Over the past few years, the development of Web3 infrastructure has actually shown a clear trend: modularization.

The execution layer, settlement layer, and data layer are gradually separating to focus on their respective strengths. But if AI is added into the mix, this structure needs to be upgraded to a new level.
@0G_labs's answer is to integrate AI directly into the blockchain architecture.
In the 0G system, the entire network consists of four core components: an AI-optimized L1 chain responsible for execution, a decentralized computing network for model inference and training, a storage network for data preservation, and a data availability layer that ensures all nodes can verify data.
The biggest change brought about by this design is actually the user experience.
Developers no longer need to split AI applications across multiple platforms but can instead perform data storage, model inference, and on-chain interactions within the same infrastructure.
As the infrastructure becomes more complete, the development costs for AI applications will significantly decrease. From an industry perspective, this means Web3 could enter a new phase.
Most on-chain applications in the past focused on finance, but in the future, we are likely to see a large number of AI-driven applications, such as automated research, intelligent trading strategies, on-chain game NPCs, and even robot control systems.
If these applications truly scale up, AI-native infrastructure will become the core competitive point of the entire industry.
What 0G is doing is precisely capturing this layer.
@Galxe @GalxeQuest @easydotfunX @wallchain #Ad #Affiliate