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From a broader perspective, the position of @0G_labs is actually the most fundamental layer in the integration of AI and blockchain.
What is currently confirmed is that it is building a data and computing network for service AI, using modular design to break down different functions and then recombine them.
This architecture is theoretically more flexible and easier to scale.
But the real issue is not the architecture itself, but how it is used in the real world.
Whether AI applications truly need on-chain data layers or still rely more on traditional cloud services has yet to be verified.
From a researcher’s perspective, the value of such projects is not in short-term performance but in whether they can become part of the future AI infrastructure.
If AI Agents and decentralized computing continue to develop and the demand for data layers keeps increasing, the value of projects like @0G will gradually become apparent.
However, at this stage, it’s more like an early layout for a demand that has not yet fully arrived.
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