Why Verifiable Data Is the Missing Layer for AI and Walrus Gets It Right
When people talk about AI on blockchain, most focus on agents, automation, or hype narratives. But from my perspective, the real backbone of AI is data you can trust.
That’s why Walrus Protocol, built on the Sui Network by Mysten Labs, stands out. Walrus focuses on verifiable storage for large AI datasets, models, and outputs making sure data stays available, unchanged, and provable over time. Instead of trusting centralized servers, developers can cryptographically verify what AI systems are actually using. To me, this creates real confidence in AI results.
As AI grows inside Web3, projects like Walrus quietly solve the hardest problem first making data reliable before everything else is built on top of it.
