Source: The Verge
DeepMind has moved from task-specific models to unified control systems where one AI handles perception, reasoning, and motor output simultaneously—eliminating the pipeline of separate models that historically managed different robotic functions. The shift cuts latency, reduces training overhead, and makes robots adaptable to novel tasks without retraining. Industrial robotics companies like Apptronik are adopting it for these reasons. The open question is whether this scales beyond lab conditions to manufacturing and logistics, where real-world friction—dropped objects, wear, variation—still punishes brittle AI systems.