Χάρτης τοποθεσίας δημοσίευσης Square - 5826 από 5873

I’m thinking about @WalrusProtocol as infrastructure for data that keeps a product real: media files, datasets, and any large blob that must stay reachable without turning a blockchain into a warehouse. The design splits duties on purpose. The storage network holds the heavy bytes, and Sui is used as the coordination and proof layer so apps can see clear lifecycle events. When someone writes a blob, it is encoded into many slivers with erasure coding and spread across storage nodes, and the write is finalized only after enough nodes sign acknowledgements and a Proof of Availability is recorded on chain. They’re trying to turn “it uploaded” into “the network is accountable,” because after that proof the system is expected to keep the blob retrievable for the purchased time window even during churn. Reads rely on collecting enough valid pieces and verifying them against commitments so the reconstructed file matches what was originally stored. In practice, teams would encrypt sensitive content first, store the encrypted blob, then manage keys and access logic at the application level while the storage layer focuses on availability and integrity. The longer term goal looks like a dependable shared data layer where costs stay predictable and storage operators are pushed to behave through staking incentives and penalties. I’m watching uptime, repair speed, and operator diversity evolve. I’m not treating this as magic, because the real test is whether repair stays efficient when nodes fail and whether proofs keep matching reality, but if those conditions hold, they’re building a calmer foundation for data that should not disappear. #Walrus @WalrusProtocol $WAL