Artificial Intelligence is hungry for data, but storing massive training sets on-chain has always been a technical impossibility—until now. @walrusprotocol is uniquely positioned to become the backbone of Decentralized AI.
Large Language Models (LLMs) and generative AI require gigabytes of verifiable datasets. Storing these on a centralized cloud creates a "kill switch" for the AI, but storing them via #Walrus ensures that the data is both censorship-resistant and highly available. Thanks to the "Red Stuff" erasure coding, even if a significant portion of the network faces issues, the AI's "memory" remains intact.
The utility of $WAL extends into this AI frontier. We can now envision a future where autonomous AI agents use $WAL to pay for their own storage needs, hosting their own checkpoints and results without human intervention. This creates a truly sovereign digital entity. As AI continues to dominate the tech conversation, the infrastructure provided by @walrusprotocol will be the foundation that allows Web3 AI to scale securely. #Walrus is more than storage; it's the memory of the future.
