The gaming industry has reached a pivotal moment—its own "GPT moment." On January 30, 2026, Google’s release of Genie 3 marked a turning point: a world model capable of generating real-time, interactive video with consistent physics and responsive gameplay. For the first time, AI didn’t just render a scene—it simulated a living world where users could control a character using standard WASD inputs, with coherent movement, environmental reactions, and cause-and-effect logic. While Google provided the foundational "engine" for this new era, the real challenge lies in transforming a stochastic video generator into a scalable, reliable game platform. That’s where LinearGame, a startup with deep roots in Silicon Valley and Singapore, steps in with its innovative platform, Yoroll.ai. The company is pioneering a radical new paradigm: the "engine-less" game. Unlike traditional development, which relies on heavy 3D engines like Unity or Unreal to simulate geometry, lighting, and physics, Yoroll.ai bypasses simulation entirely. Instead, it uses AI-generated video as the primary rendering layer—creating dynamic, immersive worlds without the need for complex asset pipelines or physics calculations. The secret to its stability lies in a proprietary Three-Layer Architecture designed to combat the persistent issue of AI hallucination—the tendency for generated content to drift off track over time. At the core is the Expression Layer, powered by advanced world models such as Google’s Genie 3 or LinearGame’s own Roll-01. This layer generates the real-time visuals and immediate physical responses—like a character’s jump, a projectile’s arc, or the ripple from a splash—delivering fluid, lifelike motion. But visual fidelity isn’t enough. Enter the Judgment Layer, a real-time AI "referee" built on a Vision-Language Model (VLM). This layer continuously analyzes the video stream to detect key game events: Did the player dodge the enemy’s attack? Did they pick up the glowing key? It translates ambiguous visual data into precise, actionable game logic, ensuring consistency across sessions. Finally, the State Layer maintains the game’s core mechanics using a traditional, deterministic database. Health points, inventory, dialogue choices, and branching storylines are stored and managed separately from the visuals. This means even if the AI generates a minor visual glitch—like a floating object—the player’s progress remains intact and reliable. Rather than targeting AAA action titles, Yoroll.ai is focusing on a niche with massive potential: interactive cinematic experiences. The platform enables creators to turn simple text prompts, photos, or short video clips into branching, narrative-driven adventures—similar in style to Black Mirror: Bandersnatch, but with near-infinite replayability and dramatically lower production costs. The economic impact is transformative. LinearGame estimates that its AI-driven workflow reduces production costs to just 1/100th of traditional interactive film projects. Where a single episode once required a team of dozens and years of development, a creator can now build a full interactive story with just 1–3 people in a matter of weeks. This shift is poised to spark a "Roblox moment" for storytellers—empowering TikTok creators, indie filmmakers, and digital artists to become game designers without needing coding skills or expensive tools. As Genie 3 stabilizes the technical foundation of world models, platforms like Yoroll.ai are building the missing infrastructure to turn AI-generated worlds into a new form of entertainment. We are entering an era where the line between watching and playing dissolves—and where the next viral game might be born not from code, but from a single prompt.