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The afternoon is a good time to slow down a bit and take a deeper look at what is being built behind the market. ------------------------------------------- 1/ DGrid AI has not officially disclosed the number of AI models currently deployed in its ecosystem. However, DGrid AI is showing signs of expansion as more contributions come from the community and builders. Its approach differs from the centralized model of OpenAI by prioritizing an open marketplace. At this stage, DGrid AI’s primary users are still developers and builders. These users need flexible AI solutions to integrate into their products while optimizing operational costs. Mainstream users may come later, once the experience becomes more simplified. ------------------------------------------- 2/ As for Dango, the project is focused on improving the user experience in DeFi. Dango is likely implementing account abstraction to remove the complexity of managing private keys. As a result, Dango can offer a more Web2-like experience compared to wallets like MetaMask. Users can interact without needing a deep understanding of blockchain. Another key feature of Dango is its DeFi automation. Users can select strategies, and the system will automatically execute transactions on their behalf. This significantly simplifies the process compared to manually interacting with platforms like Uniswap. ------------------------------------------- 3/ On the infrastructure side, 0G Labs is focused on solving the problem of AI data integrity. 0G Labs uses cryptographic verification mechanisms to ensure that data cannot be tampered with or falsified. Combined with a data availability layer, 0G Labs creates a reliable foundation for decentralized AI. This approach can be compared to systems like Google Cloud, but in a more open and decentralized way. However, a complete mainnet for 0G Labs does not yet have a confirmed timeline. The project is still in the process of refining its infrastructure and expanding its ecosystem. ------------------------------------------- 4/ As for PermawebDAO, its direction focuses on content and long-term storage. PermacastApp by PermawebDAO enables data to exist permanently, though migration is not as flexible as traditional cloud systems. In some cases, data migration is still possible depending on the underlying storage architecture. This reflects a trade-off between permanence and flexibility. At the moment, PermawebDAO does not yet have major content or well-known creators. To reach the scale of platforms like Spotify or YouTube, PermacastApp will need more time to grow. Overall, each project is solving a different problem within the AI and Web3 ecosystem. And it is precisely these differences that will determine who breaks out in the future.




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