Technology

ZetaChain recently approved a governance proposal to shut down its own Layer 1 and migrate to Solana. Why is the project moving away from an independent blockchain? This article examines the evolving role of Layer 1 across security, liquidity, the developer ecosystem, operating costs, and value capture.

Intent-Based Trading shifts on-chain trading from specifying how a transaction should be executed to expressing what the user wants to achieve, with Solvers competing to fulfill those Intents. This article explores Intents, Solvers, MEV, and the next generation of on-chain trading experiences.

Discover 5 privacy coins and privacy blockchain projects to watch in 2026, with an analysis of the privacy technologies, use cases, and development trajectories of Monero, Zcash, Aleo, Aztec, and Secret Network.

Post-quantum cryptography (PQC) refers to cryptographic algorithms designed to resist attacks from both classical and quantum computers. For cryptocurrency users, blockchain developers, security teams, and institutional stakeholders, it is becoming a core part of long-term planning because Bitcoin, Ethereum, and other blockchain networks still rely on cryptography that a sufficiently powerful quantum computer could eventually weaken.

MEV arbitrage, front-running, and sandwich attacks all exploit blockchain transaction ordering, but they differ in their objectives and impact. This article examines the three MEV mechanisms, the roles involved, their risk profiles, and how users can protect themselves.

Arc is designed not simply to increase speed, but to redefine the costs, finality, validation, compliance, and liquidity of institutional blockchain use. Using Arc as a case study, this article establishes a general framework for analyzing Stablecoin financial infrastructure and institutional-grade blockchains.

Digital asset treasuries are integrating assets such as BTC and ETH into corporate treasury management. This article compares Digital Asset Treasury (DAT) with traditional corporate treasury operations across assets, custody, liquidity, returns, governance, and risk control, and explains how Web3 infrastructure is becoming part of corporate financial management.

Quantum attacks are attempts to use sufficiently powerful quantum computers to break the cryptographic systems that secure digital assets. In blockchain technology, that risk centers on public-key cryptography and digital signatures, which blockchains use alongside hashing to protect transactions, wallets, and ownership records across the broader cryptocurrency ecosystem.

Crypto regulations are reshaping the boundaries among digital assets, trading platforms, and DeFi. This article examines how evolving regulatory frameworks impact the long-term progression of Web3 by exploring market structure, regulatory responsibilities, and business models.

Centralized exchanges, DeFi, and Stablecoins each serve distinct financial functions. This article compares the business models, risk sources, and regulatory priorities of these three crypto sectors, explaining why Web3 requires a more layered market structure.

As AI capabilities continue to grow, development and usage face new security boundaries. This article examines why more powerful AI demands more careful development and usage mechanisms, exploring model capabilities, agents, autonomous execution, permission control, and enterprise deployment.

As AI evolves from content generation toward Agents and autonomous execution, security challenges are shifting from merely model outputs to encompass permissions, tool usage, monitoring, and human oversight. This article examines how AI Safety is emerging as critical infrastructure and discusses the long-term dynamics between capability development and safety governance.

Post-quantum cryptography protects digital signatures and encryption systems with quantum-resistant algorithms. This article examines Lattice Jolt, published by a16z, the principles of lattice-based cryptography, quantum attack risks, and blockchain migration solutions.

AI Agents are moving beyond auxiliary tools to become enterprise execution systems. As a result, the competitive frontier is expanding from model capabilities to permissions, workflows, execution controls, and feedback mechanisms. This article explores the long-term value of Agent commercialization and enterprise adoption.

Lower model prices won't undermine the AI industry; instead, they will accelerate AI's transformation from a scarce resource into a scalable production asset.