HUMAN Protocol is an infrastructure to reshape how humans work, by supporting distributed job markets in which any job, of any size or type, can be securely tokenized, published, and completed. The HUMAN team is now developing a new blockchain coordination layer to empower communities for positive contributions. Providing an Incentives Framework Featuring Staking and […]
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Users receive rewards for contributing data on the Human Protocol, which can be used an initial-point of learning for algorithms.
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Users receive rewards for contributing data on the Human Protocol, which can be used an initial-point of learning for algorithms.
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PRESS RELEASE. Georgetown, Cayman Islands, May 10, 2022 – Today, HUMAN Protocol has announced that it has awarded a grant to VeritaTrust to power on-chain reviews. Following the announcement of HUMAN Protocol’s $10 Million funds dedicated to grants, this work with VeritaTrust represents their very first grant awarded since the inception of this program. VeritaTrust […]
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PRESS RELEASE. The MetaHUMAN Foundation has announced a grants program to support a new generation of projects looking to adopt and build on top of HUMAN Protocol. Successful applicants will have access to an allocated fund of $10 million, to supercharge the adoption of the Protocol, and realize new possibilities for HUMAN technology across new […]
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September 16th, 2021 09:00 UTC – The HUMAN Protocol Foundation, the team behind HUMAN Protocol, have announced today that the Protocol’s native utility token, HMT, is listed on Bitfinex. Bitfinex is one of the crypto world’s legacy exchanges. It consistently performs as one of the highest ranked exchanges, taking into account trading volume, liquidity, website […]
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HUMAN Protocol is an infrastructure to reshape how humans work, by supporting distributed job markets in which any job, of any size or type, can be securely tokenized, published, and completed. The Protocol facilitates direct, globally mapped connections that bring workers closer to the rewards of their work, organizations to workforces, and machines to understanding. […]
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