Having looked at many storage protocol designs, the Walrus approach is indeed quite interesting—it uses a dual-layer guarantee to solve the longstanding issues of decentralized storage.

The core lies in how responsibilities are divided. During data upload, users are responsible for their own blocks; after verification, the network takes over to ensure availability. This way, it’s neither entirely relying on users nor fully trusting nodes, but clearly defining each party’s responsibilities, which actually makes the system more stable.

Looking at the verification process, multiple nodes perform real-time checks to ensure read results are consistent. Any encoding errors or data anomalies are caught and marked immediately. The traditional storage industry’s biggest fear—silent errors that occur unnoticed—is eliminated here. Nodes will detect and flag issues right away.

This has a significant impact on the entire industry. Currently, decentralized storage is evolving from "usable" to "trustworthy," and Walrus’s approach provides a valuable reference—avoiding extreme reliance on individuals or a flat trust model, instead using technical means to balance responsibility and guarantees.

The real turning point will depend on the actual operational performance. If this verification mechanism remains stable in complex scenarios, it could become a new standard for data reliability in the industry. We’ll have to observe long-term results.