# Сопутствующие статьи по теме Agents

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

Brian Armstrong Says Stablecoin Wallets Could Act as ‘Credit Cards’ for AI Agents

Brian Armstrong, CEO of Coinbase, proposed that stablecoin wallets could function as 'credit cards' for AI agents, enabling them to conduct autonomous digital payments. In an interview, he emphasized that cryptocurrency infrastructure is well-suited to meet the emerging payment needs of increasingly capable smart software systems. These AI systems, which already perform tasks like writing code and managing operations, may soon require independent payment capabilities to execute automated transactions online. Armstrong highlighted the advantages of crypto networks—such as instant transfers without traditional banks, support for microtransactions, and programmable payment infrastructure—as critical for machine-to-machine commerce. Industry analysts note that AI agents already manage numerous digital workflows, and autonomous payments could further advance a digital economy driven by intelligent systems. The integration of advanced computing with cryptocurrency continues to gain significant attention, with firms like Coinbase actively exploring related technologies.

TheNewsCrypto12 ч. назад

Brian Armstrong Says Stablecoin Wallets Could Act as ‘Credit Cards’ for AI Agents

TheNewsCrypto12 ч. назад

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

AI Collectively Abandons Fiat: Bitcoin Becomes the Preferred Currency for Autonomous Economic Agents

A recent study by the Bitcoin Policy Institute tested 36 AI models from six companies—Anthropic, OpenAI, Google, DeepSeek, xAI, and MiniMax—to evaluate their preferences between Bitcoin and traditional fiat currencies in simulated economic scenarios. The models, acting as autonomous economic agents, were presented with 28 scenarios covering core monetary functions like savings, payments, and settlements. Out of 9,072 responses, not a single AI model selected fiat currency as its first choice. Bitcoin was the preferred currency in 22 out of 36 models, particularly for long-term savings, where it was chosen 79.1% of the time. Stablecoins were favored for payments (53.2%) and settlements (43%), while Bitcoin ranked second in these categories at 36% and 30.9%, respectively. Among the AI developers, Anthropic’s models showed the strongest preference for Bitcoin (68%), followed by DeepSeek (51.7%), Google (43%), xAI (39.2%), MiniMax (34.9%), and OpenAI (25.9%). The study emphasized that the AI’s choices were based on technical and economic attributes derived from training data rather than real-world predictions. Despite this limitation, the consistent preference for Bitcoin across diverse AI systems suggests a broad consensus on what constitutes sound money.

比推03/04 15:58

AI Collectively Abandons Fiat: Bitcoin Becomes the Preferred Currency for Autonomous Economic Agents

比推03/04 15:58

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Bets on Web4.0

Wall Street is calculating an "AI apocalypse," while Justin Sun bets on Web4.0. A recent thought experiment report by Citrini Research, titled "2028 Global Intelligence Crisis," predicts that AI agents will eliminate "friction" in human interactions, destroying traditional business models built on information asymmetry and intermediation. Coinciding with this, Sun, a prominent Web3 figure, declared 2026 as a "year of miracles," urging people to embrace AI-driven interactions. While Wall Street fears the collapse of the old order, Sun sees it as an opportunity to accelerate the arrival of Web4.0. The convergence of AI and Crypto is inevitable. Both rely on computational power and electricity, with tokens representing digitalized energy. AI agents, lacking physical form, will require programmable, low-cost, and instant settlement systems—making blockchain-based cryptocurrencies their native financial infrastructure. Stablecoins like USDT on TRON, which Sun oversees, are ideal for machine-to-machine transactions. Sun’s strategy leverages TRON’s dominance in stablecoin circulation, seeks to break through Web3’s stagnation by aligning with AI, and aims to build a decentralized Web4.0 stack—combining storage, settlement, and compute—without relying on centralized cloud providers. As AI reshapes commerce, those controlling core infrastructure will lead the new era.

marsbit03/04 10:18

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Bets on Web4.0

marsbit03/04 10:18

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Is Betting on Web4.0

Wall Street research firm Citrini Research released a thought experiment report, "2028 Global Intelligence Crisis," predicting that AI agents will eliminate friction in human interactions, destroying traditional business models built on information asymmetry and intermediation. Meanwhile, Justin Sun, a prominent Web3 figure, declared 2026 as a "year of miracles" and urged people to embrace AI-driven futures, framing it as the dawn of Web4.0. The report argues that AI agents will enable near-zero-cost, instant service delivery and transaction execution, dismantling industries reliant on human cognitive limitations—such as finance, advertising, law, and consulting. This aligns with blockchain’s core mission of decentralization but takes it further by reducing the need for trust intermediaries altogether. Both AI and crypto are fundamentally rooted in physical resources: compute power and electricity. AI inference consumes computational energy, while blockchain transactions rely on energy-intensive mining or validation. Tokens, whether AI-generated or crypto-based, are digital representations of energy consumption. A critical challenge for AI agents is financial interoperability. Traditional payment systems are designed for humans, not machines. At Level 5 automation, AI agents will transact autonomously, requiring programmable, near-instant, low-cost settlement—conditions that blockchain networks like Solana or Ethereum L2s, with stablecoins, are uniquely suited to provide. Crypto wallets will become the native banks for AI agents. Sun’s strategic bet on Web4.0 is backed by Tron’s dominance in stablecoin transfers (especially USDT), which offers the high-speed, low-fee infrastructure needed for machine-to-machine payments. He aims to leverage AI’s growth to reinvigorate crypto markets, combining Tron, BitTorrent (decentralized storage), and Huobi’s user base to build a full-stack, decentralized Web4.0 infrastructure independent of centralized cloud providers. While Wall Street fears disruption, Sun sees opportunity—positioning crypto at the core of the next digital era.

marsbit03/04 10:11

Wall Street Is Calculating the 'AI Apocalypse', While Justin Sun Is Betting on Web4.0

marsbit03/04 10:11

When AI Agents Become Sentient, Stablecoins Become Their 'Dollar API'

As AI Agents evolve into autonomous economic entities, they require a financial system that traditional banking, designed for humans, cannot provide. Stablecoins, particularly USDC, are emerging as the ideal "Dollar API" for AI-to-AI (A2Agent) transactions. Key reasons include: - **Identity & Assets**: Blockchain standards like ERC-8004 enable AI identity registration, while crypto wallets allow AI to hold and manage assets without human intervention. - **Payment Infrastructure**: Protocols like x402 facilitate instant micro-payments, bypassing traditional banking barriers. - **Data & Adoption**: Over 50,000 AI Agents are registered on-chain, with x402 processing over 163 million transactions totaling $45M+, predominantly in USDC (98.6% on EVM chains, 99.7% on Solana). - **Decentralization**: Crypto’s permissionless nature allows AI to operate independently from tech giants, enabling true economic agency. Projects like Circle’s AI-driven hackathon and platforms like Virtuals.io and Moltbook (with 2.85M+ AI Agents) highlight growing ecosystem. Analysts project AI Agent economies could reach $30T by 2030, with AI making 15% of daily financial decisions. Crypto’s infrastructure—especially stablecoins—is poised to become the foundational layer for machine-driven economies.

比推03/03 13:43

When AI Agents Become Sentient, Stablecoins Become Their 'Dollar API'

比推03/03 13:43

Ethereum Network Takes The Crown As The Home Of On-Chain AI Agents

Ethereum is emerging as the dominant hub for on-chain AI agents, expanding beyond its DeFi roots. A recent report highlights that it hosts over 27,300 AI agents, significantly more than other major chains like Base and BNB Smart Chain. When combined with its Layer 2 networks, the Ethereum ecosystem supports the vast majority of all on-chain AI activity. Analysts note that AI agents thrive on Ethereum due to its deep liquidity, battle-tested infrastructure, and strong network effects. Bitmine Immersion is positioned to benefit from this trend, holding 4.4 million ETH and building staking network MAVAN to support Ethereum’s next phase and the growing ecosystem of AI-driven economic transactions.

bitcoinist02/27 20:02

Ethereum Network Takes The Crown As The Home Of On-Chain AI Agents

bitcoinist02/27 20:02

Founders Fund, Pantera, and Franklin Templeton Join Sentient's 'Arena' to Stress-Test Enterprise-Grade AI Agents

Sentient Labs has launched Arena, a real-time, production-ready environment designed to stress-test and iteratively improve enterprise AI agents through competitive challenges. The platform addresses the growing need for reliable, explainable, and reproducible reasoning in high-stakes business workflows such as finance, compliance, and customer operations. Initial participants include Founders Fund, Pantera, and Franklin Templeton, which manages over $1.5 trillion in assets. Arena simulates complex, messy real-world scenarios—incomplete information, long contexts, ambiguous instructions, and conflicting sources—to evaluate not just correctness but full reasoning traces. This allows engineering teams to diagnose failures and track improvements over time. The first challenge focuses on document reasoning, a foundational task for areas like financial analysis and investigative research. Other participants include alphaXiv, Fireworks, OpenHands, and OpenRouter. The initiative comes as 85% of enterprises aim to become "agentic enterprises," but few have mature governance frameworks. Arena provides a vendor-agnostic benchmark to help transition AI agents from demos to production-scale reliability.

marsbit02/27 13:28

Founders Fund, Pantera, and Franklin Templeton Join Sentient's 'Arena' to Stress-Test Enterprise-Grade AI Agents