ScyNet
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About
ScyNet addresses the critical need for vast computing power in Automated Machine Learning (AutoML), a barrier that often restricts this advanced technology to large enterprises. It functions as an open-sourced blockchain protocol and economic system designed to decentralize access to computing resources. The platform rewards individual computing nodes for contributing their power to the network. AI ventures can establish their own AutoML nodes on ScyNet, enabling them to train and refine their models using the collective GPU power available. A key innovation is its governance by a Zero-Knowledge Proof Protocol, which ensures secure and trustless validation. This protocol allows AutoML nodes to maintain proprietary ownership of their models, while trainer nodes can prove their computational work without revealing the sensitive model data to third parties. ScyNet supports both private AutoMLs, where training jobs are obfuscated for exclusivity, and public AutoMLs, which facilitate knowledge sharing among open-source organizations. The ultimate goal is to establish a truly decentralized source of collective AI, suitable for diverse applications across supervised, reinforcement, and generative AI.
Platform
Features
• supports public automls
• supports private automls
• trustless validation for model ownership
• zero-knowledge proof protocol for validation
• rewards computing nodes for resource sharing
• blockchain protocol and economic system
• open-sourced network for ai models
• decentralized computing power
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