Gemini 4 Argon watches a cornhole video, then sinks seven straight shots on a humanoid robot
Google DeepMind's Gemini 4 Argon ties for #1 on CWE-Bench (68%) for vulnerability remediation and expands to hundreds of Fairwind Program partners. It autonomously turns raw video into physics-accurate simulations, reconstructs Chaco Canyon from 50 GB of LiDAR scans, and writes a pure-Python 3D ray-tracing engine. With 1M output tokens, it completes 100K+ token reasoning trajectories for math and science.
Argon watched a raw video of a human playing cornhole, mapped the spatial coordinates of the environment, and calculated the required whole-body joint movements. It then autonomously built the simulation code. When transferred onto Apptronik's Apollo humanoid, the robot quickly sank seven consecutive shots in a real-world trial.