@Walrus 🦭/acc AI is getting smarter, but the data underneath it is fragile: links die, files move, and “the dataset we trained on” turns into a story instead of something anyone can actually check later. Walrus treats storage as a decentralized data platform for the AI era, built around reliability and simple, verifiable receipts you can come back to.@Walrus 🦭/acc lets you publish large files as blobs, then record a Proof of Availability on Sui an onchain signal that the network has accepted responsibility to keep that data available for a defined period. That means months later, during an audit, safety review, or model dispute, you can point to something concrete instead of relying on screenshots and memory.Seal adds encryption and access control so you can prove data exists and is available without exposing its contents to everyone. Red Stuff–style erasure coding keeps data recoverable by spreading encoded pieces across nodes, so the network doesn’t have to copy everything everywhere to stay durable.The interesting part is how boring this could become in practice: Walrus behaves like quiet infrastructure, where verifiable data is just assumed to be there, the way audit logs became standard without anyone talking about them much. The real question is whether this idea of “verifiable data” turns into baseline infrastructure for AI and the broader internet, or stays a niche feature for people already thinking about provenance and proofs.

@Walrus 🦭/acc #walrus $WAL