# 0GLabs

During this period, I have been looking at the documents, White Paper, and related materials of @0G_labs, summarizing a few key points to discuss the strengths of 0G:
1. Comprehensive decentralization to fill the gaps in the AI ecosystem.
Traditional AI systems are highly centralized, with data, models, and computing power monopolized by large companies. Users have neither control nor the ability to share in the profits. Currently, the "quasi-AI Layer 1" has achieved some decentralization in AI fine-tuning or incentive mechanisms, but core aspects such as training data and model storage are st

⚡️ Fren, the future of AI will no longer rely on traditional Web2 architecture, but will require a Web3 infrastructure specifically designed for AI.
As the CEO of 0G Labs @michaelh_0g mentioned in an interview, intelligence no longer relies solely on large models, but rather on millions of lightweight agents working together. The realization of this distributed intelligence clearly cannot depend solely on centralized servers.
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1. The core components of the stack
1. Real-time available data
AI cannot be separated from data. Only by ensuring that data can be shared in real-time between dif