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Defect Detectors - How to Build Trust Around the Whole Platform
We are developing many other defect detectors, and most of them are based on biological priors. We want to provide algorithmic consensus by reporting all the different confidence metrics from these different detectors that are complementary to each other. The more we go into finding signals that makes us human, the opportunities are endless. Even in our voice, even in our speech, there are hidden clues. Our behavior, our emotional state, our gestures, there are so many hidden clues that are not replicated by the fix yet.