On-chain AI refers to artificial intelligence computations or models that are executed directly on a blockchain network. This allows for transparent, verifiable, and decentralized processing of AI tasks, potentially enabling new forms of autonomous agents and data analysis within decentralized applications. It contrasts with AI that relies solely on off-chain infrastructure.
Context
The current discussion around on-chain AI often centers on its potential to enhance the capabilities of smart contracts and decentralized applications. Key debates involve the computational cost and scalability of running complex AI models on-chain, as well as the development of efficient algorithms suitable for blockchain environments. Critical future developments will likely involve advancements in zero-knowledge machine learning and the creation of specialized AI-focused blockchains or layer-2 solutions.
The Zero-Knowledge Proof of Training (ZKPoT) mechanism leverages zk-SNARKs to validate model accuracy without exposing private data, enabling provably secure on-chain AI.
AdEx's AURA API introduces an open-source framework for autonomous AI agents, bridging artificial intelligence with on-chain data to automate strategic Web3 interactions and enhance application layer intelligence.
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