Almost all mature software systems in reality grow with problems in their early stages. Misunderstanding requirements, architectural design flaws, misjudging application scenarios—these are not exceptions but inevitable steps in iteration.

But blockchain changes the rules. Once data is confirmed and recorded on-chain, errors can become permanently embedded. Making corrections becomes extremely difficult and costly. This characteristic is originally an advantage of blockchain, but for developers, it becomes a constraint—you must be perfect at every step, or the system will bear the consequences.

The Walrus project aims to solve this structural dilemma.

Its approach is not to force developers to be omniscient, but to enable the system itself to have self-correcting capabilities. How does it do this? Walrus assigns each data object a stable identity at creation. Any subsequent changes, modifications, or updates do not create new entities but are recorded as state changes of the same object. This way, the system can clearly distinguish between "what this object is" and "what has happened to this object," eliminating confusion.

According to public information, Walrus supports data objects up to MB level, ensuring data persistence and availability through distributed redundancy. The read latency on the test network remains stable at the second level, which means it’s not just a cold storage tool; it can be used in real applications.

This design triggers interesting chain reactions. When data can be safely corrected, developers’ psychological burden is reduced, making it easier to try complex but valuable features instead of self-limiting due to fear of errors. Another shift is the changing status of history—from a burden to an asset. The system can understand its own evolution, which helps in diagnosing issues and optimizing iterations.

Overall, Walrus is doing a storage solution on the technical level, but at the system level, it is a re-design of fault tolerance mechanisms. It’s an interesting approach.