# Сопутствующие статьи по теме Economy

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

After OpenClaw's China Tour, We Interviewed a Group of 'Lobster Chasers'

In March 2026, OpenClaw surpassed React to become the most-starred project on GitHub, rapidly gaining global recognition as a leading AI tool. Dubbed the "lobster" by enthusiasts, this automation-focused AI agent has sparked widespread discussion and a sense of urgency among tech communities, particularly in China. Following the "Web4.0 China Tour" initiated by figures from the crypto space, offline events saw significant turnout, attracting everyone from seasoned developers to curious newcomers, including teenagers and seniors. Participants expressed a mix of excitement and "AI anxiety," driven by fears of being left behind. Discussions revealed divergent perspectives: while some see AI as a threat to jobs, others, citing reports like Anthropic’s, argue it will reshape rather than replace roles—impacting structured, cognitive tasks more than manual labor. The intersection of AI and crypto also emerged as a key theme, with some believing cryptocurrency could become the native economic system for AI agents. Despite the hype, many users struggle to operationalize OpenClaw, with some paying for installation services only to face unexpected costs or operational challenges. The consensus among informed participants is that success lies not in merely adopting the tool, but in effectively leveraging it to solve real problems. In the age of AI, early adoption does not guarantee advantage—meaningful outcomes depend on practical application.

Odaily星球日报03/07 03:07

After OpenClaw's China Tour, We Interviewed a Group of 'Lobster Chasers'

Odaily星球日报03/07 03:07

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

Your AI Agent is Quietly Changing the Rules of the Internet

AI Agents are rapidly transforming the internet landscape, evolving from experimental tools to essential components in daily operations—managing emails, scheduling meetings, and handling support tickets. By 2025, automated traffic is projected to surpass human activity, accounting for 51% of all web traffic, with AI-driven visits to US retail sites surging by 4,700% year-over-year. However, confidence in fully autonomous agents has declined due to security concerns, as infrastructure struggles to keep pace with their expansion. Key challenges include discoverability—agents must efficiently find machine-readable services amidst web pages designed for humans, prompting a shift from SEO to Agent-Oriented Discoverability (AEO). Identity is critical: agents require cryptographic authentication, delegated authority, and real-world accountability to transact securely, leading to emerging standards like ERC-8004 and protocols such as Visa’s Trusted Agent Protocol. Finally, reputation systems are essential to verify agent performance through methods like trusted execution environments (TEEs), zero-knowledge machine learning (ZKML), and economic security models, enabling portable, auditable records of reliability. Together, discoverability, identity, and reputation form the foundational infrastructure for an agent-driven economy, ensuring agents can operate at scale with trust and autonomy.

比推03/05 19:13

Your AI Agent is Quietly Changing the Rules of the Internet

比推03/05 19:13

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