Grass announces the end of closed testing, Airdrop is coming soon

Recently, a certain company announced that its closed testing phase has ended and is currently taking snapshots to determine eligibility for the upcoming Airdrop. Users' network participation (weighted by time period) will serve as the benchmark for receiving rewards.

In the coming weeks, the team will provide a detailed Airdrop eligibility checklist and share more information about the tokenomics. The future phase of the project will shift from building core infrastructure to supporting large-scale development, focusing on applications that combine user interest with the network.

According to reports, the number of users of the project has reached 2 million. As a decentralized network, the project aims to provide the necessary data for AI model training by accessing the public network. This makes it an important component of the AI data layer as it expands to clean and prepare structured datasets, establishing its foundational position in the field of AI.

Financing and Technical Background

The team behind the project successfully completed a $3.5 million seed round financing led by two well-known investment institutions. Adding the previous pre-seed financing, the team's total funding reached $4.5 million.

This round of financing has received support from multiple companies. The funds will be used to enhance the project's technical infrastructure, expand the node network, and improve the data validation process.

The project is a decentralized bandwidth marketplace where users can help AI labs acquire network data for training models by selling their idle internet connections. The project utilizes users' IP addresses to sell excess bandwidth, thereby bypassing the restrictions many websites impose on data center IP addresses. The entire process is anonymous and completely private, ensuring 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. These datasets are very useful for AI developers and researchers who require a large amount of training data. The core technology of the project is an AI development tool that specializes in collecting unstructured data from the web and structuring it for easier reading. Therefore, the project has become an AI data warehouse that provides the data needed for model training to other AI systems.

As the first project that combines AI, Depin, and a certain public chain technology, it is positioned as the data layer for AI.

The AI data layer is a critical initial stage in the artificial intelligence development process, primarily responsible for data collection and preparation, providing the foundation for model training. In the AI field, the quality of data is crucial, as the capabilities of the model rely entirely on the relevance and patterns within the training data. Even the most advanced AI models can yield inaccurate predictions if their training data contain biases or are of low quality.

In addition, in the integration of AI and Web3, data, as a core component, along with computing resources, constitutes a key resource in AI competition. Although most of the industry's attention is focused on the computational aspect, the raw data obtained during the data acquisition process offers many interesting value directions, mainly including access to public internet data and data protection.

The project has established a distributed crawler network with over 2 million nodes, actively sharing internet bandwidth, with the goal of crawling the entire internet. This demonstrates the tremendous potential of economic incentives in attracting valuable resources.

In summary, this project serves as a representative of the AI data layer, allowing users to participate in the data preparation and collection process and benefit from it. This process is not only crucial for the performance of AI models but also accounts for a significant portion of the total workload involved in implementing AI systems.

Market Potential

The project is built on a certain public blockchain, which allows it to leverage the advantages of high throughput. However, storing the provenance of each scraping task on L1 is not feasible; therefore, the project has constructed a rollup that uses a ZK processor to batch process provenance proofs and then publish them to the public blockchain. This rollup is called "AI Data Layer," serving as the data ledger for all scraped data.

The project's Web3-first approach offers several advantages over centralized residential proxy providers. Firstly, by incentivizing users to share bandwidth directly through rewards, it more equitably distributes the value generated by AI while also saving on the costs associated with developers bundling their code.

In terms of market potential, the project currently has 2.2 million independent users, and more users will flock in after the token generation event, as they realize there are no negative impacts. Moreover, the network is owned and operated by its users. Users earn shares of the network by running nodes and earning points, as they help operate the network. Unlike other networks, this project aims to be a fair collective project that benefits all participants, not just a privileged few.

Other market potentials also include:

• Wide distribution: Nodes come from over 190 countries, with 50% in the Asia-Pacific region, 40% in the United States and the European Union, and 10% in other parts of the world.
• Strong technical foundation: Processing 1 million network requests per second, and within just one week, it has crawled public data through over 2.2 million nodes globally, possessing the strength to compete with large technology companies.
• Long project lifecycle: It has a robust product roadmap and is continuously expanding.
• Strong and reliable investment support: Led by well-known investment institutions with a luxurious lineup of investors.
• Easy to participate: Running a node is very simple; users just need to register and install the browser extension, and the application will handle the rest. This allows anyone to participate in AI development with almost no effort.

This project not only helps to train traditional artificial intelligence but also supports the creation of decentralized and open-source AI by creating alternative pathways to access network data. Traditionally, large tech companies have monopolized the indexing rights to public network data, and this project strives to provide this service to ensure that everyone can access public network data, preventing a few companies from monopolizing the development of AI.

If the project's user base expands by 20 times, it will have the capability to train an AI from scratch that can replace mainstream AI chatbots, which is one of the reasons it has the potential to become a leader in the DEPIN track.

Summary

The mission of this project is to correct the mistakes of the Web 2.0 era and promote the values of Web3. By participating, users are not only rewarded for building the network but also help create a fairer and more just world. The development of AI begins at the data layer, and this project is committed to building the infrastructure needed for the world we want to live in.

In this process, the project not only provides users with a way to participate in the AI revolution but also promotes the development of decentralized and open-source AI, allowing everyone to access and utilize public network data fairly. Its innovation and unique positioning have enabled it to occupy an important place in the fields of AI and Web3, and it is expected to become a leader in this area.