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Dagnum P.I. @Dagnum_PI on x 31.1K followers
Created: 2025-07-19 19:04:33 UTC
Risk 2: Maliciously Modified Data.
"Malicious actors employ data poisoning to corrupt the learning process, compromising the integrity of training datasets and leading to unreliable or malicious model behavior."
@Conste11ation HGTP's multi-author smart contracting could enable "preemptive quantum-proofing" where data revisions are signed and verified in real-time, detecting anomalies like adversarial examples before they poison models.
This turns AI training into a tamper-evident ledger, far beyond checksums.
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