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Pricing: Free
Verified: Yes
Rating: 4.3/5

Open-source AI world model by Decart and Etched that generates real-time Minecraft-style interactive gameplay at 20 FPS using next-frame prediction, with no traditional game engine required.

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AI Simulation

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Oasis is free to access. The browser-based demo is publicly available at no cost with no registration required. The open-source 500-million-parameter model weights and code are freely available on GitHub for local deployment. Decart does not currently charge for access to the demo or the model. Local deployment requires hardware capable of running the model, and the hosted demo runs on Decart's NVIDIA H100 GPU infrastructure.

PlanDetails
FreeFull browser-based demo accessible at no cost with no account required. Open-source 500M parameter model weights and code available on GitHub for free local deployment under the project's open-source license.
PaidNo paid tier. Oasis is a research project with no commercial subscription or access fee.

What is Oasis AI Game?

Quick Summary

Oasis is an AI-generated interactive world model developed jointly by Decart, an Israeli AI company, and Etched, a hardware startup, released publicly on October 31, 2024 as the first playable real-time AI-generated game environment operating without a traditional game engine. It uses next-frame prediction—a transformer-based architecture combining a Vision Transformer (ViT) encoder and a diffusion model—to generate physics, game rules, and visuals in real time at 20 frames per second, taking player keyboard and mouse inputs and predicting what the game world looks like after each action. Oasis was trained on millions of hours of Minecraft gameplay footage and is freely accessible via a browser demo and as an open-source 500-million-parameter model on GitHub.

Oasis is a generative world model developed by Decart and Etched that produces interactive, playable game environments in real time by predicting the next visual frame after each player input rather than executing pre-written game logic or rendering from static assets. The architecture uses a Vision Transformer to encode the current game state, a diffusion model to generate the next frame based on that state and the player's input, and a dynamic noising technique to maintain frame-to-frame visual stability. The result is a playable Minecraft-inspired environment where players move with WASD keys and mouse, jump, break blocks, pick up items, and interact with basic physics—all generated by the AI model on the fly at approximately 20 FPS. A Custom Worlds feature, released after the initial launch, allows users to upload their own starting image and have Oasis generate a playable game world derived from that image. The open-source release includes the code and weights for a 500-million-parameter model runnable locally, alongside a hosted demo of a larger checkpoint. Decart's inference engine makes real-time generation possible on NVIDIA H100 GPUs, and the model is architecturally optimized for Etched's Sohu Transformer ASIC, which when released is designed to support 100B+ parameter models at 4K resolution. The project received $21 million in seed funding from Sequoia Capital and Oren Zeev. Oasis is primarily used as a research demonstration and proof-of-concept by AI researchers studying world models, generative video systems, and real-time neural rendering. Developers exploring AI-generated game environments reference the open-source codebase to understand the architecture and experiment with adaptations. Gaming researchers study the Custom Worlds feature as an early indication of how image-to-playable-world generation might develop. Educators and technical communicators use the publicly accessible demo to illustrate the current state of AI world model research to non-specialist audiences. The Wikipedia entry on Oasis notes that Decart did not receive permission from Microsoft—which owns Minecraft—to train on Minecraft footage, raising unresolved intellectual property questions about the training data. Oasis's core technical contribution is achieving real-time interactive generation at 20 FPS—approximately 200 times faster than other diffusion-based video models at the time of release, which generated roughly 0.1 frames per second. This speed differential is what makes the system interactively playable rather than a passive video generation tool. Current limitations include low resolution (360p in the initial demo), visual blurring at distance, object appearance inconsistency across frames, memory loss in longer sessions where the world layout degrades or changes unexpectedly, and a lack of audio. The world model does not maintain a persistent spatial map, meaning turning around can result in a visually different landscape than the one just left. These constraints are consistent with the development team's characterization of Oasis as a proof-of-concept and research platform rather than a consumer game release.

Associated Tags

AI world model, real-time AI generation, next-frame prediction, AI game engine, open source game AI, generative game world, Minecraft AI model, interactive AI simulation

Key Features

Real-time next-frame prediction gameplay
20 FPS AI-generated interactive world
No traditional game engine required
Custom Worlds image-to-game generation
Open-source 500M parameter model weights
WASD and mouse player input support
AI-generated physics, rules, and visuals

Real Use Cases

How professionals leverage Oasis AI Game – Real-Time AI-Generated Interactive World Model

Oasis AI Game – Real-Time AI-Generated Interactive World Model use cases
  • An AI researcher uses the Oasis open-source codebase to study the next-frame prediction architecture and dynamic noising technique as a reference implementation for their own world model research.
  • A game developer explores the Custom Worlds feature by uploading concept art images to generate initial playable environments, evaluating how image-to-world generation could accelerate early-stage level prototyping.
  • A technical educator uses the Oasis browser demo during a presentation on AI capabilities to give a non-technical audience a direct, interactive demonstration of what real-time generative world models can currently produce.
  • A computer science student runs the open-source 500M model locally on a research GPU to experiment with fine-tuning the architecture on a different gameplay dataset for a class project on generative models.
  • A journalist covering AI gaming technology uses the public demo to personally experience and accurately describe the current capability and limitations of AI-generated interactive environments for a feature article.
  • An AI hardware researcher studies the Oasis architecture as a benchmark case for evaluating the performance advantages of Etched's Sohu Transformer ASIC over general-purpose GPU deployments for real-time world generation.

Editor's Verdict

Official Review
Oasis is a technically notable proof-of-concept that demonstrates real-time interactive AI-generated gameplay for the first time, with a 200x speed advantage over prior diffusion-based video generation and an open-source release that makes the architecture accessible for research. Its limitations—low resolution, world inconsistency over time, no audio, and unresolved training data IP questions—are consistent with its positioning as a research demonstration rather than a production game.
4.3 / 5.0
Editor Rating

Reviewed by Sohail Akhtar

Lead Editor & Founder

Pros

What we like

  • Achieves real-time interactive generation at 20 FPS—approximately 200 times faster than competing diffusion-based video models at the time of release—making it the first demonstrably playable AI-generated game environment.
  • The open-source release of the 500M parameter model weights and code on GitHub allows researchers and developers to study, reproduce, and extend the architecture without any access restrictions.
  • The Custom Worlds feature provides an early proof-of-concept for image-to-playable-world generation, expanding the model's use beyond a fixed training distribution toward user-defined input scenarios.

Cons

Limitations

  • The model does not maintain a persistent spatial map, meaning the generated world degrades in visual consistency over time—objects change appearance, the landscape shifts unpredictably when the camera turns, and longer sessions become progressively less coherent.
  • Current resolution is limited to approximately 360p in the hosted demo, and the model was trained on Minecraft footage without confirmed permission from Microsoft, raising unresolved intellectual property questions about the training data.

Target Audience

Who should use Oasis AI Game?

AI and ML researchers studying world models and generative videogame developers exploring AI-generated environment prototypingeducators demonstrating AI capabilities interactivelydevelopers experimenting with open-source generative game architecturesjournalists and researchers covering AI gaming technologyAI hardware researchers studying real-time neural rendering performance
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Frequently Asked Questions

What is Oasis AI Game?
Oasis is a real-time AI-generated interactive world model developed by Decart and Etched, released in October 2024, that generates a playable Minecraft-style environment at 20 FPS using next-frame prediction—predicting what the game world looks like after each player input without using a traditional game engine.
How does Oasis AI generate gameplay in real time?
Oasis uses a Vision Transformer to encode the current game state and a diffusion model to predict the next visual frame based on that state and the player's keyboard or mouse input, using a dynamic noising technique to stabilize frame-to-frame consistency.
Is Oasis AI Game free?
Yes, the browser demo is freely accessible with no registration, and the open-source 500-million-parameter model weights and code are available on GitHub for local deployment at no cost.
What are the main limitations of Oasis AI?
Current limitations include 360p resolution in the hosted demo, world layout inconsistency over time (the generated landscape can change unpredictably when turning), object appearance changes between frames, no audio, and the absence of a persistent spatial memory across longer sessions.
How fast is Oasis compared to other AI video models?
Oasis generates approximately 20 frames per second, which is roughly 200 times faster than other diffusion-based video models at the time of its October 2024 release, which required 10–20 seconds to generate a single second of video.
Who should use Oasis AI Game?
Oasis is best suited for AI researchers studying world models and real-time neural generation, game developers exploring AI-generated prototyping, educators demonstrating AI capabilities, and developers who want to study or extend the open-source architecture.