AI

Bittensor, Fetch.ai, and SingularityNET share a common goal: using token incentives to drive the supply of AI resources, whether models, compute, or services, while building open networks that lower barriers to AI access and challenge the dominance of centralized platforms. However, their core differences lie in the technical layers they operate on and how they capture value. Rather than competing within a single track, they address three distinct stages of decentralized AI, model production, task execution, and service distribution.

In Part 1 of our second Agentic AI series post, we examine the current Web2 AI landscape and its key trends, platforms, and technologies.

GM.AI is the most advanced AI solution focused on the Solana ecosystem. It can deeply understand and flexibly operate various applications on Solana, providing users with highly automated on-chain services. By simplifying complex DeFi processes, GM.AI significantly enhances the user experience on the Solana platform, making it more convenient and efficient.

This article provides an in-depth analysis of projects at the intersection of cryptocurrency and artificial intelligence, exploring which projects truly leverage AI and blockchain technology and which are just gimmicks. The article points out that most crypto projects do not require AI, and vice versa, and highlights the potential of decentralized physical infrastructure networks (DePINs), data networks, and GPU networks in the development of AI. At the same time, the article proposes how to identify truly valuable "encryption x AI" projects and looks forward to the future development of decentralized AI.