AI

I believe DeAI will define the next trend in Web3 AI. We’ll see more teams that change how we interact with each other & with protocols, shift how value is created, and generate new segments that reach more users & mindshare (more mainstream).

As the world’s first FHE blockchain project designed specifically for AI agents, Mind Network leverages the immense security advantages of FHE in AI to build a secure foundation for the development of the Agentic World.

MCP (Model Context Protocol) is an emerging field that has recently attracted attention from Web2 tech companies like Google. The article provides an in-depth analysis of the principles and positioning of the MCP protocol, explaining how it delivers context to large language models (LLMs) through standardized communication with applications. It also explores the team behind DARK, MtnDAO, and how the founder, Edgar Pavlovsky’s strong execution capabilities and the team's future outlook could potentially drive up the token’s price.

Genesis Launch introduces a fairer and more transparent launch platform for AI agent projects through a contribution point–based access system, on-chain traceable distribution logic, and an automatic refund mechanism that protects participant interests.

Metis is reshaping the Layer2 growth narrative by focusing on AI infrastructure. Through the Metis SDK and LazAI protocol, it is building an “AI-native execution layer” and exploring new paradigms of on-chain AI data sovereignty and value distribution.

Discover SwarmNode, a serverless AI agent deployment platform powered by the SNAI token. Learn how it simplifies cloud-based agent orchestration, reduces costs, and empowers developers with scalable, real-time automation tools.

Explore the architecture, applications, and market potential of Decentralized Physical AI (DePAI)—from autonomous vehicles and collaborative robotics to distributed data markets. Discover how robots operate within the Web3 ecosystem and uncover emerging investment opportunities.

Recall is a groundbreaking decentralized platform that leverages blockchain technology to create a new framework for AI agents, enhancing collaboration and providing economic incentives. It tackles challenges in traditional AI systems related to data transparency, trust, and collaboration, paving the way for the growth of the AI agent economy.

The intersection of AI and crypto has always been a narrative brimming with potential. Blockchain's decentralized nature perfectly complements the efficiency gains brought by artificial intelligence, inspiring countless developers to invest heavily in this vision. Tools like DeepSeek are leveraging human-like content generation technology to accelerate Web3 cultural content production automation. This opens up vast new opportunities for value creation in the Web3 content creation space.

Explore how Fraction AI is transforming AI development with decentralized platforms, competitive training sessions, and advanced fine-tuning techniques, making AI creation more accessible and collaborative.

This article explores cutting-edge solutions in the field of AI verifiability in 2025, with an in-depth analysis of six major projects: EigenLayer, Hyperbolic, Mira, Atoma, Fortytwo, and Lagrange. These initiatives adopt diverse technical approaches—including Proof-of-Sampling (PoSP), Trusted Execution Environments (TEEs), and Zero-Knowledge Proofs (ZKPs)—to address the challenge of AI output trustworthiness. Each solution offers unique advantages and is suited to specific use cases, collectively advancing the development of decentralized AI infrastructure.

The birth of WayFinder marks a new attempt. WayFinder achieves the discoverability of smart contracts and the automation of cross-chain interactions through an autonomous AI agent and a community-built path network. Its core value lies not only in technological innovation but also in providing a self-evolving spatial cognition framework for the decentralized ecosystem.

Plastic Labs has announced the completion of a $5.35 million Pre-Seed funding round and launched its personalized AI identity platform, Honcho. Honcho aims to provide personalized solutions for large language model (LLM) applications, helping developers easily implement personalization through a plug-and-play approach. It addresses the common challenge developers face of building user modeling from scratch by offering rich and persistent user profiles.

This article gives a detailed look at AI Layer 1 blockchains, including key projects, main technical structures, and future trends. It also discusses the challenges they may face and their potential impact across different industries.

This article provides an in-depth analysis of how Memeapp drives the monetization of AI-generated content through the MCP protocol and Vibe encoding system, exploring its innovative approaches and potential impact on content ownership fragmentation, cold-start challenges, and differentiation from Memecoin. Forward the original title: Is Memeapp, which is just emerging, the next big opportunity at the intersection of Crypto and AI?