World Models: The Real Path to AI Game Creation
Google DeepMind's journey from Genie 1 (learning from unlabeled videos) to Genie 2 (interactive 3D worlds from images) shows us the future. Runway's Gen-3, Meta's Make-A-Video, and others are racing toward the same goal. When the next generation arrives with real-time generation at higher resolutions, gaming changes forever. We're building for that moment.
What Are World Models?
Traditional game engines simulate physics explicitly. Calculate forces. Update positions. Check collisions. Render results.
World models learn physics implicitly. They've seen millions of hours of video. They know objects fall. Water flows. Light bounces.
These models don't simulate worlds - they dream them into existence, frame by frame, maintaining consistency through learned priors about how reality works. The next generation will bring real-time world models that respond instantly.
Why This Changes Everything
Current Game Development
- Design mechanics
- Code physics
- Create assets
- Test endlessly
- Ship eventually
World Model Development
- Describe world
- Navigate and test
- Ship immediately
The difference isn't incremental. It's categorical.
The Technical Reality
Future world models like an anticipated Genie 3 could generate worlds at 24fps or higher for extended periods. Here's what that would mean:
Text prompt → Latent space encoding →
Frame generation → Consistency enforcement →
Interactive output
Each frame considers:
- Previous frames (temporal consistency)
- User input (interactivity)
- Physics priors (learned realism)
- Scene understanding (spatial consistency)
They won't run physics. They'll predict what physics would produce.
Today's Limitations, Tomorrow's Breakthroughs
Current limitations
- Runs for minutes, not hours
- 720p, not 4K
- Requires datacenters
- Not publicly available
What's improving
- Context windows (minutes → hours)
- Resolution (720p → 4K)
- Efficiency (datacenters → local)
- Availability (research → production)
Every limitation is temporary. Every improvement compounds.
How Rosebud Uses World Models
We don't wait for perfect. We compose what works:
Today
- Veo 3 for cinematics
- Stable Diffusion for assets
- GPT-4 for game logic
- Three.js for runtime
Tomorrow
- Genie 2 for world generation
- Neural rendering for graphics
- Custom models for game mechanics
- Everything in browsers
The platform that adapts fastest wins. JavaScript adapts instantly. Learn more about our text-to-game approach.
The Compound Effect
World models plus vibe coding equals something new:
// Current Rosebud "Make a platformer with floating islands" → Generated code + assets + logic // With world models "Make a platformer with floating islands" → Playable world appears instantly → Tweak with "Make islands more mystical" → World regenerates maintaining game state
It's not just faster development. It's development becoming play.
Why Browser-Based Wins
When Genie 2's API ships, integration looks like:
// Rosebud integration: One day import { Genie3 } from '@deepmind/genie3'; const world = await Genie3.generate(prompt); scene.setWorld(world); // Unity integration: One year // Wait for Unity Technologies to negotiate, // integrate, test, and ship Unity 2026.3
Dynamic languages eat static languages when the underlying tech changes daily.
The AGI Connection
DeepMind says world models lead to AGI because they enable unlimited training environments for agents.
We say world models lead to democratized creation because they enable unlimited worlds for humans.
Same technology. Different lens. Both true.
What We're Building
Rosebud isn't just a game creation platform. It's the interface layer for world models.
- When Genie 4 ships with hour-long consistency, we'll use it
- When Odyssey adds multiplayer support, we'll integrate it
- When open source catches up, we'll run it locally
The models will improve. The interface - natural language to playable experience - remains constant.
Potential Timeline (Speculation)
Today: Genie 2 shows the foundation
2025: Next generation models (Genie 3?) could arrive
2026: Real-time world generation may become accessible
2027: Local inference potentially possible
Forever: Models keep improving
Each improvement makes every Rosebud creator more powerful. No downloads. No updates. Just better results from the same prompts.
Join the World Model Revolution
70,000 creators are already building with AI. When world models become publicly available, they'll be first to benefit. Explore real-time world models to understand the technical foundations.
The future isn't waiting for permission to build. It's building with what's available while preparing for what's coming.
Ready to Create Worlds?
Start creating at rosebud.ai