If we take a longer-term perspective, I would say that @0G_labs is more about answering a fundamental question: who will carry the future of AI?

In the past few years, we have become accustomed to tying AI capabilities to a few large platforms, with models running on their servers and data stored within their systems, while users can only access results through interfaces.
Although this structure is efficient, it also means that the entire AI ecosystem is built on a few centralized infrastructures.
The decentralized AI operating system proposed by 0G is essentially an attempt to break this single point of dependency. It integrates computing power, storage, and data availability into an open network, gradually transforming resources that originally belonged to companies into network resources.
The biggest difference brought by this change is that AI is no longer just a service provided by a platform but begins to become a public infrastructure that can be built and participated in.
One strong feeling I have when observing this direction is that such an architecture will change developers’ mental expectations. When the infrastructure is open, you will be more willing to build applications that exist long-term rather than relying on a specific platform’s ecosystem.
Because you know that the operation of these applications no longer depends entirely on a company's strategy but on the continuous operation of the entire network.
Perhaps this process is still in its early stages, but what is certain is that these infrastructural changes are often the most profound.
Once the underlying structure changes, true innovation often begins to appear on a large scale afterward, and this may be exactly what @0G Labs is pushing forward.
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