Gradients, a decentralized AI training subnet on Bittensor, is transforming AI model training into a market-driven network collaboration. By integrating AutoML with distributed computing power, Gradients creates a training marketplace that lowers the barrier to AI adoption and enhances computational efficiency. This innovative approach shifts AI training from a closed, centralized system to an open, collaborative network, allowing multiple participants to explore diverse optimization methods concurrently. Operating on Bittensor's Subnet 56, Gradients utilizes a unique incentive mechanism driven by Bittensor's native token, TAO. This system rewards participants who contribute computational power and model resources, fostering a competitive environment that continuously improves model optimization. Despite its early stage, Gradients shows potential to become a key entry point for decentralized AI training, offering a new paradigm of "market-driven AI optimization" within the TAO ecosystem.