DIN (formerly Web3Go) has strategically repositioned itself post-rebranding to better align with the growing AI data sector and the evolving Web3 landscape. As the global AI and technology fields advance, DIN aims to facilitate the widespread adoption of AI-native applications on the blockchain. In May 2024, DIN launched its first AI data collection node, xData, which garnered positive feedback from the technical community. This development represents DIN’s shift towards AI-focused infrastructure and data intelligence networks, capitalizing on the growing importance of AI in shaping future digital ecosystems.
DIN's revamped strategic goals focus on expanding AI data preprocessing and transformation capabilities. It has broadened its partnership efforts, actively collaborating with AI projects across platforms like Twitter and exploring opportunities with various blockchain ecosystems including BNB, Moonbeam, and Solana. Additionally, DIN plans to enhance its infrastructure by developing AI data processing nodes and monetizing AI data hardware to further increase platform liquidity and user participation.
The introduction of xData plays a critical role in this transformation. This platform enables users to collect and monetize off-chain data through a browser plugin and point-based system. By holding inexpensive NFTs, users earn "Wafer" points, which can be exchanged for the DIN token. The collected data is used for AI model training, contributing to AI applications and projects, and offering users a simple, non-technical way to engage in data collection.
In addition, DIN’s innovative approach includes "Data Farming" incentives, where participants gather and validate data to earn rewards, fostering a more user-friendly and automated data ecosystem. These rewards can be exchanged for DIN tokens during its upcoming token generation event (TGE).
Through these strategic changes, DIN is positioning itself as a leader in the AI and data intelligence network sector, aiming to bridge the gap between AI development, blockchain infrastructure, and user-driven data contributions.
