In the past, when discussing blockchain infrastructure, the most talked-about aspects were performance, Gas fees, and consensus efficiency.

But as AI becomes the new technological mainline, this evaluation system has started to become a bit outdated.
The truly critical issue has shifted to a new dimension. Can the chain support data-intensive computing?
The value of @0G_labs begins to show here. Its proposed modular AI chain concept is essentially upgrading blockchain from a transaction network to a data network.
Traditional blockchain is more like a ledger system, where each transaction is recorded and verified.
In the AI era, what is needed is another capability: large-scale data flow, model training result verification, and coordination of decentralized computing resources.
0G's design idea is to break these capabilities into multiple independent modules, then combine them through a unified architecture.
The advantage of this approach is that the network can expand according to different AI scenarios, rather than all nodes bearing the same computational load.
For the industry, this structure could change many application development methods. Previously, many teams used blockchain in AI product design only for issuing tokens or as a settlement layer.
But if the underlying network itself supports AI data processing, the space for applications will be greatly expanded.
From the user's perspective, the changes brought by this infrastructure upgrade will also be very direct.
Future AI tools will not just be SaaS services but may become part of on-chain applications.
If DeFi has endowed blockchain with financial attributes, projects like 0G might be enabling blockchain to acquire new data attributes.
@Galxe @GalxeQuest @easydotfunX @wallchain @TermMaxFi @3look_io