Tencent Open-Sources Hunyuan 3D World Model 2.0 Generate Editable 3D Game Worlds with One Sentence, Compatible with Unity/UE
Tencent has officially released and open-sourced Hunyuan 3D World Model 2.0 (HY-World 2.0), enabling AI to evolve from video generation to creating playable, editable 3D world
Core Highlights
Text / Image / Video β Directly generate exportable 3D assets (Mesh / 3DGS / Point Cloud)
Seamlessly integrates with Unity / Unreal Engine for game maps and level prototyping
One-click reconstruction of digital twin scenes from single images/videos, no camera parameters required
Spatial Agent for intelligent navigation trajectories no wall penetration, consistent spatial height All-new HY-Pano-2.0 + WorldMirror 2.0 architecture, achieving SOTA in 3D reconstruction and novel view synthesis
Key Breakthrough Unlike Genie 3 and Hunyuan 1.5, which only output videos, HY-World 2.0 generates re-editable 3D worlds that support collision, interaction, and engine import
Application Scenarios Game Development, Indoor Preview, Urban Planning, Digitalization of Cultural Heritage, Embodied AI Simulation
We got Qwen 3.5 to count Rs in Strawberry correctly! π¨
Building on Sawtone, weβve been testing a different way to feed language into an LLM to build the next generation of multilingual AI.
The usual setup gives the model tokenized text and asks it to perform various linguistic tasks. That works surprisingly well, until it doesnβt. Accents disappear. Words get mangled. Internal structure gets blurred away. And the cost of that gets higher once you move into multilingual and lower-resource settings.
So we tried adding a second path.
In addition to the normal text input, the model also receives Sawtone: a byte-level word representation that preserves how a word is written, how it sounds, and how it is structured.
Same LLM. Better interface.
In this proof of concept with Qwen 3.5 0.8B, that pushed our eval from 64% to 88%. The gains showed up exactly where tokenized models usually get shaky: diacritics, character order, exact spelling, and other form-sensitive behavior.
Sawtone itself is tokenizer-free, byte-level, and pre-trained across 507 languages.