kaal:claim:4796714-037
A decentralized data validation layer applied to pretrained models is efficient but structurally limited: because it cannot drive significant changes to the model's core design or training approach, it leaves the model more attack prone.
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The validation layer approach, while efficient for refining pretrained models, may not facilitate significant changes in the model's core design or training approach which could make it more attack prone.
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failuresupport: arguedfailure: validation layer scope limitfamily: ai-oversight-and-alignment-gapconsensus-and-securitygovernance-design
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