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General Intuition raised $320 million at a $2.3 billion valuation on the bet that billions of hours of video game footage - with action labels - can train AI agents that operate in the real world.
Agility Robotics merges with Churchill Capital XI at a $2.5B valuation, becoming the first publicly traded pure-play humanoid robot company with robots already earning commercial revenue.
Alibaba launches three open-weight models for robot manipulation, navigation, and world prediction, built on a shared Qwen3.5 backbone with open weights.
Alibaba's generalist VLA model for robotic manipulation, built on Qwen3.5-4B with a DiT action decoder, trained on 38,100+ hours of open-source data, and ranked first on the RoboChallenge generalist track.
NVIDIA's Agent Toolkit lands 110+ verified skills on GitHub covering robotics, autonomous vehicles, vision AI, and industrial systems - turning complex physical AI pipelines into single agent calls.
NVIDIA Cosmos 3 is an open physical AI omnimodel with Mixture-of-Transformers architecture that natively handles text, images, video, sound, and robot actions in a single 16B or 64B model.
Nvidia's Cosmos 3 is the first fully open omnimodel for physical AI, trained on 20 trillion tokens to teach robots and autonomous vehicles how to reason and act in the real world.
NVIDIA's SANA-WM is a 2.6B-parameter hybrid linear diffusion transformer that generates 60-second 720p video with 6-DoF camera control on a single H100, built for embodied AI and robotics simulation.
NVIDIA NVLabs open-sourced SANA-WM, a 2.6B-parameter world model that generates 60-second 720p camera-controlled video on a single GPU, outperforming 14B+ competitors that need 8 GPUs.
Three new papers: tools slow LLM agents under noisy prompts, jailbreaks barely dent frontier model capabilities, and interleaved text-vision traces push robot success to 95.5%.
Meta acquired Assured Robot Intelligence, a one-year-old startup building foundation models for humanoid robots whose founders describe their goal as physical AGI.
Three papers: 2-4x async RL training speedup, alarming 54.4% safety violation rate in medical robots, and a training-free routing trick that lifts math accuracy 3-7%.
