disasters and other city threats, their sheer numbers and slow movement make them more of a nuisance than a genuine threat. The modder, who is known for his daily mods, emphasizes the power of exponential growth as the zombie population rapidly increases. Even invincible characters like Franklin are not immune to the undead menace, as they can still be harmed by prolonged contact. As the Halloween season approaches, the mod adds a fitting spooky twist to an already iconic game.

Written by urgent.news from PC Gamer's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

This story

This is one outlet's version. Read the fullest account.

Read the original at pcgamer.com →

More in Tech

I built my own operating system that runs in the browser (NebulaOS)

Most portfolios are a scroll of sections. Mine is an operating system. For Hack Club's WebOS 1 workshop I built NebulaOS, a personal OS that runs entirely in your browser.

  • NebulaOS is a browser-based OS for Hack Club's WebOS 1 workshop
  • Features include window manager, apps, file system, personalization options
  • Built with React, TypeScript, Vite, and deployed via GitHub Actions

How many samples does a false-positive budget need?

Pick a detector, run it over some benign traffic, and choose a threshold. Usually the threshold is an order statistic of the benign scores — the k-th largest, or a quantile — and you report something…

  • Approximately 149 benign samples needed for 95% confidence interval of 2% false-positive rate
  • 1,000–2,000 paired attacks required to detect 2-point difference with 80% power

More from Friday 2 October →