"@irys_xyz How much do you know about the current situation?" Announce its ecological data: Q3 has an astonishing 11.7 times from 73 million to 855 million ❑ Reasons behind the growth: ⛀ Onboarding and integration of large applications and institutions: Irys is connected to large-scale applications, such as @TryBrickroad, which imports data from multiple large institutions and mints IP tokens directly on Irys L1. This data was subsequently sold to various AI companies, driving a surge in trading volume. ⛀ Technology and performance advantages: The core selling point of Irys is programmable data: data is no longer passively stored but can be executed with logic (e.g., royalties, access control) that supports real-time interaction between smart contracts and AI agents. Testnet benchmarks show up to 100,000 TPS, sub-second latency, and storage costs are 16-20 times lower than Arweave/Filecoin. The dual-ledger architecture (Submit Ledger for validation, Publish Ledger for...
🌍 Why is "@irys_xyz" the bottom core of the AI puzzle? In the past few years, everyone has been talking about models, computing power, and agents, but what is most lacking in the entire AI world is not computing power, but memory. AI models are indeed getting stronger, but every time they finish, it's like nothing happened, and all the reasoning processes, data output, etc. are scattered. If computing power is like "muscle" and model is like "nerve", then data is "memory". The problem is that the existing storage infrastructure is not designed for this scenario at all. Easy to lose, unable to interact, etc., and there is no way to monetize. ▰▰▰▰▰▰▰▰▰▰ This is what Irys is here for: It is not a new financial chain, nor is it simply storage. Unlike the familiar public chains, Irys does not pursue high-frequency transfers and speculation, it focuses on: Whether the data can be stored for a long time, quickly accessed, and embedded in logic. Sounds a bit abstract? It can be...
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