# Сопутствующие статьи по теме Efficiency

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Efficiency", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

HashKey Accelerates AI Strategy Implementation: From Organizational Efficiency to New-Generation Digital Financial Infrastructure

HashKey Group is accelerating its AI strategy, transitioning from organizational efficiency to building next-generation digital financial infrastructure. The company has established a "Group Technology Steering Committee" to oversee the overall planning and implementation of AI and cutting-edge technologies. According to CTO Devin Zhang, the move marks a shift from fragmented, individual use of AI to a group-level systematic adoption aimed at upgrading organizational capabilities. Key priorities include improving internal operational efficiency—particularly in R&D and non-R&D functions like compliance and finance—and enhancing user experience through intent-driven interactions. Initial AI applications focus on high-repetition, measurable scenarios such as automated development pipelines, threat detection, risk management, and anti-money laundering analysis. Devin emphasized that a robust security framework is essential for financial institutions adopting AI, as agent-based systems require careful management of permissions, resource access, and accountability. HashKey is taking a compliant, risk-aware approach: prioritizing back-end and internal use cases first, while cautiously evaluating customer-facing innovations like automated trading. In the long term, HashKey envisions AI and blockchain converging, with AI agents gaining digital identities and payment capabilities, potentially making blockchain a key infrastructure for managing AI-driven economies. The company aims to boost efficiency near-term, strengthen mid-term technical foundations, and ultimately contribute to the evolution of digital financial infrastructure.

marsbit03/18 06:07

HashKey Accelerates AI Strategy Implementation: From Organizational Efficiency to New-Generation Digital Financial Infrastructure

marsbit03/18 06:07

On-Chain Economy: Past, Present, and Future

On-Chain Economy: Past, Present, and Future In 2014, before "Web3" became synonymous with blockchain and crypto assets, the core vision revolved around smart contracts and their potential to enable a self-managing decentralized network. This early idea evolved into the concept of a Smart Economy, where autonomous economic coordination could flourish. Today, Web3 is rapidly growing, largely driven by decentralized finance (DeFi). Stablecoins serve as global settlement tools, and crypto assets have reshaped public understanding of money. Beneath these developments lies a fundamental improvement in financial efficiency. At the same time, AI has moved from abstract concept to daily reality. While many see AI as a productivity tool, its deeper role is that of a new financial efficiency paradigm. By increasing productivity, AI raises the value of attention even during non-working hours, making it a natural core component of the next-generation on-chain economy. The future on-chain economy will be defined by three core features: 1. Minimal human involvement: Humans act as intent providers, while AI handles analysis, execution, and feedback. 2. Complete trustlessness: Systems must be fully secure and trustless. 3. Extreme efficiency: AI will push capital utilization to unprecedented levels. Key enabling technologies include rapidly evolving AI models, intent-based AI agents, agent networks, privacy-preserving tech like ZKP and FHE, enhanced security components, and sustainable monitoring systems. The convergence of AI and blockchain will lead to an organic, self-evolving, and autonomous on-chain economy—what we call the Intelligent Sensible Economy. This is not just a faster system but a structural shift: from human-centered operations to collaboratively intelligent networks. The economy begins to exhibit life-like traits, responding to data, adapting, and self-optimizing. This transformation raises a fundamental question: as systems become self-learning and self-coordinating, are we still building an economy—or a new form of intelligent life?

marsbit03/06 08:23

On-Chain Economy: Past, Present, and Future

marsbit03/06 08:23

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