9 posts
Hugging Face Storage Buckets just made the robot data flywheel real. Record demonstrations, train by streaming from the Hub, deploy checkpoints—all without re-downloading gigabytes.
NVIDIA distills its Cosmos-H surgical world model into an interactive simulator running at 160 FPS on a single GPU. Closed-loop robotics policy training just got a lot more practical.
NVIDIA, DeepMind, and Disney just open-sourced Newton—a GPU-accelerated physics engine that treats simulation as infrastructure. If you're building physical AI, your bottleneck just shifted.
NVIDIA just shipped a 4-billion-parameter world action model designed for edge devices—robots, Jetsons, RTX GPUs. It's one model that predicts, simulates, and acts in real time.
LeRobot's biggest release yet ships world-model policies that imagine before acting, reward models that know when robots succeed, and a unified eval suite across six simulation benchmarks.
AllenAI's MolmoMotion predicts where objects will move in 3D space from language instructions—and it's open. New dataset, benchmark, and models that outperform video generators at forecasting.
AWS open-sourced Strands Robots, an SDK that exposes LeRobot's stack as composable agent tools. Record demos in sim, push to Hub, run policies, deploy to hardware—all in one agent.
The Dialogues stage at I/O 2026 brought together Google's leaders to discuss the future of AI, quantum computing, robotics, and human creativity—here's what stood out.
NVIDIA just published a complete recipe for parameter-efficient fine-tuning of Cosmos Predict 2.5 for robot video generation. LoRA adapters, rectified flow, and synthetic trajectory data—finally.