ZKPs is a method that allows a person—looking to verify themselves—to answer statements in a manner that establishes trust to the verifying party without unveiling personal or secret information. Take, for example, the problem of 4+4=8. This is something the person looking to be verified knows to be true, but the ZKP method relies on trust. Instead of asking is 4+4=8, the verifier asks a series of questions to determine if the person wanting to be verified is telling the truth (or in this case, knows that to be true). The verifier can ask is 4+4=7; is the sum of 4+4 an even number, and so on and so forth, and after the series of questions, it can determine the veracity of the person’s claims, thereby identifying them.
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They are called data annotators, and they are the manual labourers of the AI revolution. On the screens they draw boxes around flower pots and traffic signs, follow contours, register pixels and name objects: cars, lamps, people. Every image must be described, labelled and quality assured.
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