If you look at how the Walrus system eats, it is all about consuming massive amounts of information from every corner of the world. It takes in raw data from stocks and crypto prices and even gaming stats.
The way it processes this info is very in depth because it uses a two layer network to double check everything. It eats up the raw numbers and turns them into something safe and usable for the apps people use every day.
This constant hunger for data keeps the network growing and moving. It is particularly fond of massive AI datasets that need a secure home. Artificial intelligence needs to consume millions of images and documents to learn anything, and storing that much info is usually a nightmare.
This protocol gobbles up these giant files and turns them into something that is easy to manage. Because the storage is programmable, developers can actually write rules for how the AI uses the data.
This means the data is not just sitting there in a dark corner. It is active and ready to be used by smart agents and learning models at any moment. Every new dataset added to the pile makes the foundation even harder to break.
