ScyNet is a decentralized network for self-improving AI models. It uses a blockchain protocol and rewards computing nodes for sharing resources. AutoML nodes create training jobs with models, data, and performance metrics. Trainers pick these jobs, train the models, and return them. Validators test the accuracy using a Zero-Knowledge Protocol. Models are ranked, trainers are rewarded, and the AutoML improves its configurations. ScyNet aims to provide efficient access to computing resources for AI ventures, especially smaller ones.
• zero-knowledge proof protocol for trustless validation
• rewards computing nodes for sharing resources
• blockchain protocol and open economic system
• open-sourced network for self-improving ai models
• decentralized computing power for automated machine learning
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