OpenLedger: Blockchain-driven dedicated AI ecosystem innovation

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OpenLedger: Blockchain network of dedicated AI language models

OpenLedger is a decentralized network that combines AI and Blockchain technology, aiming to create a decentralized AI ecosystem where participants can fairly contribute data, develop AI models, and earn profits from it.

Project Overview

The core of OpenLedger is to build a specialized AI language model (SLM), rather than a general-purpose large language model. It is based on a dedicated data network (Datanets) to collect, clean, and transform data for specialized AI model developers. Through a proof of attribution mechanism built on blockchain technology, OpenLedger can identify the source of data and attribute rights to specific data providers, achieving precise rights attribution and incentives.

The project proposes the concept of "Payable AI", which means that AI models can not only be used but also automatically allocate earnings to data providers and model developers based on their contributions. This mechanism is particularly suitable for the field of specialized language models, fully leveraging the advantages of Blockchain technology.

Operating Principle

  1. Datanets: A specialized data market that collects data for different fields. Anyone can upload data, which becomes the raw material for AI training after being organized and cleaned. Blockchain technology ensures a transparent record of data uploads and usage.

  2. Proof of Attribution: Core technology used to track every output of AI models, determining which data and contributions were used. Blockchain ensures that this credit allocation process is transparent and immutable.

  3. Payable AI: Let AI models become assets that can generate their own income. Developers deploy AI models on OpenLedger, and users pay when using them, with revenues automatically distributed to data contributors and model developers via Blockchain.

  4. Decentralized Network: Data and AI models are distributed across global nodes to avoid centralization risks. Users can run nodes to participate in storing data and AI computations, earning rewards.

Problems Addressed

  1. Transparency of Data Sources: Use Blockchain to record data sources and usage, ensuring that contributors are treated fairly.

  2. Reduce Centralization Risks: Data and models are not monopolized by a single company, allowing users to participate in network operations, resulting in more distributed power.

  3. Contributors are rewarded: Payable AI allows every contributor to share in the profits, encouraging more people to participate and improving data quality.

  4. Promote Diversity in AI Models: Focus on the field of specialized language models to meet niche demands, such as local language translation.

The Role of Blockchain Technology

  • Accounting: Record data uploads, usage, and revenue sharing to ensure transparency and immutability.
  • Distribution of earnings: Automatically distribute earnings in proportion through smart contracts.
  • Decentralization: Distributing data and computational tasks across global nodes.
  • Security: Data is encrypted and stored to prevent tampering.
  • Incentive mechanism: Distributing token rewards to node operators and data contributors.

Summary

OpenLedger creates a fair and transparent ecosystem for dedicated AI models by combining Blockchain and AI technology. It cleverly uses Blockchain to address key issues in the field of dedicated language models, demonstrating new possibilities in the integration of Blockchain and AI. This approach is not only based on technical requirements but also grounded in market demand, showcasing the practical application value of Blockchain in the field of AI.

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BearMarketMonkvip
· 07-05 03:55
Looks like we still have to endure how many more rounds of Bear Market.
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AirdropHustlervip
· 07-03 10:14
Another thing to Be Played for Suckers.
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digital_archaeologistvip
· 07-03 04:35
Cut another Be Played for Suckers.
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WhaleWatchervip
· 07-03 04:27
Another Be Played for Suckers project has arrived.
View OriginalReply0
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