The technological trajectory is clear: Hash-based systems anchored in the National Center for Missing and Exploited Children (“NCMEC”) database remain highly effective for identifying known CSAM, but they are structurally incapable of addressing synthetic, modified, or previously unseen material. Machine learning systems”, trained on large corpora of images”, offer the only plausible path forward for detecting novel..
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