Ever wanted to play Counter-Strike in a neural network? These videos show people playing (with keyboard & mouse) in 💎 DIAMOND's diffusion world model, trained to simulate the game Counter-Strike: Global Offensive. 💻 Download and play it yourself → github.com/eloialonso/dia… 🧵

We were very impressed by the recent DOOM #GameNGen from Google, which inspired us to apply DIAMOND to CS:GO (first made public for Atari in May arxiv.org/pdf/2405.12399). Our CS:GO world model runs at ~10 FPS on a standard gaming GPU (RTX 3090). (2/n)

Try 💎 DIAMOND’s Counter Strike world model directly in your browser! → next.journee.ai/xyz-diamond ← How long can you stay in distribution? Can you beat Stéphane Liem Nguyen’s 1000 frames? Adam Jelley and I are at NeurIPS! Poster #6306, Friday 11am-2pm, West Ballroom

With the awesome Ramón Calvo, Daniele Paliotta, Matteo Pagliardini, and Martin Jaggi. Faculty of Science | UNIGE EPFL Computer and Communication Sciences TL;DR: you can shuffle the middle layers of a transformer without retraining it. We take advantage of that to compute layers in parallel. arxiv.org/abs/2502.02790