The Web3 data world is rapidly expanding. NFTs, on-chain game assets, DeFi protocol data... these digital assets need a secure "home." The problem is, existing storage solutions all have their drawbacks: centralized cloud services pose significant risks, some decentralized networks are expensive and slow, and finding a solution that is truly decentralized, low-cost, and high-performance? Almost impossible.

This is the "deadlock" in the Web3 storage field—scalability, cost, and seamless integration with smart contracts seem to never be able to satisfy all three simultaneously. It wasn't until the emergence of certain new protocols that this stalemate was broken.

The real breakthrough lies in a shift in architectural thinking. Instead of relying on a single network layer to solve all problems, take a different approach: decompose tasks and handle them in layers. Data storage is for storing data, data availability proofs are for proving availability, data retrieval is for fetching data—each step is handled by specially optimized sub-networks. The benefits of this approach are obvious: the system is no longer a rigid black box but a flexible, live system that can scale according to actual needs.

This modular, layered design principle is essentially applying systems engineering thinking to solve the "trilemma" of blockchain storage. Decentralization and performance are no longer an either/or choice, and costs don't have to skyrocket for security. When you break down the problem into smaller parts, you often find the true solution. For the overall exploration of Web3 data availability layers, this shift in thinking may be even more crucial than breakthroughs in individual technologies.