Unpacking the ZK Sync and Layer Zero Drama: What You Need to Know

🔍1. The leaked documents reveal important details about the ZK Sync airdrop and snapshot dates.

🔐2. Layer Zero's approach to identifying civil farmers raises concerns about fairness and user privacy.

🚫3. Merkle trees, used by Merkle Air Drop (Merkley), are being criticized as a tool for civil farming.

🔢4. Filter algorithms based on transaction volume and wallet clusters are used to identify civil farmers.

🖇️5. Self-reporting as a civil farmer may result in being blacklisted by Layer Zero and other projects.

Should I be worried if I use Merkle Air Drop (Merkley) for Minting and Bridging on Layer Zero?

—No, using Merkle Air Drop does not automatically disqualify you. Layer Zero will manually review wallet behavior to determine if it constitutes civil farming.

What are the challenges of detecting civil farmers?

—Identifying civil farmers is complicated due to the need to differentiate between legitimate users and spam activity. Layer Zero's methods, such as ownership graphs, can still result in false positives.

Should I self-report as a civil farmer?

—Self-reporting is a personal decision. However, it's important to consider the potential consequences, such as being blacklisted by Layer Zero and other projects.

What are the implications of being blacklisted as a civil farmer?

—Being blacklisted can impact your participation in future airdrops and projects. Your wallet address may be shared among projects to prevent civil farming.

Is the snapshot for the ZK Sync airdrop already taken?

—The exact snapshot date is uncertain. However, leaked documents suggest the snapshot may not have occurred yet, allowing users more time to meet the airdrop criteria.

00:01Introduction to the ZK Sync and Layer Zero drama and the importance of understanding the situation.

07:40Discussion about the leaked documents and insights into the ZK Sync airdrop and snapshot dates.

10:50Exploration of Layer Zero's approach to identifying civil farmers and concerns about fairness and user privacy.

19:10Analysis of Merkle trees and the criticism surrounding them as a tool for civil farming.

26:30Explanation of the algorithms used to detect civil farmers, including filter algorithms and ownership graphs.

33:15Discussion about the implications of self-reporting as a civil farmer and the potential consequences of being blacklisted.

40:50Answering frequently asked questions related to Merkle Air Drop, detecting civil farmers, self-reporting, blacklisting, and the snapshot date.