A humanoid robot lies on the floor, appearing to sleep. Its body makes almost imperceptible movements - an arm shifts slightly, the head tilts, a leg stirs - as if lost in a dream. «Training Grounds» challenges how we understand machine consciousness by revealing AI not as cold or mechanical, but as capable of vulnerability. In this moment of simulated sleep, the installation blurs the boundary between dreaming and learning, between organic rest and computational retraining. It provides a temporary release from the rigid control we normally associate with machines. At the same time, it reflects our growing dependence on AI systems that must constantly adapt and retrain to interpret the complexity of the world. By placing the viewer before a robot at rest, «Training Grounds» invites us to see artificial “intelligence” as more than logic and function. It offers a poetic meditation on whether machines, like humans, need moments of stillness and subconscious digestion to transform overwhelming data into understanding.