# Trust and Verification of AI Learning Data: Challenges and Solutions
With the advancement of artificial intelligence (AI) technologies, the reliability and verification of the data used for AI training have become prominent issues. While vast amounts of publicly available data are being utilized for AI learning, there is an increasing trend to use personal and corporate data to create more sophisticated models. Consequently, concerns about the trustworthiness and verification procedures of such data are growing.
The project ‘Swarm,’ which leverages on-chain Web3 technology to verify AI data reliability, is gaining attention as a solution to these challenges. Yannick Maisson, the founder of Swarm, suggests a decentralized approach to data verification, aiming to foster a healthy AI agent ecosystem.
# Introduction to Swarm
Swarm is a platform that enhances AI learning accuracy by verifying data through multiple agents in a decentralized manner. This data is then securely integrated into smart contracts. By adopting a differentiated approach from traditional centralized data verification services and oracle solutions, Swarm aims to combine the Web3 ecosystem with AI technology.
## Interview with Yannick Maisson
**Q: Hello, Yannick. Thank you for your time today. Could you introduce yourself and explain your role at Swarm? Also, share with us the vision and goals of Swarm.**
A: I am delighted to represent the Swarm Network. Swarm is a decentralized framework aiming to deliver truth to the world. Our vision is to verify arbitrary data and safely upload it on-chain. We operate a group of agents called ‘Swarm’ with specific purposes, managed under human supervision. Users can create their own swarms and manage tasks related to various protocols, ensuring data verification’s reliability.
**Q: Can you explain how Swarm works and the process of handling and formatting arbitrary data, with an example?**
A: Swarm processes unverified on-chain data through a network of decentralized AI agents. These agents verify data from various sources and reach consensus before validation. For instance, assume obtaining Solana’s price data from a decentralized exchange (DEX). Our protocol ensures agents verify this data before uploading it on-chain. From the user’s perspective, there is a product called ‘Rollup News’ on Twitter. If a user tags a Twitter thread with ‘rollup,’ the protocol analyzes the content and breaks it down into atomic claims (the smallest verifiable units). Agents then verify the claim, providing feedback on whether it is true, false, or unverifiable. This methodology can be applied to various fields, including scientific research and blockchain data.
**Q: The concept of arbitrary data might be unfamiliar to some. Can you explain it in simpler terms?**
A: Yes, arbitrary data refers to information selected without specific constraints. It can include text, numbers, or complex datasets. In a blockchain context, arbitrary data means social media posts, financial data, or scientific research material not yet verified on-chain. Swarm processes and verifies such data to ensure it can be trusted.
**Q: How does Swarm differentiate itself from existing data verification platforms, oracles, and fact-checking services?**
A: Great question. Swarm’s biggest differentiator is its fully decentralized structure and the use of AI agents. Traditional centralized oracles have single control points, but Swarm performs data verification across a decentralized network to reduce bias and increase accuracy. Furthermore, Swarm employs zero-knowledge proof (ZKP) technology to maintain data privacy while ensuring reliability. While traditional platforms mainly rely on human verification, Swarm automates this process with AI agents, enhancing scalability and cost-efficiency. This approach builds a middleware execution layer for decentralized applications, beyond just an oracle service.
**Q: The role of the Swarm token seems crucial. How can users utilize Swarm tokens?**
A: SWARM tokens are a core element of the ecosystem, incentivizing participants and facilitating transactions. Users can earn tokens by operating verification agents, providing data, or creating new swarms. Tokens are used for agent deployment, claim verification, and participation in the data market. For instance, a user wanting to verify the accuracy of a financial report can stake Swarm tokens to activate agents. Companies can use Swarm to seamlessly integrate on-chain and off-chain data.
**Q: Please share Swarm’s future plans and expansion strategies.**
A: Swarm’s ultimate goal is to become a reliable decentralized verification platform across various industries. We are currently preparing to leverage Swarm in decentralized finance (DeFi), social media verification, and scientific data validation. Looking forward, we plan to support more developers and businesses in building customized applications on the Swarm platform. We are also scheduling a node sale at 9 PM KST on the 27th, aiming to provide all individuals and organizations with trustworthy information through decentralized data verification.
### Clarification on Agent License Sales
When you purchase an Agent License on the Swarm Network, you’ll receive:
1. A locked license that starts earning rewards immediately.
2. An NFT to unlock your license after six months.
Important: “You cannot unlock the license without…”
