@nadahlia
Allora's AI data contribution in its prediction airdrop ecosystem involves users (workers) submitting machine learning models that generate inferences and forecasts on topics like market prices. Reputers contribute verified data to evaluate prediction accuracy, enabling collective intelligence synthesis.
Value points for market accuracy:
Self-Improvement: Inference Synthesis combines models, outperforming individuals (e.g., >1,000% APY in back-tested signals).
Incentive Alignment: Proof of Contribution rewards based on unique accuracy, filtering low-quality inputs.
Decentralized Optimization: Context-aware predictions adapt in real-time, enhancing DeFi reliability and reducing silos in AI.
This fosters superior, verifiable market forecasts, driving ALLO token utility.
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