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Post: May 20, 2025 2:55 Pm Update: May 20, 2025 2:55 pm
Edit and fact confirmation: May 20, 2025 2:55 pm
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According to OpenLEDGER CORE contributor Ramkumar, the power of the AI model requires continuous payment for data providers. Data must be valued and compensated for its usefulness.
As the AI model grows in power, it is becoming increasingly difficult to ignore where the educational data comes from and who is rewarded.
In the case of Ramkumar, the key contributor to OpenLEDGER, the answer is clear. If the data supply power to the model, the people who provide the data must continue to pay, not once.
Ramkumar said in Hack Seasons, “I want AI to pay.” If the data is useful, if the model helps to generate the output, he is eligible for shared value.
What is “AI that I can pay”?
The ideas behind the payment of AI are simple but powerful. The AI model should be able to automatically compensate for those who made the data smarter. But this requires transparency on how the model is trained and how data affects each output.
This is where OpenLEDGER appears. The platform is designed to make it smooth to upload the data, and the model for the data is fine adjusted, and decisively, it can be rewarded every time the data is used in reasoning.
“It’s not a one -time transaction like selling a data set to a company.” We are talking about the repetitive profits of the contributor, similar to the way of the creator of YouTube when the content of the content gains more views. “
Incentives make flywheels
The main innovation OpenLEDGER is a mechanism that tracks the effects of each data point on the output of the model. OpenLEDGER can assign credit (and payment) for each reasoning that the model raised.
- This creates a flywheel effect.
- The contributor uploads useful data
- The model is trained and used
- The contributors are repeatedly rewarded
Seeing value, they contribute to more high quality data
Ramkumar said, “We are building a SaaS -style economy centered on data.
Beyond the one -time transaction of Big Tech
Unlike traditional AI development, which is a company that scraps the web or pays a flat fee for personal data sets, OpenLEDGER is pushing for a more fair model.
Ramkumar said, “Companies often give up the data and have not seen any other.” This does not encourage long -term collaboration. We want to change this by providing a continuous use -based reward for small players with many niche markets. ”
I’m already making waves
OpenLEDGER is still in Testnet, but Momentum is already watching. According to RAMKUMAR, the network is contributing to a million nodes, and more than 10 AI projects are actively built.
It also partners with Real-World Enterprises, including the same name as Walmart and Dubai Tax Authority, and places the model built through this incentive-centered system.
“We’re going to the main net in about two months,” Ramkumar said. And if we do so, the goal is to open the door for more contributors and builders to join the ecosystem. “
Big picture
RAMKUMAR sees OpenLEDGER as a way to reinforce the economy of the data economy as well as tools for AI development.
“In the future, AI should not be owned by a few companies.” “Everyone who contributes from the researcher to the small business owner must be a place where you can get money and participate.”
As the AI continues to form the world, OpenLEDGER quietly lays the foundation of a fair and smart system for one reasoning at a time.
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About the author
Victoria is a writer about various technical topics, including Web3.0, AI and Cryptocurrencies. Through her extensive experience, she can write insightful articles for more audience.
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Victoria D ‘E is
Victoria is a writer about various technical topics, including Web3.0, AI and Cryptocurrencies. Through her extensive experience, she can write insightful articles for more audience.