Google Gemini 4 Argon Demonstrates Advanced Physical Reasoning and Robotics
Google's Gemini 4 Argon achieved 97.5% on ARC-AGI-3 and enabled a humanoid robot to master cornhole from a single video. The model excels in spatial reasoning and physical world understanding, significantly reducing robotics training time.
Read the full story at Google DeepMind YouTube ↗
Timeline · 4 reports
- 2026-10-16 15:03 · The Decoder
Google's Gemini 4 Argon is closer to the AI frontier than any Google model in months - 2026-10-14 22:47 · r/singularity
Google's Gemini 4 Argon takes #1 in understanding the physical world beyond what it sees. It can reconstruct past events, predict what happens next, and infer hidden objects and human intentions. Argon scored 59.1% on long videos, versus under 41% for rivals, while its spatial reasoning jumped 21 po - 2026-10-13 21:00 · r/singularity
Google's Gemini 4 Argon taught a humanoid robot to play cornhole from a single human video. It built its own physics simulator, trained the throws, and refined them on the real robot. Apollo then landed 7 shots in a row. Google says this cuts weeks of robotics engineering down to hours. - 2026-10-13 15:58 · Google DeepMind YouTube
Teaching a humanoid robot to play cornhole with Gemini 4 Argon