STOP WASTED DATA! How $OPEN Guarantees Quality for a First-Class AI. 🗑️❌
The maxim in the tech world is: "Garbage In, Garbage Out" (If you input garbage, you get garbage out). The quality of Artificial Intelligence directly depends on the quality of the data it is trained on.
$OPEN solves this critical problem with a system of incentives and verification in the chain:
1. Specialized Datanets: Data is organized into Datanets (Data Networks), where it is grouped by knowledge domain. This allows experts in each field to audit and validate the information, maintaining the relevance and purity of the data.
2. Quality Incentives: The Proof of Attribution (PoA) mechanism not only rewards contribution but also measures the impact of that data on the final performance of the AI model. If your data improves the model, you earn more $OPEN . If it is of low quality or incorrect, it may be penalized or removed.
3. Transparent Audit: By recording the provenance and effect of the data on the blockchain, the community can verify that models are being trained with high-quality information, building trust in the final outcome.