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Following a wave of executive departures in its AI division, 1X Technologies has launched the 1X World Model Lab, pivoting hard toward large-scale pretraining to solve the humanoid autonomy bottleneck.
At GTC Taipei, NVIDIA unveiled Cosmos 3, a breakthrough mixture-of-transformers omnimodel that transitions the robotics industry away from language-heavy VLA models toward native physical reasoning and action prediction.
In a new interview, the Meta Chief AI Scientist and AMI Labs founder doubles down on world models, arguing that the massive data requirements of current humanoid demos prove the Vision-Language-Action (VLA) approach is a dead end.
ShengShu Technology has announced Motubrain, a hardware-agnostic robotic brain that unifies perception and action to outperform traditional VLA models on global benchmarks.
As "world models" become the dominant paradigm in robotics, the industry is grappling with a term that means everything and nothing. We map out the competing visions from LeCun, NVIDIA, 1X, and Tesla.
On Day 4 of AI Week, AGIBOT transitions from modeling the world to generating interactive environments where embodied agents can evolve autonomously.
NVIDIA GEAR Lab has released DreamDojo, an open-source world model pretrained on a massive 44,000-hour dataset of human egocentric videos. By using "latent actions" to bridge the gap between human and robot movement, the model achieves zero-shot generalization and real-time controllability for teleoperation and planning.
Following a week of reveals about its new Redwood AI, robotics firm 1X has detailed its latest tool: an 'action-controllable' world model. The system acts as a high-fidelity simulator, allowing the company to predict the outcomes of its NEO robot's actions and rapidly evaluate AI performance without costly, time-consuming physical trials.
