AI

Vitalik has published "The promise and challenges of crypto + AI applications," discussing the ways blockchain and artificial intelligence can be combined and the potential challenges. The article presents four integration methods and introduces representative projects for each direction. There are differences in the core characteristics of AI and blockchain, so it's necessary to balance aspects such as data ownership, transparency, monetization capabilities, and energy costs when combining them. Currently, many AI applications are gaming-related, involving interaction with AI and training characters to better fit individual needs. At the same time, there are projects exploring the use of blockchain features to create better artificial intelligence. Decentralized computing power is also a popular direction but still faces challenges. Overall, the AI track needs to find projects with competitiveness and long-term value.

Delve into the background of the OORT track, project operation logic, and more, to glimpse the project's prospects and the opportunities and challenges for the AI+DePIN track in 2024.

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.