⚡ Overview of the newly launched AI+Crypto industry sector by Grayscale—— In fact, Grayscale is equivalent to creating an institutional investment framework that covers 20 types of assets with a total circulating market value of approximately $20 billion. After a brief look, it can be divided into three main categories: one ️⃣ Basic computing power layer: solving the bottleneck problem of Web2 AI computing power Render (RNDR) → Distributed GPU Rendering/Computing Network Akash (AKT) → Decentralized Cloud Computing Market two ️⃣ Distributed Resource Allocation: Establishing an On Chain Incentive System for AI Model Contribution, Validation, and Reuse Bittensor (TAO) → Decentralized Machine Learning Network http://Fetch.ai (FET) → Multi Agent Intelligent System SingularityNET (AGIX) → Distributed Market for AI Services three ️⃣ Application Interface and Middleware: Embedding AI into On Chain User Experience Near (NEAR) → L1 with strong integration with AI, Agent architecture OraiChain (ORAI) → AI oracle, connecting on chain and off chain AI data There are too many and diverse AI projects now, and the grayscale framework still has some reference value, mainly for infrastructure projects. If you want to allocate warehouses or copy assignments, you can copy them in this table. The reference targets for rotating a section are also good!