world-models
NVIDIA's new method stops AI dream-worlds from breaking the laws of physics News
PhysisForcing trains video-generating world models to keep objects solid and interactions believable, raising how often a robot's imagined plan actually works.
A robot AI that adapts to a moved camera by wiggling, not retraining News
A new method lets robot policies figure out a changed setup from a few seconds of self-directed fiddling, so they keep working when the camera or robot body changes - with no retraining.
This AI predicts how objects move by tracking shapes, not pixels News
PhysiFormer forecasts physical motion as real 3D meshes in space - and recovers rigidity and momentum without anyone hand-coding the laws of physics.
An AI's hallucinations turned out to be a map with blank spots News
Researchers showed that when a world-model AI imagines impossible futures, it's usually in places it barely saw in training - and that you can predict and fix those blind spots cheaply.
NVIDIA shrinks video generation down to real time News
A new NVIDIA recipe distills slow video-generating AI into a fast version that can stream frames live and react to your actions.
Alibaba's new models let AI agents practice in a world they imagine News
Qwen-AgentWorld trains a model to simulate the environment an agent acts in, then uses that simulation as a cheap, controllable place to learn -- reporting gains beyond training in the real thing.
AI Agents Are Learning to Build the Worlds They Train In News
Three new open research projects point the same way: instead of only learning what to do, agents are learning to simulate the environment itself, so they can practice in their own imagination.
Robots may not need to picture the future as video to act on it News
Generating a full imagined video of what comes next is expensive. A new method skips it — pulling a robot's next move straight from the inner workings of an image-editing model.
AI 'world models' have short-term memory — they forget what's off-screen News
A sweeping study of dozens of AI video-prediction systems finds they don't truly remember the world; when something leaves the frame, they quietly reinvent it the next time you look.
A world model that thinks in loops instead of stacking layers News
Instead of building an ever-deeper neural network to simulate the future, a new design re-runs one small block over and over — doing comparable work with a fraction of the size.
What are world models? Lesson
A world model is an AI system's internal understanding of how an environment works — not just what it sees right now, but what will happen after an action, and what would have happened differently. Central to planning, robotics, and the next generation of physical AI.
Turn the camera away, and the AI's world freezes News
A new benchmark tests whether video AI systems can track what happens to parts of a scene the camera isn't currently showing. Across 23 models, the answer is mostly no — and making the models larger made the problem worse, not better.
Turn around, and the world disappears News
AI video models that are supposed to "understand" a 3D scene only remember what's on screen — pan away and back, and things have reset. Bigger models are worse at it.
Do robots even need to imagine the movie? News
The common belief is that a robot needs to imagine a video of what happens next to plan. A new method says no — imagine a single still frame, and don't even fully draw it.
Qwen-AgentWorld Tool
Alibaba's open language world model that simulates agent environments -- browser, terminal, phone, coding workspace and more -- so other agents can be trained inside the simulation. Released with open weights and code in two sizes.