If you break down most so-called "AI public chains," you'll find that they primarily offer incentive or fine-tuning layers on-chain. Training data and model storage remain centralized, making them strictly "quasi-AI Layer 1" or even "pseudo-AI Layer 1." The biggest difference with 0G @0G_labs lies in its comprehensive decentralization, which goes beyond economic incentives and coordination. It modularizes data storage, model training, inference, and the computing power market, implementing them within a decentralized infrastructure. 0G's highlights lie in three key areas: 1️⃣ Modular Design: From 0G Chain, Storage, and DA to Compute, Marketplace, and Alignment Nodes, each layer can operate independently and be flexibly replaced and upgraded to adapt to future AI technology iterations. 2️⃣ Storage and Performance Advantages: 0G Storage is optimized for high-frequency AI read and write operations, significantly surpassing the sluggish performance of IPFS/Filecoin. It is truly decentralized storage capable of hosting AI models and large-scale data. 3️⃣ Ecosystem Development and Implementation: We've collaborated with over 300 projects, and the testnet has already generated hundreds of millions of interactions. Combined with the BitTensor+http:/Fetch.ai benchmarking logic, the ecosystem has enormous potential. 0G isn't just an empty slogan about "AI + Blockchain," it truly completes the key pieces of the AI Layer 1 puzzle! #starboard