Today, let's talk about the sparks that will fly after @Irys_xyz establishes a partnership with @Mira_Network, and the impact it will have on the entire ecosystem!
For a real example from around me, a designer friend recently experienced the contradiction between AI creation and data verification while handling the rights of digital artworks: an NFT of non-heritage patterns generated by AI could not find the original data trace when verifying the generation logic, and there was concern about the platform running away if stored on ordinary cloud storage. This is precisely a common pain point in the AI + Web3 field, and the collaboration between @Irys_xyz and @Mira_Network is providing a solution.
@Irys_xyz, as the "data highway" of Arweave, solves the efficiency and cost issues of permanent storage—batch processing of data and multi-chain payment support, akin to equipping a "digital hard drive" with a high-speed interface. Meanwhile, the core of @Mira_Network is AI output verification, which disassembles and verifies information through distributed nodes, essentially acting as an AI "trust filter." Together, these two provide a "double layer of insurance" for reliable AI results.
Take my friend's creation as an example: After generating the patterns using @Mira_Network's AI, its validation nodes will deconstruct the generation logic and form traceable statements. This data is then uploaded in bulk to Arweave for permanent storage via @Irys_xyz. In the future, whether for transactions or rights protection, one can verify the reliability of the AI used for creation through Mira, and also access the immutable original data with Irys, completely solving the issue of establishing rights.
For the entire ecosystem, this collaboration has opened up the "AI generation-validation-storage" closed loop. The verification results of Mira are more credible due to the permanent storage of Irys, and the storage services of Irys have also expanded their scenarios due to the verification needs of Mira. In key areas such as financial forecasting and medical diagnosis, this combination allows AI outputs to be both trustworthy and traceable, accelerating the integration of Web3 and the real economy.
In simple terms, the combination of the two projects is like equipping a precision instrument with a reliable calibrator and a safe. The collaboration between @Irys_xyz and @Mira_Network not only enhances their respective values but also illuminates the beacon of "trustworthy data" in the chaotic AI+Web3 field.
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Today, let's talk about the sparks that will fly after @Irys_xyz establishes a partnership with @Mira_Network, and the impact it will have on the entire ecosystem!
For a real example from around me, a designer friend recently experienced the contradiction between AI creation and data verification while handling the rights of digital artworks: an NFT of non-heritage patterns generated by AI could not find the original data trace when verifying the generation logic, and there was concern about the platform running away if stored on ordinary cloud storage. This is precisely a common pain point in the AI + Web3 field, and the collaboration between @Irys_xyz and @Mira_Network is providing a solution.
@Irys_xyz, as the "data highway" of Arweave, solves the efficiency and cost issues of permanent storage—batch processing of data and multi-chain payment support, akin to equipping a "digital hard drive" with a high-speed interface. Meanwhile, the core of @Mira_Network is AI output verification, which disassembles and verifies information through distributed nodes, essentially acting as an AI "trust filter." Together, these two provide a "double layer of insurance" for reliable AI results.
Take my friend's creation as an example: After generating the patterns using @Mira_Network's AI, its validation nodes will deconstruct the generation logic and form traceable statements. This data is then uploaded in bulk to Arweave for permanent storage via @Irys_xyz. In the future, whether for transactions or rights protection, one can verify the reliability of the AI used for creation through Mira, and also access the immutable original data with Irys, completely solving the issue of establishing rights.
For the entire ecosystem, this collaboration has opened up the "AI generation-validation-storage" closed loop. The verification results of Mira are more credible due to the permanent storage of Irys, and the storage services of Irys have also expanded their scenarios due to the verification needs of Mira. In key areas such as financial forecasting and medical diagnosis, this combination allows AI outputs to be both trustworthy and traceable, accelerating the integration of Web3 and the real economy.
In simple terms, the combination of the two projects is like equipping a precision instrument with a reliable calibrator and a safe. The collaboration between @Irys_xyz and @Mira_Network not only enhances their respective values but also illuminates the beacon of "trustworthy data" in the chaotic AI+Web3 field.
#irys #KAITO
@cn_irys_xyz @KaitoAI
@josh_benaron