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.@UngateAI Wukong’s architecture uses
Filecoin
for archival of AI-generated proofs. This allows that every agent action can be independently verified, months or even years later without relying on centralized databases or opaque logging systems
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The latest version of @akavenetwork O3 blocks public ACLs and enforces bucket policies when access restrictions are active. It prevents risky access while still supporting S3, so teams stay in control without changing how their tools work.
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AI models are often updated or removed without warning by centralized services. With CryptoModels, @CryptoEternalAI gives developers long-term access by storing files on Filecoin, where they can’t be arbitrarily modified or taken down.
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The number of clients with more than 1 TiB of active data shows true engagement. This metric filters out noise and helps assess real adoption, using Lily BigQuery to identify which clients are sustaining long-term data on the network.
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In case you missed it: Back in March, @FilFoundation shared an in-depth article on how decentralized storage can help AI agents work more transparently, act independently, and stay reliable over time. Several projects using Filecoin are already moving in this direction.
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Who’s paying for decentralized storage? @FilecoinTLDR breaks it down in this deep dive on Filecoin’s ideal customer profiles. 🔹 Paying user segments 🔹 Adoption trends 🔹 High-opportunity areas 🔹 Strategies for growth
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