Product Introduction

1. Mirage is the world's first real-time generative engine for live user-generated content (UGC) gameplay, powered by AI World Models. It enables players to dynamically generate and modify entire game worlds during active playthroughs using text prompts, keyboard inputs, or controller actions. The system supports multiple genres and delivers playable demos like Urban Chaos (GTA-style) and Coastal Drift (Forza Horizon-style), which are fully generated on-the-fly without pre-scripted elements.
2. The core value of Mirage lies in its ability to transform static gaming experiences into evolving, player-driven simulations. By integrating transformer-based autoregressive diffusion models with real-time input processing, it creates sustained interactive sequences exceeding ten minutes while maintaining photorealistic visuals. This shifts game creation from expert-designed levels to dynamic, AI-powered environments that co-evolve with user actions.

Main Features

1. Mirage enables real-time UGC through natural language commands, allowing players to spawn vehicles, alter terrain, or expand structures mid-gameplay using text input. The system processes frame-level prompts through a customized causal Transformer model with KV caching, ensuring sub-100ms latency for instant world updates.
2. The engine delivers photorealistic visuals at 16 FPS in Standard Definition (SD), surpassing previous AI-generated systems limited to pixelated or blocky graphics. This is achieved through specialized visual encoders and a diffusion distillation strategy that balances rendering speed with high-fidelity output.
3. Mirage supports extended interactive sessions exceeding ten minutes through its vertical training pipeline, which ingests diverse game data and human-recorded gameplay to internalize game mechanics. The architecture combines long-context windows with a dynamic input system, enabling coherent world generation across racing, RPG, and platformer genres.

Problems Solved

1. Mirage addresses the static, finite nature of traditional games by replacing pre-authored levels with AI-generated environments that evolve during play. It eliminates reliance on scripted missions and fixed map layouts through its real-time world model, which dynamically integrates user inputs into the simulation.
2. The product targets gamers seeking infinitely replayable experiences and creators wanting to prototype game concepts without coding. Developers can leverage its cloud streaming infrastructure to deploy cross-platform interactive content without requiring local hardware upgrades.
3. Typical use cases include spontaneously generating escape routes during chase sequences, modifying racing track layouts mid-lap, or expanding open-world cities through voice commands. Content platforms can utilize Mirage for personalized gameplay loops, while educators might simulate historical environments through natural language prompts.

Unique Advantages

1. Unlike Google's Genie or Microsoft's AI Quake II, Mirage supports live UGC modifications during active gameplay rather than pre-generation. Its hybrid architecture combines transformer-based prediction with diffusion refinement, enabling both rapid response times (16 FPS) and high visual fidelity unmatched by pixel-based predecessors.
2. The system innovates through full-duplex cloud streaming that parallelizes input processing and visual output, achieving sub-200ms round-trip latency. This is enhanced by domain-specific training on curated gameplay datasets, which teach nuanced player behavior patterns absent in general-purpose AI models.
3. Competitive advantages include multimodal control (text/controller/keyboard), infinite scenario generation through probabilistic sampling, and a proprietary data recorder that captures high-quality human gameplay for model training. The team's expertise from Google, Nvidia, and Carnegie Mellon University ensures cutting-edge integration of LLM techniques with game-specific optimization.

Frequently Asked Questions (FAQ)

1. How does Mirage differ from other AI game engines like Genie? Mirage specializes in real-time co-creation during active gameplay, whereas Genie focuses on 2D level generation from static prompts. Our system combines autoregressive transformers with diffusion models to support live modifications and photorealistic 3D environments.
2. What hardware is required to run Mirage? No local installation is needed—Mirage operates entirely via cloud streaming, accessible through web browsers on PCs, consoles, or mobile devices. The engine requires 5 Mbps internet bandwidth for SD-quality streaming at 16 FPS.
3. Can players use voice commands instead of text input? The current version processes text input directly, but voice-to-text integration is planned for future updates. Users can already map controller buttons or keyboard shortcuts to common commands like "spawn car" or "add building."
4. How long can a Mirage gameplay session last? Sessions typically exceed ten minutes, with technical demonstrations showing stable performance up to 30 minutes. Duration limits are imposed only by cloud server availability, not inherent model constraints.
5. When will Mirage be publicly available? The research preview demos are accessible now, with commercial licensing options for developers under discussion. Follow @DynamicsLab_AI for updates on early access programs and SDK releases.