Gemini Omni (AI model): news timeline & CVEs

Google wants Gemini 4 Argon to be the only AI model robots need

Google pitches Gemini 4 Argon as one robotics model for control, simulation, and training-data grading.

Google is pitching Gemini 4 Argon as a single model for robot control, simulation, and training-data review, including demos with a Boston Dynamics Spot robot in MuJoCo. From one photo it generated 77 tasks and more than 4,500 episodes, raising real-robot success from 56% to 75% and cutting execution from 35 to 24 seconds. Google says Argon scored 87% on the 400-question ERQA benchmark, ahead of Claude Opus 5.5 at 82.3%, GPT-6 Astra at 81%, and Claude Fable 5.1 at 74%. On Artificial Analysis’s AA-Robotics test it scored 55, behind GPT-6 Astra at 69 and GPT-6.1 Sol at 65.

The Decoderupdated Oct 16, 15:03 UTC · 10h agofirst Oct 15, 16:35 UTC · 1d agoModel release 5 sources3· 3 reads

Gemini 4 Argon for Robotics

Gemini 4 Argon scores 87% on ERQA and demonstrates new robotics control workflows.

Google DeepMind says Gemini 4 Argon improves physical understanding, code generation, and visual-semantic reasoning for robotics. Using pure reasoning, Argon scores 87% on the Embodied Reasoning (ERQA) benchmark, ahead of other frontier models in the post. Demonstrations include Boston Dynamics Spot mobile manipulation practiced in MuJoCo, zero-shot robotic-arm control, and closed-loop steering of the Gemini Omni world model. The post also covers real-to-sim reconstruction, dexterity labeling, and iterative improvement in simulation and on hardware.

Google DeepMindupdated Oct 16, 15:03 UTC · 10h agofirst Oct 13, 16:01 UTC · 3d agoAI research 5 sources

Gemini Omni

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Google wants Gemini 4 Argon to be the only AI model robots need

Gemini 4 Argon for Robotics