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If we ever want AI to run on-chain without catching the network on fire, we need to stop trying to prove things just because we can.
@inference_labs is taking a "less is more" route by focusing on anomaly detection and safety boundaries.
To me, this is the only way zkML scales for real finance or healthcare apps.
You don't need a proof for the whole black box; you just need to know the box didn't violate its safety policy.
Are we over-engineering ZK proofs for AI right now?