Grass has finished closed testing and is preparing for the Airdrop.

On August 15, Grass announced the end of the closed testing phase and began taking snapshots to determine eligibility for the upcoming Airdrop. Users' network participation (weighted by time period) will serve as the benchmark for receiving rewards.

The team plans to provide a detailed Airdrop eligibility checklist in the coming weeks and share more information about token economics. The next phase of Grass will shift from building core infrastructure to supporting large-scale development, focusing on applications that combine user interest with network functionality.

It is reported that the number of users of Grass has reached 2 million. As a decentralized network, Grass aims to provide the necessary data for AI model training by accessing public networks. This makes Grass a key component of the AI data layer as it expands into the process of cleaning and preparing structured datasets, establishing its foundational position in the field of AI.

Financing and Technical Background

The team behind Grass successfully completed a $3.5 million seed round financing. Adding to the previous seed round pre-financing, the total financing amount reached $4.5 million. These funds will be used to enhance the technical infrastructure, expand the node network, and improve the data verification process.

Grass is a decentralized bandwidth market where users can assist AI laboratories in obtaining the network data required for training models by selling their idle internet connections. The entire process ensures the privacy and data security of users.

The collected bandwidth is used to extract raw data from the network and convert it into AI datasets. Grass's core technology specializes in collecting unstructured data from the web and structuring it for easier reading. Thus, Grass becomes an AI data warehouse, providing the data needed for model training to other AI systems.

Grass is the first project deployed on a certain public chain that combines AI and DePIN technology, positioned as the AI data layer. The AI data layer is a key starting phase in the artificial intelligence development process, primarily responsible for data collection and preparation, providing the foundation for model training.

In the fusion of AI and Web3, data serves as a core component and, along with computing resources, constitutes a key resource in the competition for AI. Grass has established a distributed crawler network with over 2 million nodes, actively sharing internet bandwidth with the goal of crawling the entire internet.

Market Potential

Grass is built on a certain public chain, allowing it to leverage the high throughput advantages of that chain. To solve the storage problem, Grass has constructed a rollup that uses ZK processors to batch process provenance proofs and then publishes them on-chain.

Grass's Web3-first approach offers several advantages over centralized residential agent providers. First, by incentivizing users to share bandwidth directly through rewards, it more equitably distributes the value generated by AI, while also saving on the costs of paying app developers to bundle their code.

Grass currently has 2.2 million independent users, and it is expected that more users will join after the token generation event. The Grass network is owned and operated by its users, who earn shares in the network by running nodes and earning Grass points.

Other market potentials include:

• Wide node distribution: from over 190 countries
• Strong technical foundation: handling 1 million network requests per second
• Long project lifecycle: has a robust product roadmap.
• Powerful and reliable investment support
• Easy to participate: Running a Grass node is very simple

Grass not only helps in training traditional artificial intelligence but also supports the creation of decentralized and open-source AI by creating alternative pathways to access network data. If Grass's user base expands by just 20 times, it will have the capability to train a system from scratch that can replace a certain well-known AI, which is one of the reasons it has the potential to become a leader in the DEPIN track.

Summary

Grass is committed to correcting the mistakes of the Web 2.0 era and promoting the values of Web 3. By participating in Grass, users not only earn rewards for building the network but also help create a fairer and more just world.

In this process, Grass provides users with a way to participate in the AI revolution while promoting the development of decentralized and open-source AI, allowing everyone to fairly access and utilize public network data. Grass's innovation and unique positioning have established it as a significant player in the AI and Web3 fields, with the potential to become a leader in this domain.