Cheating in online video games compromises the integrity of gaming experiences. Anti-cheat systems, such as VAC (Valve Anti-Cheat), face significant challenges in keeping pace with evolving cheating methods without imposing invasive measures on users' systems. This paper presents AntiCheatPT\_256, a transformer-based machine learning model designed to detect cheating behaviour in Counter-Strike 2 using gameplay data. To support this, we introduce and publicly release CS2CD: A labelled dataset of 795 matches. Using this dataset, 90,707 context windows were created and subsequently augmented to address class imbalance. The transformer model, trained on these windows, achieved an accuracy of 89.17\% and an AUC of 93.36\% on an unaugmented test set. This approach emphasizes reproducibility and real-world applicability, offering a robust baseline for future research in data-driven cheat detection.

While visiting HP's Omen gaming exhibit at the company's Amplify Conference in Nashville Tennessee this week, I realized something: I've been optimizing my PC's performance for Counter-Strike 2 all wrong! What I'm doing is painstakingly combing through my hardware settings, OS settings, and game settings in a confusing and sometimes panic-ridden mind muddle in the hope I'll achieve an actual uplift in FPS. That's where HP's Omen AI comes in. Originally unveiled at CES 2025 Las Vegas last January, Omen AI made another appearance at the conference in Nashville, this time showing off some impressive FPS gains on both laptops and desktop PCs. In one of the promotional videos, Omen AI boosted a laptop's performance from 82 FPS to 111 FPS.

Neuralink has published an update on the second patient in its early human trials, and it said that "promisingly," it has "observed no thread retraction" in the participant. The Elon Musk-led startup implants a chip into the human brain, allowing paralyzed patients to control devices, browse the internet and play video games with their thoughts. It implanted a chip into its first patient back in January, and while the procedure went well, some of the implants' connective threads retracted from the brain weeks later. That reduced the brain signals the device could receive. For its second patient called Alex, the company employed mitigation measures to prevent the same thing from happening, or at least lower its probability.