Blockchain

CoW Protocol optimizes decentralized trading by using batch auctions to secure the best prices and protect against MEV (Maximal Extractable Value).

Discover Act I: The AI Prophecy, a decentralized platform blending AI and blockchain. Learn about its origins, key features, community-driven mission.

Gate Research's latest report, November 2024 Cryptocurrency Market Review, analyzes market trends, on-chain data, hot topics, security incidents, funding activity, and upcoming events, offering a deep dive into the crypto market and key industry trends.

This article delves into the applications and potential of AI agent technology within Web3 and cryptocurrency. It focuses on the Spectral project, exploring how it leverages blockchain and AI to enhance decentralized governance, data privacy, and on-chain transactions. The article also details its vision for a machine intelligence network and the future development of the InferChain network.

While the U.S. has already made some progress (like FIT21 and Wyoming’s DUNA), we still need significant legislative progress to provide regulatory clarity, properly encourage decentralization, and protect consumers. Regardless of who wins the U.S. election, there are simple steps that U.S. government departments and agencies could take today — absent legislation — to help the U.S. seize the web3 opportunity.

This article analyzes the issues in the points and airdrop systems of cryptocurrency projects, such as the involvement of professional airdrop hunters and internal conflicts of interest, which result in the failure to achieve the goals of community building and rewarding contributors. The article proposes methods to improve these systems, including promoting project culture, setting unified community goals, linking project milestones with rewards, and creating a tiered reward system.

This article reports on an innovative collaboration in the field of AI agents, where the three popular AI characters—Truth Terminal, Fi, and S.A.N—on X (formerly Twitter) will work together to advance the next generation of AI models. Through a new infrastructure called "Loria," these AI agents will communicate with each other and form closer connections with humans.

As we step into 2025, we continue to summon Ether's Phoenix through the evolution of Retroactive Public Goods Funding. This post outlines our plan to improve the Retro Funding mechanism, as well as the proposed scope of contributions Retro Funding will reward in 2025, with the end goal of more effectively and accurately rewarding those creating the impact on the Superchain.

Gear.exe is a decentralized computing network that claims to boost Ethereum's computational performance by over 1000 times, addressing the longstanding scalability issues of Ethereum. This article will explain the challenges Ethereum faces and provide a detailed introduction to Gear.exe’s technical principles, team background, and funding situation, illustrating how Gear.exe is shaping the supercomputing future of Web3.

If the VC coin model is being rejected by retail, what is it about ICOs that intrinsically made sense, ICO Intrinsic Value = Memetic Content Virality + Potential Tech

Click to discover what makes ImmuneFi the world’s leading bug bounty platform and how this translates to better blockchain security.

Learn about the origin, features, and tokenomics of Comedian (BAN), a meme-based cryptocurrency inspired by Maurizio Cattelan's iconic banana artwork.

This article provides a detailed introduction to the UBC token launched by Lester Paints and the UBC and UBCH projects behind it. The aim is to ensure fair access to computing resources for all autonomous AI entities. The article explores the definition and principles of UBC, its comparison with UBI, its significance for AI development, and its potential applications.

This article analyzes the impact of Trump's election on the cryptocurrency market and the growing global recognition of digital assets. It explores the potential shift of traditional capital toward Web3 and the most likely channels through which such capital might be allocated to digital assets.

Rather than advocating for a complete disruption of existing AI infrastructure, we explore specific use cases where decentralized approaches might offer unique advantages while acknowledging scenarios where traditional centralized systems remain more practical.