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Grass testing has ended, the airdrop plan is approaching, and 2 million users are迎来重大机遇.
Grass has completed the testing phase, and the airdrop plan will be unveiled soon.
The Grass platform recently announced that its closed testing phase has concluded and is currently taking snapshots to determine the eligibility for the upcoming Airdrop. Users' network participation will serve as the main basis for receiving rewards, and this participation will be weighted according to different periods.
The platform stated that in the coming weeks, they will release detailed Airdrop eligibility check guidelines and share more information about token economics. The next phase of Grass's development will shift from building core infrastructure to supporting large-scale development, focusing on developing applications that combine user interests with network functionality.
Currently, the number of users of Grass has exceeded 2 million. As a decentralized network, Grass aims to provide the necessary data for AI model training through access to public networks. This makes Grass a key component of the AI data layer as it expands into data cleaning and structured dataset preparation, establishing its foundational position in the field of artificial intelligence.
Financing and Technical Background
The team behind Grass, Wynd Network, recently completed an important round of financing totaling $4.5 million. This funding will be used to strengthen Grass's technical infrastructure, expand the node network, and improve the data verification process.
Grass is a decentralized bandwidth market that allows users to sell idle internet connections, helping AI labs acquire the network data needed for training models. The platform leverages users' IP addresses to sell excess bandwidth while ensuring user privacy and data security.
The core technology of Grass, Socrates, is developed by Wynd Labs, which specializes in collecting unstructured data from the internet and structuring it. This makes Grass an AI data warehouse that provides the data needed for model training for other AI systems.
As the first project on Solana that combines AI, Depin, and Solana technology, Grass positions itself as the data layer for AI. In the AI development process, the data layer is responsible for the collection and preparation of data, providing the foundation for model training. The quality of data is crucial for the performance of AI models because even the most advanced models can yield inaccurate predictions if the training data is biased or of low quality.
Grass has established a distributed crawler network with over 2 million nodes, aiming to crawl the entire internet. This demonstrates the immense potential of economic incentives in attracting valuable resources.
Market Outlook Analysis
Grass is built on Solana, leveraging its high throughput advantages. To address the challenges of tracing each fetching task in L1 storage, Grass has developed a rollup system that uses a ZK processor to batch process the provenance proofs and then publish them to Solana.
Compared to centralized residential agency providers, Grass's Web3 approach has several advantages: it distributes AI-generated value more fairly while saving on the costs of paying application developers for bundled code.
Grass currently has 2.2 million unique users, and it is expected that more users will join after the Token Generation Event (TGE). The Grass network is owned and operated by its users, who gain shares of the network by running nodes and earning points.
Other market advantages of Grass include:
The mission of Grass is to correct the mistakes of the Web 2.0 era and promote the development of Web3 values. By participating in Grass, users not only earn rewards for building the network but also help create a fairer and more just world.
Grass is committed to building the infrastructure needed for AI development, providing users with a way to participate in the AI revolution, while also promoting the development of decentralized and open-source AI. Its innovative and unique positioning allows it to occupy an important place in the fields of AI and Web3, with the potential to become a leader in this area.