$TAO
Decentralized machine learning network BitTensor operates on a competitive sub-network model, rewarding intelligence producers based on output quality. Rather than relying on centralized data centers, compute allocation flows toward active nodes. The structural challenge lies in preventing low-value sub-networks from diluting token emissions while ensuring validator incentives align with genuine model utility over time