Core Viewpoint - Enigma Labs has developed the world's first AI-generated multiplayer game, Multiverse, which allows players to interact in a dynamically evolving world at a low development cost of under $1,500 [2][3]. Group 1: Game Development and Features - Multiverse is a multiplayer racing game where players can overtake, drift, and accelerate, reshaping the game world with each action [2][3]. - The game operates on a model that allows real-time interaction with an AI-simulated environment, filling a gap in AI-generated worlds [3][6]. - The development team plans to open-source all related research, including code, data, and architecture [3][8]. Group 2: Team Background - The team consists of former members of Israel's elite 8200 unit and experienced professionals from leading startups, specializing in research and engineering [5]. Group 3: Technical Architecture - The architecture of the multiplayer model builds upon existing single-player models, requiring a redesign of input and output connections to facilitate cooperative gameplay [12][14]. - The model integrates player actions and frame data to ensure a consistent shared world state, crucial for multiplayer interactions [14][15]. Group 4: Data Collection and Training - The training data for the model was sourced from Sony's Gran Turismo 4, with the team modifying the game to enable a 1v1 mode for data collection [39][41]. - The team utilized computer vision to extract control inputs from HUD elements displayed during gameplay, allowing for the reconstruction of player actions without direct input recording [46]. - A scalable method for data generation was implemented using the B-Spec mode, enabling automated race recordings from multiple perspectives [48]. Group 5: Model Training and Performance - The model was trained to predict future frames over varying time horizons, initially focusing on short-term predictions before extending to longer-term interactions [32][33]. - Efficient long-range training techniques were developed to manage memory constraints while maintaining performance [34][35].