Walrus (WAL)

2026年3月27日标志着Walrus主网一周年纪念，并且已存储超过450TB的数据。 这在一年内超过了Arweave的385TB存储量。 坚实的基础。但真正的故事在于随后发生的事。 📈 #WALRUS 🦭 https://t.co/FlML44yExR

如果我错了请纠正，但我认为walrus-2:native首次在市值上超过了$DEEP。 有趣 🫪 https://t.co/elmiOYtxGf

Walrus has already stored 450TB+ of data since launch. That makes it one of the largest decentralized storage networks by data volume. $WAL still sits near a ~$83M market cap. Why is the market barely valuing a storage network already seeing production-scale usage? @WalrusProtocol is a decentralized storage protocol built by Mysten Labs, the team behind Sui. The network focuses on storing large datasets efficiently while keeping them verifiable and programmable. Its latest release, Walrus Memory, introduces persistent storage for AI agents across sessions. The idea is giving agents long-term memory without relying on centralized databases. That positions Walrus closer to AI infrastructure than traditional storage networks. Compared to older storage projects, Walrus focuses on: • Fast access to large data objects • Smart contract composability • AI-related storage workloads • Native integration with the Sui ecosystem There are still important risks. Storage demand needs to keep growing for the network's economics to strengthen over time. At the same time: • Investor unlocks are already underway • Ecosystem allocations continue vesting • Supply emissions remain a factor until storage revenue grows further Unlike many infrastructure projects, adoption cannot rely on narrative alone. Long-term value depends on users continuing to store and retrieve real data at scale. At the same time: • No major exploit history surfaced • No public governance controversies emerged • Development remains closely tied to the broader Sui ecosystem Tokenomics • Price: ~$0.034 • Market cap: ~$83.3M • Circulating supply: 2.4B • Total supply: 5B (max) Always take whatever you read on the internet with a pinch of salt, do your own research, NFA.

海神海象能被破坏到何种程度？模板崩坏实验 @WalrusProtocol @at_bellyseal 从以海神概念的海象角色为基础开始 → 添加不可能的海底建筑结构 → 引导风格冲突 → 递归反射、叠加时间线、非欧几里得结构逐步累积 ▶结果是?? 我们尝试始终保持角色身份（母亲、面孔、海神概念），但面部结构逐渐出现重复、细节过密、解剖崩坏。 最终，这项实验是为了确认“身份保持”与“幻觉产生”之间的界限在哪里的过程。