Technology

Poseidon is a hash function specifically optimized for zero-knowledge proofs and has been widely used in scenarios such as zkRollups, zkVMs, and privacy-preserving computation. Recently, Ethereum’s research team proposed reassessing Poseidon in Layer 1’s post-quantum roadmap and shifting toward traditional hash functions, such as SHA-2 or BLAKE2, that have undergone long-term analysis. The core reason for this change is not that Poseidon has been broken, but that advances in binary-field SNARKs are reducing the proving costs of traditional hash functions, allowing Ethereum to rebalance proving efficiency, cryptographic maturity, and post-quantum security.

As AI Agent technology advances rapidly, artificial intelligence has grown beyond simply answering questions or generating content; it's now actively assisting users with real-world tasks like shopping, booking, and making payments. "AI Conversational Payments" stands out as a significant next-generation digital finance innovation, empowering users to complete the entire Operar process using natural language. This article explores the mechanics of AI Conversational Payments, detailing the end-to-end workflow in which an AI Agent understands requirements, initiates the Operar, and completes payment. It also examines how MoonPay PayBox seamlessly integrates AI, payments, and Web3 wallets to deliver a more streamlined and user-friendly payment experience.

AI assistants are rapidly evolving from simple chat tools into digital agents capable of executing real-world financial operations. With MoonPay’s newest offering, PayBox, users can initiate payments, reserve restaurant tables, shop for products, and even arrange flights—all directly within ChatGPT or Claude conversations. Asset control is safeguarded through non-custodial vaults, Passkey authentication, and an MPC-based security architecture.

AI Agents are increasingly capable of handling shopping, bookings, and payments, turning the idea of "completing a transaction in a single sentence" into reality. As AI becomes involved in financial operations, a central question emerges for users: Can AI directly control my assets? This article presents the security architecture of AI payments, providing an analysis of core technologies including non-custodial wallets, Passkey, MPC (Multi-party Computation), and trusted execution environments (TEE). Using MoonPay PayBox as a case study, we examine how AI Payment strikes a balance between convenience and asset security.

As the cryptocurrency market evolves rapidly, trading transparency and asset security have emerged as critical industry issues. AMLBot is a compliance and risk management platform purpose-built for the digital asset sector. Leveraging blockchain transaction monitoring, wallet risk detection, KYC verification, and AI-driven on-chain tracking tools, it enables enterprises and users to identify potential risks and foster a more secure and transparent crypto financial ecosystem.

As the cryptocurrency market continues to mature, compliance management has become a critical concern for exchanges, wallet providers, and Web3 platforms. AML, KYC, and KYT are the three most prevalent compliance mechanisms in the digital asset sector; however, their differences are often misunderstood. This article outlines the core concepts, operational procedures, and application scenarios for AML, KYC, and KYT, and explores how AMLBot integrates these tools to help enterprises establish a robust risk management framework for cryptocurrencies.

Blockchain’s open and transparent nature allows every cryptocurrency transaction to be queried directly on-chain. Yet, as funds move through multiple wallet addresses, cross-chain bridges, or across different blockchain networks, tracing their actual flow becomes significantly more complex. This article outlines the fundamental principles of blockchain asset tracing, details the on-chain investigation process and common analysis methodologies, and examines how AMLBot AI Tracer utilizes artificial intelligence to analyze transaction hashes, wallet addresses, and fund flows. Additionally, it discusses the scope of application and limitations of on-chain investigation tools.

As cryptocurrency applications advance, wallets have transitioned from merely storing assets to serving as comprehensive digital financial gateways that integrate trading, yield management, and payment services. Taking BloFin Wallet as a case study, this article examines the operational model of an all-in-one cryptocurrency wallet and explores how trading, Earn, and Visa Card collectively enable a seamless capital cycle.

Explore BloFin Wallet’s role in the Web3 financial ecosystem by examining how an all-in-one crypto wallet brings together trading, Earn yields, and payment services, delivering a complete digital asset application experience.

As the cryptocurrency market continues its transition from asset investment toward daily financial use, users now expect wallets to offer more than just token storage. BloFin Wallet has recently launched perpetual contract trading and Visa payment card services, striving to create a comprehensive digital finance tool that seamlessly integrates trading, asset management, yield generation, and payment functionalities.

In the first half of 2026, the crypto industry suffered nearly $1 billion in on-chain attack losses, with the Kelp DAO and Drift Protocol incidents alone resulting in about $577 million in damages. Attack methods ranged from cross-chain message forgery and social engineering to privilege hijacking and fraudulent collateral. This article reviews the main events, examines how a single attack can trigger liquidity crunches, bad debt, token price drops, and project shutdowns, and outlines the essential security metrics that both protocols and users should closely monitor.

The ETH/BTC ratio is Ethereum (ETH) price divided by Bitcoin (BTC) price, showing how many BTC one ETH is worth. A rising ratio usually means ETH is outperforming BTC; a falling ratio usually means BTC is relatively stronger. Traders watch it for capital rotation between BTC and ETH (and broader altcoins), but it is not a standalone buy or sell signal.

Squid (QUID) is a cross-chain liquidity infrastructure protocol developed on the Axelar network. Its main objective is to bridge diverse blockchain ecosystems, facilitating seamless interoperability between users, assets, and applications. Leveraging cross-chain swap routing, smart contract invocation, and a unified liquidity layer, Squid seeks to minimize asset transfer costs in multi-chain environments, empowering users to efficiently conduct transactions and engage with applications across multiple networks.

Squid is a cross-chain routing infrastructure developed on the Axelar network. Its primary purpose is to connect various blockchain ecosystems, facilitating multi-chain asset swaps and application interoperability via cross-chain communication, liquidity routing, and transaction execution mechanisms. Unlike conventional cross-chain bridges that mainly solve asset transfer issues, Squid places greater emphasis on streamlining user cross-chain operations, delivering an interaction experience between blockchains that closely resembles single-chain functionality.

Interlink and Worldcoin (now often called World) both sit in the proof-of-personhood category, but capture paths differ: Interlink uses a smartphone camera for face scan and liveness detection to issue InterLink ID and become a Human Node; World’s high-assurance World ID typically requires an on-site Orb for iris and face imaging, uniqueness checks, then a reusable credential. Both emphasize zero-knowledge proofs and data minimization, yet hardware dependency, credential shape, and network/token mechanism roles are not the same.