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MIT researchers developed Gaussian probing, an evaluation procedure that tests generative AI models for harmful capabilities without generating outputs. The technique examines hidden representations to infer whether a model has been specialized to produce child sexual abuse material. It identified CSAM-capable model variations with 100 percent accuracy.
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