Since DeFi's emergence, the quality and security of on-chain data have been paramount concerns for developers, particularly regarding oracles—the critical bridges between on-chain and off-chain data that are often targeted by attackers. This article explores oracle use cases, common attack patterns, and prevention strategies for oracle manipulation. It provides practical guidance for developers on secure oracle integration while explaining their vital role in the blockchain ecosystem. Through analysis of recent incidents like UwU Lend and Banana Gun, we highlight how data reliability fundamentally shapes DeFi ecosystem stability.

This article introduces the mETH and cmETH protocols, provides a basic overview of the $COOK token, and explains how users can participate to earn $COOK. We will also analyze the future potential and possible risks users should consider when participating.

Short covering is a common phenomenon in financial markets, reflecting the trading behavior and emotional changes of market participants. It could be one of the signals of a market trend reversal or just a brief emotional release. For traders, understanding the essence of short covering will help better grasp market opportunities and manage risks.

While many AI Agents in the market share similar features, some stand out by offering unique experiences. This article ranks the Top 10 AI Agents (in no particular order) based on market popularity, project innovation, token value, and transaction volume to help users stay informed.

DeAgentAI integrates multiple AI Agents through a multi-agent architecture to optimize trading costs, enhance network performance, and lower user barriers, delivering a more efficient and secure intelligent ecosystem for Web3.

AI Agents are intelligent entities capable of autonomous decision-making and task execution, leveraging technologies like machine learning and deep learning. In the Web3 space, the integration of AI Agents with blockchain technology has unlocked numerous innovative applications. They can act as investment advisors in DeFi, provide personalized experiences in gaming, and enable intelligent content recommendations in SocialFi. Established projects like GriffAIn in the Solana ecosystem and AIXBT on the Base chain showcase the vast potential of AI Agents in the Web3 domain.

This article analyzes the "wave-particle duality" of frameworks such as Eliza, ZerePy, Rig, and Swarms, where "wave" represents community culture and "particle" refers to industry expectations. These frameworks provide different functionalities: Eliza focuses on ease of use, ZerePy is suitable for rapid deployment, Rig emphasizes performance optimization, and Swarms is tailored for enterprise-level applications.

Botto is a decentralized autonomous artist (DAA) founded by artist Mario Klingemann in October 2021 to explore how machines can participate in the creative process. Botto uses AI technology to generate artworks and guides its creative direction through community governance and token networks. Specifically, $BOTTO token holders can vote on and provide feedback on the artworks generated by Botto, continuously optimizing its generation algorithm. Every week, Botto generates tens of thousands of images, which are filtered through community voting to select one artwork to be minted as an NFT and auctioned on SuperRare. The auction proceeds flow back to BottoDAO and the community treasury to support Botto's further development. In this way, Botto combines human feedback with AI creation, creating a new paradigm of artistic creation and challenging the definition of traditional artists. In addition, Botto's community actively promotes its influence beyond the digital space by organizing exhibitions, installations, a

This article explores the convergence of cryptocurrency and artificial intelligence and its impact on future technological development. While cryptocurrency and blockchain technology are not essential to every layer of the AI tech stack, they can play a key role in areas such as distributed capabilities, verification, censorship resistance, and native payment channels.

This research report presents a comprehensive analysis of institutional token holders' staking behaviors, with a particular focus on the Ethereum ecosystem. Our primary research aims to shed light on the current state of institutional staking, exploring the motivations and hurdles faced by market participants.

There are two practical challenges when constructing a proof system based on binary fields: First, the field size used for trace representation in STARKs should be larger than the degree of the polynomial. Second, the field size used for the Merkle tree commitment in STARKs must be greater than the size after Reed-Solomon encoding extension. Binius is an innovative solution to address these two problems by representing the same data in two different ways.

This article explores the rise of Runes in the Bitcoin ecosystem and its market performance, and analyzes its potential in the fields of cross-chain transactions, decentralized finance (DeFi) and NFT. As the Bitcoin market picks up, the transaction volume and market value of Rune Protocol have increased significantly, becoming an important force in the Bitcoin ecosystem. At the same time, the current challenges faced, such as technical bottlenecks and market confidence fluctuations, and how Rune Protocol can achieve innovation through innovation are discussed. Mechanism improves user experience and liquidity.

Explore the latest developments in the DeAI sector and understand how AI and blockchain are merging to revolutionize traditional software development methods and create new economic incentive mechanisms. This article examines the monopolistic position of tech giants in the AI market, the rise of open-source models, and how decentralized training protocols foster innovation. It also discusses how blockchain technology can address large-scale coordination challenges and offer opportunities for non-technical individuals to participate in the emerging network economy.

This article analyzes the relationship and differences between memecoins and AI agent tokens, exploring how these projects rely on social media attention and community interaction in the absence of clear pricing models. The piece also discusses the challenges and strategies of investing in AI agents, providing guidance for investors on how to select promising projects, while emphasizing the importance of continuously capturing attention in these domains.

The old AI meme on Solana, AVB (Autonomous Virtual Beings), backed by the company Scrypted, has secured $1.5 million in funding from PTC Ventures and a16z crypto CSX (crypto venture capital accelerator). From playing VC coins to memes, and now memes backed by actual AI technology… In an increasingly competitive market, we are seeing a new trend: Memes as front-end mascots for community consensus, while behind the scenes, projects display their build outputs, seeking more endorsement and support.