When Walrus employs cryptographic commitments and on-chain proofs, why does storing AI datasets on decentralized networks create manipulation or loss concerns?
Walrus maintains dataset integrity through its RedStuff erasure coding algorithm, which encodes blobs—such as multi-GB AI training sets—into primary and secondary slivers with built-in redundancy, allowing reconstruction from just a 1/3 quorum of correct slivers even if up to 2/3 of storage nodes are faulty or unavailable after network synchronization, while each sliver includes commitment hashes that clients verify against the original blob's content-derived ID during retrieval to detect any alterations or inconsistencies; additionally, the system requires a 2/3 quorum of signed node acknowledgments to generate a POA certificate, which is published as an immutable record on the Sui blockchain, ensuring that once certified, the dataset's custody is publicly auditable and nodes are obligated to maintain slivers without modification, with any proven inconsistencies leading to on-chain disassociation of the blob ID from its storage resource object, effectively marking it as inaccessible while preserving the hash for forensic checks.
Blob metadata items, epoch-based storage duration, and sliver commitments are handled by Sui's MoveVM smart contracts. Programmatic verification, self-healing, and delegated PoS payments are possible. Nodes who fail to generate authenticated slivers or react to challenges lose stakes, prohibiting tampering and tying token usefulness to data integrity.
To prevent production pipeline corruption, an AI team fine-tuning models on proprietary datasets could upload a 500GB corpus to Walrus, receive the PoA and metadata object on Sui for on-chain verification, and integrate a Move contract to conditionally release model weights after periodic integrity audits confirm sliver commitments.
How may adding Walrus's slice commitment verifications to your crowdsourced AI project's training pipeline affect data drift and adversarial inputs across epochs?

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