When reflecting on the future governance and普及 of artificial intelligence, a core question is: how to ensure that AI's computing power and data are not controlled solely by large platforms, but are open, decentralized, and shared by society as a whole? @0G_labs's work precisely revolves around this issue. 0G Labs aims to realize this vision by building a modular, scalable Layer-1 blockchain network that is compatible with the existing EVM ecosystem, while also innovating architecture in data availability and GPU-optimized computing layers, enabling AI tasks to run more efficiently and at lower costs on-chain. The ecosystem growth projects of 0G are substantial, including billion-dollar-level ecosystem funds and developer incentive programs, which provide funding and resources for building decentralized AI agents, adaptive smart contract systems, and AI-native dApps. Through these incentives, 0G not only seeks to attract developers worldwide but also encourages them to build socially valuable decentralized intelligent systems. Moreover, 0G's vision is closely aligned with the concept of AI as a public good. According to official positioning, traditional AI systems often operate in closed, high-cost environments, whereas 0G aims to make AI more accessible, verifiable, and transparent through decentralized compute and storage networks. This philosophy not only aligns with Web3's pursuit of openness and shared economy but also meets the growing expectations of developers and communities for decentralized AI. As AI technology expands from gaming and DeFi into healthcare, scientific research, and social services, ensuring fair distribution of infrastructure, data security, and open access will become key topics. The architecture and practices of 0G Labs are actively driving this discussion from theoretical debate to practical infrastructure development. @Galxe @GalxeQuest @easydotfunX