AI-Native Computation describes artificial intelligence systems designed to operate within decentralized blockchain environments. These architectures execute AI models directly on distributed ledgers, providing verifiable and transparent AI operations. Such computation utilizes cryptographic proofs to validate AI outputs and processes, moving beyond traditional centralized infrastructure. It strives for trustless execution and auditing of artificial intelligence tasks.
Context
The current discussion around AI-Native Computation centers on its potential to decentralize AI governance and data ownership. A critical future development involves optimizing these systems for efficiency and scalability, addressing the high computational costs associated with on-chain verification. Its relevance in crypto news often pertains to new protocols offering verifiable AI services or decentralized autonomous organizations using AI for decision-making.
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