The storage track needs to say something heart-wrenching in plain language. The current decentralized storage really resembles an 'electronic cold palace.' Whether you use Filecoin or Arweave, you cannot escape the word 'slow' logically. The hardware costs for packaging sectors in the former can discourage ordinary operations immediately, while the narrative of permanence in the latter sounds sophisticated, but if you want to frequently call large AI models or high-definition materials, the costs and delays are simply challenging human patience. Our current Web3 has entered an era where silicon-based agents are everywhere, and what we need is 'digital water and electricity' that can be accessed anytime, not digging through dusty archives. When Mysten Labs launched Walrus, the logic was indeed quite aggressive. They had no intention of patching things up on the old foundation but directly introduced Redstuff encoding, which is erasure coding technology. To put it simply, in the past, to prevent loss, you had to store three copies, tripling the storage costs, which is practically suicide in business logic. This Walrus guy uses mathematical methods to break files into a bunch of fragments with redundant information. Even if half of the nodes in the network go offline, you can still piece the original back together like a jigsaw puzzle without missing a piece. The most direct feeling of this approach is that storage costs plummet, and the reading speed is so fast that it doesn't feel like a decentralized protocol. This kind of asset degradation is the only way to truly realize large-scale applications. In my practical tests, I found that Walrus separates 'accounting' and 'brick moving' quite distinctly. The Sui chain acts as the brain specifically handling metadata and permissions, while Walrus nodes serve as the hands and feet responsible for storing and retrieving Blobs, which are large data chunks. This decoupled architecture addresses the most painful reading efficiency in Web3. Previously, we felt that storing things was a burden, but now Walrus has turned storage into a form of 'productivity' that can be called upon by AI at any moment, especially for AI agents that require long-term memory. The Blob storage logic of Walrus is simply tailor-made for the hippocampus. Walrus is not reinventing the wheel; it is attempting to violently break down storage costs using mathematical logic. This leap from static archiving to dynamic liquid productivity is the most fascinating evolutionary process. The rest will be left to time to see if this 'Walrus logic' can ultimately become the most stable trunk of digital civilization in fierce competition. @Walrus 🦭/acc $WAL #Walrus