Data Mining
For agents and model to remain accurate and relevant, they require real-time, trustworthy data. Data Mining leverages a consensus-based system to ensure the quality and reliability of the data feeding into AI models. Users contribute and verify data collaboratively through PlayHub, ensuring accuracy and relevance.
Key Processes:
Curation and Submission: Users suggest real-time information by tagging Aura via platforms like Twitter, Video and Audio with PlayCollective, and other such programs.
Community Verification: Other users evaluate, approve, or reject submitted data to ensure accuracy.
Oasis Nodes: These nodes process and validate the submitted data, ensuring its integrity before it is integrated into the system.
Consensus and Integration: Verified data is added to a data bank, keeping models updated with real-time insights.
Incentives:
Curators: Earn credits for submitting valuable information.
Verifiers: Earn rewards for assessing and validating data accuracy.
By involving the community and oasis nodes, Data Mining ensures that models and agents are fueled by unbiased, up-to-date information.
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