The Human Protocol introduces a blockchain coordination layer for data contribution

Users receive rewards for providing human protocol data, which can be used as an initial learning point for algorithms.

Human protocol introduces blockchain coordination layer for data contribution New

On Thursday, the Human Protocol Decentralized Infrastructure Project announced that it is launching a new blockchain coordination layer to manage routing functionality between third-party providers to power data contribution to the network. The feature, known as Routing Protocol, relies on Human to enable discovery of network generators, fee agreements, consensus working standards, proof of balance, and governance support for network upgrades.

The human protocol started as a chain bot blocker called hCaptcha that rewarded users for solving CAPTCHAs and gradually grew into a broader solution for tokenization contribution. Human expects the open-source, community-developed routing protocol to simplify the steps for operating a network entity such as an Oracle Exchange. This stems from Routing Protocol's ability to coordinate oracles, job exchanges, tier one integrations for job postings, and job pool operators.

As an end goal, the human network seeks to leverage the peer-to-peer consensus mechanism inherent in blockchain design to solve automation tasks that cannot be performed without initial human assistance. An example of such a value proposition can be found in the field of AI-powered e-commerce marketing. Without an initial "training" dataset, a machine learning algorithm cannot effectively suggest ads to web users that are tailored to their buying behavior.

But using the human protocol, network clients can publish smart bounties for these consumer reviews and reward users for their contribution via the HMT token. The vision of the development team is to create a decentralized platform to reward data providers for those who request it. It aims to achieve the goal of facilitating direct, globally mapped connections at the intersection of workers, businesses, and machine learning, all at scale.

The Human Protocol introduces a blockchain coordination layer for data contribution

Users receive rewards for providing human protocol data, which can be used as an initial learning point for algorithms.

Human protocol introduces blockchain coordination layer for data contribution New

On Thursday, the Human Protocol Decentralized Infrastructure Project announced that it is launching a new blockchain coordination layer to manage routing functionality between third-party providers to power data contribution to the network. The feature, known as Routing Protocol, relies on Human to enable discovery of network generators, fee agreements, consensus working standards, proof of balance, and governance support for network upgrades.

The human protocol started as a chain bot blocker called hCaptcha that rewarded users for solving CAPTCHAs and gradually grew into a broader solution for tokenization contribution. Human expects the open-source, community-developed routing protocol to simplify the steps for operating a network entity such as an Oracle Exchange. This stems from Routing Protocol's ability to coordinate oracles, job exchanges, tier one integrations for job postings, and job pool operators.

As an end goal, the human network seeks to leverage the peer-to-peer consensus mechanism inherent in blockchain design to solve automation tasks that cannot be performed without initial human assistance. An example of such a value proposition can be found in the field of AI-powered e-commerce marketing. Without an initial "training" dataset, a machine learning algorithm cannot effectively suggest ads to web users that are tailored to their buying behavior.

But using the human protocol, network clients can publish smart bounties for these consumer reviews and reward users for their contribution via the HMT token. The vision of the development team is to create a decentralized platform to reward data providers for those who request it. It aims to achieve the goal of facilitating direct, globally mapped connections at the intersection of workers, businesses, and machine learning, all at scale.

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