There is an angle I want to discuss with everyone: data storage is everywhere, but the core question is—what kind of data truly deserves to be protected by blockchain?

Just to give an example. Losing movies stored in cloud drives isn't a big deal, but the birth videos of your children, or the code for your thesis that took half a year to refine? Once lost, it's gone forever. It's like you can never go back to that moment.

The idea behind the Walrus protocol is very interesting. Unlike traditional methods that copy files countless times—an approach that becomes prohibitively expensive—it uses erasure coding to split files into fragments and disperse them across the network. As long as most of the fragments can be retrieved, the original data can be fully reconstructed. This reduces costs to about 20% of traditional methods. What does being cheaper mean? It means that truly important things can be stored securely for a lifetime.

For example, imagine拆成零件，分给十个小朋友各保管一些。不需要十个都在，六七个就能拼回完整的城堡。或者想象秘密地图被撕成九份，藏在不同地方——找到五份就能推断出宝藏位置。数据存储的逻辑完全一样。既能保证安全，成本也漂亮。

Numbers don't lie. To date, over 5PB of data has been stored on the network, with more than 1 billion $WAL tokens locked inside. This shows that there are real users relying on it, not just hype.

Digging deeper, storage inevitably involves privacy. Walrus integrates the Seal privacy layer, ensuring data is encrypted from the moment of upload. AI wants to use your data to train models? Sure, but it can do so while the data remains encrypted.

Initially, I also thought this might be a hollow promise. Until I saw it deeply integrated with projects like Pudgy Penguins, handling the migration of millions of credentials, I realized this is solving real problems.

So, Walrus is not just a storage tool. It uses the power of mathematics and distributed networks to help you safeguard those digital memories that, once lost, can never be recovered. In a time full of hype, something rooted in improving data certainty actually seems a bit precious.