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https://warpcast.com/~/channel/opendb

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A deep dive into Openledger A(I) Meeting During this year's Ether Seoul Week, I met many people, but at one event, I arrived toward the end of the session. As I looked around and headed to the finger food area to grab a glass of water, I naturally started conversations with others, given the networking atmosphere. We began “pitching” what we do to each other. As the conversation grew, the group expanded, and when I was introduced as someone who creates content, some overseas project managers asked about the Korean content market and the tendencies of Korean investors. 👇

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2) Among them, a few people showed particular interest. After the conversation, they asked if we could grab coffee later, and I agreed, so we moved to another location. Over coffee, we discussed various topics, and their keen interest in the Korean market stood out. What intrigued me about their story was that they were already working on AI-related businesses in Silicon Valley with an established business model (BM). They were passionate about building an L2 to create a robust AI infrastructure. They also showed a strong desire to understand the Korean market and were deeply thoughtful about how to get Korean audiences interested in their project. As we talked, the team’s founders passionately shared their vision in a cozy café over drinks. This led me to take an interest in a project called OpenLedger, which I had previously encountered at Kaito. They proposed collaborating as an ambassador, and I accepted. Moving forward, I plan to conduct various research on OpenLedger until its TGE.👇

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3) AI Development AI is rapidly transforming our lives, but everyday adoption lags behind. While many have tried ChatGPT, few use AI for 80-90% of their work to boost efficiency. Like smartphones, AI will drive major changes, and those in blockchain, investment, and future trends must act early. AI growth requires GPU power (fueling NVIDIA’s rise) and high-quality data, demand for which is growing. However, data contributors are often undercompensated. OpenLedger addresses this by building a blockchain-based, decentralized AI data economy, ensuring fair rewards for contributors, developers, and users. 👇

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4) What is OpenLedger, and Why is it Needed? AI Data Compensation Issues AI performance hinges on high-quality data, especially for specialized models (SLMs) in fields like law, healthcare, finance, or blockchain. Yet, the data market has two key problems: - Undercompensated Contributors: Researchers and experts creating high-quality data rarely receive fair rewards, as data is often sold once or monopolized by corporations. - Inefficient Data Sourcing: Companies struggle to secure reliable, high-quality data, which is often scattered. OpenLedger’s Payable AI solves this by continuously rewarding contributors each time their data is used, replacing one-time payments. It builds a decentralized platform connecting contributors, AI developers, and users for a fairer ecosystem.

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5) The Core of OpenLedger OpenLedger, like YouTube for video creators, aims to be the “YouTube of AI data,” enabling data creators to share expertise and earn ongoing revenue. Key features: - Specialized AI Models (SLMs): Unlike general LLMs, SLMs are tailored for domains like blockchain (e.g., Solidity AI) or healthcare (e.g., diagnostic AI). - DataNets: Domain-specific data pools, like Web3 Trading DataNet, combining on-chain data, sentiment analysis, and wallet analytics for trading AI. - Proof of Attribution (PoA): Tracks data contributions to AI outputs, ensuring transparent, fair rewards. - EVM-Compatible L2 Blockchain: Uses OP Stack to manage data and rewards via smart contracts.

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