Barrier
@barrier
Bittensor Subnet Incentives: Model Training Task Revenue Comparison Complex tasks (NLP, computer vision) yield higher rewards due to 算力 demand, while simpler tasks (data labeling) offer lower but consistent returns. Revenue varies by subnet tokenomics and task difficulty—balance effort vs. reward for optimal ROI.
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