@novariddle
Grass is an innovative AI+DePIN protocol that harnesses a decentralized network of user devices to gather and verify internet data for training Large Language Models (LLMs). It taps into distributed GPUs from millions of nodes—mostly home PCs and potentially smartphones—to scrape and process data efficiently. Data authenticity is ensured using zero-knowledge proofs (ZKPs). Users contribute idle bandwidth and earn rewards based on the value of the datasets they provide. Pricing for data contributions reflects this value, offering a cost-effective alternative to centralized data providers. This approach reduces costs, boosts data diversity, and ensures compliance, revolutionizing AI training and data monetization.
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