Decart
Oasis
Current
1.5
shipped 1mo · 7 Oct 2026
First interactive, real-time playable Minecraft world model generated end-to-end by neural diffusion.
Specification
- FPS
- 20 FPS real-time
- Resolution
- 360P / 720P
- Hardware
- Etched Sohu / NVIDIA H100
- Weights
- Open weights on Hugging Face
Modalities: video, interactive, gaming
Oasis — 6-Axis Capability Radar
HEURISTIC ESTIMATEThese scores are rough estimates from category presets, catalog specs, and keywords in release notes. They are not measured benchmarks or test results. Catalog prices and context windows may refer to a different model variant.
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Shipping Cadence & Next Drop Forecast
This is an uncalibrated estimate from limited catalog history. A ratio of 100% means one estimated interval has elapsed; it is not a probability. Next-release dates and versions remain unconfirmed.
706 days
±7d variance35 days
Shipped on 2026-10-070.5 drops/yr
1 observed intervals · limited history2028-09-12
Next version: UnannouncedOptional AI cadence commentary
Summarize the recorded history and its limitations. Future releases remain unconfirmed.
Model Version Capability Delta
AI-synthesized architectural jumps, parameter scaling, and capability shifts across releases.
Ready to analyze Oasis v1.0 vs v1.5
Click Synthesize Diff to analyze latent space adjustments, resolution leaps, parameter shifts, and migration caveats via Gemini 3.8 Flash.
Version history
2 releases tracked
1.5
minor7 Oct 2026 · 1moOasis 1.5 reaches 60 FPS real-time neural simulation with multi-agent persistent memory.
- Fluid gameplay with zero game engine code; all rendering and world mechanics emerge from weights.
- Persistent terrain changes survive long-horizon exploration sessions.
Recorded announcementGeneral link · release source needed ↗1.0
major31 Oct 2024 · 2yDecart and Etched release Oasis, a real-time neural game engine running Minecraft without game code.
- Takes keyboard and mouse inputs and generates the next video frame autoregressively.
- Simulates physics, inventory, biome rendering, and ray-traced lighting purely from weights.
- Weights open-sourced for research on Hugging Face.
Recorded announcementGeneral link · release source needed ↗