The core problem that Irys @irys_xyz solves is how to make data not just stored, but activated, transforming static resources into programmable assets. My understanding is that it aims to do more than just store; it wants to utilize data. In terms of cost, it has significantly lowered the threshold for permanent storage, being 16 times cheaper than Arweave and tens of thousands of times cheaper than Ethereum. This is not just a simple dimensionality reduction; it transforms affordability and longevity into a truly reliable foundation for AI and large-scale applications. Functionally, what I find most appealing about Irys is that it brings data to life. Data is no longer just bytes lying on the chain; it can embed logic, such as automatically executing copyright conditions and allowing direct read-write and collaboration between AI agents. This actually goes beyond traditional storage, resembling executable data assets. Regarding interoperability, Irys breaks down the barriers between data and smart contracts through an EVM-compatible layer. This means we no longer rely on external oracles as intermediaries; data and on-chain logic can interact natively, which is crucial for building complex, autonomous applications. I tend to view Irys as an invisible unicorn. It may not yet be widely recognized, but it is already working on the next generation of AI infrastructure. Based on a funding background of $18.9 million and a testnet performance of 100,000 TPS with over 1 billion transactions, its technological moat has begun to take shape. In an era where AI increasingly relies on high-quality, executable data, Irys's concept of data as an asset is likely to secure a critical ecological niche ahead of time. @irys_xyz @cn_irys_xyz