What is Grass?

Summary: Grass, the first Layer 2 Data Rollup on the Solana blockchain, optimizes AI data sourcing with its decentralized architecture. It uses validators, routers, and nodes to secure and verify public web data, providing reliable, traceable datasets for AI training. It also features the Grass Airdrop Points Program, designed to incentivize user participation and expand the network through a structured referral system.

To begin earning rewards with Grass, a referral code is required. Support our research and get started by using our referral code available here.

What is Grass?

Grass is the first-ever Layer 2 Data Rollup built on the Solana blockchain, focused on enhancing AI development through efficient data acquisition and processing. It utilizes a distributed network of web scraping nodes, operated by residential internet users, to gather, clean, and organize publicly available web data into structured datasets essential for training AI models.

The operational backbone of Grass includes Validators, Routers, and Grass Nodes, each integral to the system's function. Validators are responsible for data verification, Routers maintain data flow and node connectivity, and Grass Nodes utilize unused bandwidth to access and transmit public web data. This setup not only preserves the data's integrity and traceability but also promotes network decentralization and scalability.

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How Does Grass Work?

Grass introduces itself as the pioneering Layer 2 Data Rollup, ready to reshape AI by tackling the crucial issue of data origin. Boasting the ability to handle 1 million transactions per second on the Solana blockchain, Grass is elevating AI data processing to new heights. This breakthrough allows AI developers to trace training data back to its source with unmatched clarity, ensuring datasets are bias-free and genuinely representative.

Here’s a breakdown of how Grass functions:

• Validators: These validators initiate and verify web transactions, and also produce zk-SNARK proofs to secure and validate the data, ensuring its authenticity before it’s recorded on the blockchain.
• Routers: Routers connect the Grass Nodes to Validators, managing the distribution and accountability of the network’s data traffic. They relay information while also ensuring that data integrity and security are maintained across nodes.
• Grass Nodes: Operated by users, Grass nodes employ underutilized bandwidth to scrape public web data. The data is then encrypted and sent through the network to ensure privacy and security.
• ZK Processor: This component batches validity proofs of all session data from web requests and logs them on the blockchain, creating an immutable record of the data scraping operation.
• Grass Data Ledger: It acts as a repository, linking data sets to their zk-SNARK proofs. This ledger guarantees the authenticity and lineage of the data, allowing for traceable and verifiable AI training datasets.
• Edge Embedding Models: In the final step, this process converts the scraped unstructured web data into a structured format ready for AI use, involving necessary data cleaning and normalization steps.

By orchestrating these components, Grass efficiently produces reliable and scalable datasets necessary for training robust AI systems.

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How Do I Use Grass?

Using Grass involves a straightforward process tailored to enhance AI data collection and model training. Here's a simple guide to get started:

1. Download and Install: Begin by downloading the Grass application or extension from the official website or platform store. Follow the instructions for installation on your device.
2. Set Up Your Account: Once installed, open Grass and create an account. You might need to provide basic information and verify your email address or mobile number for security purposes.
3. Start Collecting Data: With Grass, you can participate in data collection by running the application in the background. Your device acts as a node, scraping and processing web data for AI training purposes.
4. Refer and Earn Rewards: Utilize the referral program by sharing your unique referral link. You'll earn Grass Points for every successful referral and additional points as your referrals become active users.
5. Monitor Your Progress: Keep track of your contributions and rewards through the Grass dashboard. Here, you can see your points balance, referral statistics, and any bonuses you've earned.
6. Utilize Your Earnings: Depending on Grass's tokenomics and reward structure, you may be able to use your earned points or tokens within the ecosystem or exchange them for other benefits.

By following these steps, you'll not only contribute to the advancement of AI but also benefit from Grass's innovative reward system.

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Grass Airdrop Points Program

Grass's Airdrop Points Program is designed to enhance community engagement through a rewarding points system. Simply download the Grass app and start earning points immediately. When you refer new users via your unique link, you earn a continuous 20% of their accrued points. Moreover, you'll receive a 2,500-point bonus when your referral logs 100 hours of uptime.

The rewards escalate further through secondary and tertiary referral levels, amplifying your point accumulation. As participants progress from Iron to Titan, the program offers increasingly substantial rewards, including a 5,000-point bonus for new referrals upon reaching 100 hours of uptime. Both the new user and the referrer benefit from this scheme.

The Epoch System provides a monthly overview of your points, reflecting your active participation and growth within the Grass ecosystem. Dive in, start referring, and observe how quickly your points and rewards grow.

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Grass Tokenomics

Grass's tokenomics are designed to support its Layer 2 Data Rollup infrastructure, emphasizing sustainability, participation incentives, and the facilitation of a transparent AI development ecosystem. While specific details might evolve, the fundamental aspects likely include:

• Utility Token: Grass introduces a utility token that serves multiple roles within its ecosystem. This token is used for transactions, staking, and rewarding nodes contributing to data collection and validation.
• Rewards for Data Provision: Nodes that scrape and validate web data for AI training are rewarded with Grass tokens. This incentivizes participation and expands the network’s capacity for data collection.
• Staking Mechanism: Token holders can stake their tokens to participate in network governance, security, and to earn staking rewards. This mechanism encourages long-term holding and network investment.
• Transaction Fees: A portion of the transactions processed by Grass, including data validation and dataset access, may require payment in Grass tokens, ensuring constant demand and utility for the token.
• Decentralized Governance: Grass token holders have governance rights, allowing them to vote on key protocol decisions and proposals. This fosters a community-driven approach to the project's evolution.
• Burn and Mint Equilibrium: To manage token supply and encourage a healthy economy, Grass might employ a burn-and-mint mechanism, adjusting the token supply based on network activity levels to maintain token value.

These tokenomics elements are designed to promote a robust and active ecosystem around Grass, ensuring its sustainability and improving AI data provisioning and transparency.

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Grass Founders

Grass was developed by Wynd Labs, which secured a $3.5 million seed funding round led by Polychain Capital and Tribe Capital. The project also received backing from Bitscale, Big Brain, Advisors Anonymous, Typhon V, and Mozaik, following a pre-seed round led by No Limit Holdings.

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Bottom Line

In summary, Grass serves as a transformative platform within the AI sector, leveraging its unique Layer 2 Data Rollup architecture on the Solana blockchain to efficiently gather and process public web data. By utilizing a decentralized network of validators, routers, and nodes to manage data acquisition and validation, Grass ensures the authenticity and traceability of datasets essential for unbiased AI model training.

This robust framework not only supports AI development but also provides a scalable solution for managing extensive data transactions, positioning Grass as a pivotal tool in advancing AI technology.