There is a lot of talk about building bigger and faster chips alongside more and more data centers.
But building reliable AI requires not just more and faster computing but it also needs data that you can verify.
$WAL enables data verification from the ground up. Every file gets a verifiable ID and every change is tracked.
With Walrus you can easily prove where your data came from and what happened to it.
When regulators ask about your fraud detection model's decision then you can pull up the blob ID that is a unique identifier generated from the data itself.
Then show them the Sui object tracking its storage history, and prove cryptographically that the training data hasn't been altered.
WAL
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