The AI boom of 2026 has created a massive problem: where do we store the terabytes of training data and model weights in a way that is verifiable and tamper-proof? Centralized clouds offer no "proof of origin," which is a dealbreaker for ethical AI development. @Walrus 🦭/acc has stepped in as the primary data availability layer for decentralized AI (DeAI).
By using $WAL to secure datasets, AI researchers can ensure that their data hasn't been altered. Projects like OpenGradient are already storing over a terabyte of AI datasets on Walrus. This integration allows smart contracts to "read" AI models directly, enabling on-chain inference that was previously impossible. As AI continues to dominate the global economy, the infrastructure that holds its "brain" (the data) will be the most valuable layer. This is why the intersection of AI and $WAL is one of the most bullish narratives of the year. #walrus
