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We settled most close attention to how they worded their particular “1 in 1 trillion” declare. They might be talking about false-positive fits earlier gets delivered to the human.

Muhammad No Comments

We settled most close attention to how they worded their particular “1 in 1 trillion” declare. They might be talking about false-positive fits earlier gets delivered to the human.

Especially, they authored that probabilities happened to be for “incorrectly flagging confirmed membership”. Inside their information of their workflow, they speak about methods before a person decides to exclude and submit the membership. Before ban/report, it is flagged for examination. That’s the NeuralHash flagging something for evaluation.

You are writing on mixing causes purchase to decrease untrue positives.

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