So a platform that helps train intelligence can use @Walrus 🦭/acc as a safe place to store datasets. This is helpful when the platform needs to share datasets with people or companies or when it needs to keep track of what is happening with the datasets or even when it wants to sell the datasets. The platform puts the dataset on Walrus. Then shows proof that the data on Walrus is the same as the original data. This proof is, like a code that says the data has not been changed. The platform can use this code in agreements that say how people can access the datasets or how they can pay for them. The platform can use Walrus and these special codes to make sure that the datasets are safe and that people are doing what they are supposed to do with the datasets.
People make money from the access layer, not the storage layer. When users want to use the data they have to pay to get the decryption keys or access tokens or licenses. The data is still available for everyone to see that it is real. People can not use it for free. This way people can trust that the data is good without having to give up control, over who can use the data. The data remains publicly verifiable. Users have to pay to really use the data.