AI systems are data-hungry and trust-sensitive. They require large datasets, transparent provenance, and long-term availability. Walrus Protocol provides exactly these properties in a decentralized context.
By enabling verifiable storage of datasets and AI outputs, Walrus supports decentralized AI development without relying on centralized data silos. This is essential for open, auditable, and censorship-resistant AI systems.
$WAL incentivizes the maintenance of high-quality data over time, ensuring AI models can be trained and validated reliably.
As AI and Web3 converge, protocols that handle data responsibly will define the landscape. Walrus is already there.
WAL
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