Based on Jinse, FLock outlined a proposal for an AI Model Launchpad at its 2025 annual performance report. The initiative aims to tokenize vertical-use AI models, such as those for medical diagnosis, legal documentation, and financial risk control, to create sustainable revenue streams for data providers, compute nodes, and validators. Unlike AI Agent-based Launchpads, FLock’s model is infrastructure-driven, rewarding contributors with tokens that generate ongoing income when the model is used. The approach seeks to address the limited commercialization paths for niche AI models and incentivize continuous model optimization. However, challenges remain, including ensuring genuine demand for model usage and avoiding刷量 (inflated usage).
FLock Proposes AI Model Launchpad to Tokenize Vertical-Use Models
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