Observing the AI industry reveals a very clear trend.

Models are becoming more powerful, but infrastructure is becoming more centralized.
Computing power, data, and model distribution are almost all controlled by a few large platforms, which still forces many developers to rely on centralized services when innovating.
Web3 must change this structure to enter the AI era.
@0G_labs's approach is to redestribute the core resources needed for AI into a network. By using a modular architecture, computing, storage, and data availability are distributed across different nodes, allowing the entire system to operate on an open network.
This design is not just a technological upgrade.
It is essentially redefining the operating environment for AI applications.
When developers can directly access computing power and data resources on a decentralized network, the form of AI applications may change significantly. The system can run long-term, learn continuously, and not depend on a single platform.
From this perspective, the significance of 0G is not just an infrastructure project, but an exploration of AI network models.
If this approach is validated, the future integration of AI and blockchain may be deeper than we currently imagine.
@Galxe @GalxeQuest @easydotfunX @wallchain #Ad #Affiliate @TermMaxFi @3look_io