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Pundi AI and Okratech Collaborate to Redefine Data, Work, and AI Ownership Onchain

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Pundi AI has formed a new partnership with Okratech, the Web3 development team behind Ortcoin and OrtJob, as the next step in the development of an AI-native onchain economy. The collaboration links the Okratech open work network with the decentralized data infrastructure of Pundi AI allowing real human contributions to pass it through and become a verifiable and valuable data layer to artificial intelligence systems.

This change is indicative of an increased trend in Web3 and AI towards ownership of open data, clear incentives, and people-centric machine learning. Having decentralized work platforms coupled with onchain data infrastructure, the two teams are out to reinvent the nature of AI training, validation, and rewarding.

Okratech’s Vision for a Decentralized Future of Work

Okratech is developing an onchain economy of digital labor, in the form of the products OrtJob and its Web3 App Store. On these platforms, freelancers, creators, and builders can communicate without intermediaries and turn their skills and services into permissionless, borderless opportunities.

With the help of OrtJob, donors will be able to provide services, fulfill assignments, and recompense it in a completely decentralized economy. The broader ecosystem by Okratech attempts to provide a future in which work in digital has become transparent, trustless and accessible to all, whether in the same geography or not. This method has become very close to the main principles of Web3 where the focus is on ownership, fairness, and openness.

Turning Human Effort Into AI-Ready Data

In the case of Pundi AI , the collaboration will be a significant move towards developing more human-centered AI systems. The current models of AI models are mostly based on closed data, abstract data or centralized datasets usually without connection to the real activities of people. Through the work-driven ecosystem that Okratech provides, Pundi AI transforms human work into systematized, onchain data, e.g. tagging data, annotating data, validating data, classifying data.

Not only is the process of record keeping transparent but translated into data that AI models can learn directly. It is a method that guarantees that the human effort is traceable and quantifiable and that it is rewarded fairly as well as enhancing the quality of data to the developers and researchers.

A Shared Marketplace for Data and Opportunity

Using the decentralized data platform and marketplace of Pundi AI, the activities generated in the ecosystem of Okratech may be structured and tagged into datasets that are usable. The contributors are rewarded on their efforts, and the developers get access to quality data with provenance at a trusted level.

Meanwhile, Web3 App Store by Okratech is important in distribution. Through allowing access to the data in a Pundi AI dataset, via an app-like interface, AI data is as easy to install as a software program. This reduces the development barriers and widens the ecosystem participation.

Aligning Open Data With Decentralized AI

The Pundi AI and Okratech are similar in their mission of ensuring that the data remains open, decentralized, and owned by the creators. Okratech aims at structuring human labor in a permissionless manner, whereas Pundi AI is specializing in changing that labor into AI-ready digital commodities.

With the cooperation, human labor itself is directly tied to decentralized AI infrastructure. The model enables machines to learn through people and also have contributors remain at the value creation core. With the increasing use of artificial intelligence, such partnerships highlight an emerging direction of a more equitable, more open, and human-centered AI economy that is chain-based.

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