# 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.

The Complete Landscape of Encrypted AI Protocols: Starting from Ethereum's Main Battlefield, How to Build a New Operating System for AI Agents?

The year 2026 is emerging as a pivotal moment for the convergence of Crypto and AI, marked by AI's evolution from a tool to an autonomous economic agent. These AI agents require identity, payment channels, and verifiable execution environments—needs that blockchain is uniquely positioned to address. Ethereum is positioning itself as the trust layer for AI. Vitalik Buterin's updated framework outlines a vision where Ethereum provides verifiable, auditable infrastructure for AI, rather than accelerating its development unchecked. This is being realized through key protocol developments: - **Identity & Reputation (ERC-8004):** A standard for creating NFT-based identities for AI agents, complete with a reputation system built on verifiable on-chain interactions. - **Payments (x402):** Now under the Linux Foundation, this protocol embeds machine-to-machine payments directly into HTTP requests, enabling agents to pay for API access seamlessly with stablecoins or traditional methods. - **Execution (ERC-8211):** Allows AI agents to execute complex, multi-step DeFi transactions atomically in a single signature, overcoming a major operational bottleneck. Beyond Ethereum, other ecosystems are finding their roles. Solana is becoming a hub for high-frequency, low-cost agent payments and interactions due to its speed and low fees. Decentralized physical infrastructure networks (DePIN) provide the necessary compute power. In summary, a complementary crypto-AI stack is forming: Ethereum sets the standards for trust and identity, Solana excels at high-frequency execution, and DePIN supplies decentralized computation. The goal is not to accelerate AI uncontrollably, but to build a verifiable, decentralized foundation for the incoming AI agent economy.

marsbit16 ч. назад

The Complete Landscape of Encrypted AI Protocols: Starting from Ethereum's Main Battlefield, How to Build a New Operating System for AI Agents?

marsbit16 ч. назад

Silicon Valley Startup Guru Steve Blank: In the AI Era, Companies Over Two Years Old Should Start Over

Silicon Valley entrepreneur Steve Blank argues that startups founded over two years ago are likely operating with outdated business plans due to rapid AI-driven changes. He emphasizes that AI is reshaping development speed, team structures, pricing models, and competitive moats. Startups must reassess their strategies, as AI tools enable faster MVP development, shift bottlenecks from engineering to judgment and distribution, and transform software from user interfaces to outcome-driven agents. Hardware startups are also affected, with AI accelerating design testing and integration. Blank warns against sunk cost mentalities and urges founders to pivot using current tools and market realities to survive. Key shifts include moving from product-market fit to AI agent-customer outcome fit and embracing parallel development over traditional agile methods.

marsbit16 ч. назад

Silicon Valley Startup Guru Steve Blank: In the AI Era, Companies Over Two Years Old Should Start Over

marsbit16 ч. назад

Only Work 2 Hours a Day? This Google Engineer Uses Claude to Automate 80% of His Work

A Google engineer with 11 years of experience automated 80% of his work using Claude Code and a simple .NET application, reducing his daily work from 8 hours to just 2–3 hours while generating $28,000 in monthly passive income. The key to this transformation lies in three core elements: First, using a structured CLAUDE.md file based on Andrej Karpathy’s principles—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—reduces Claude’s rule violations from 40% to just 3%. Second, the "Everything Claude Code" system acts as a full AI engineering team, with 27 pre-built agents for planning, reviewing, and executing tasks across multiple AI platforms. Third, a hidden token consumption issue in Claude Code v2.1.100 was identified, where 20,000 extra tokens were silently added, diluting instructions and reducing output quality. A quick fix using npx downgrades the version to avoid this. The automated system enables code generation, testing, and review to run autonomously in 15-minute cycles. The engineer now only reviews output, saving 5–6 hours daily. The setup takes less than 20 minutes, and the return on time investment is significant—potentially saving $10,000–$12,000 monthly for those valuing their time at $100/hour. The article emphasizes that managing AI systems, not just using them, is the new critical skill, enabling a shift from doing work to overseeing automated processes.

marsbitВчера 04:10

Only Work 2 Hours a Day? This Google Engineer Uses Claude to Automate 80% of His Work

marsbitВчера 04:10

Giants Collectively Raise Prices, Is the AI Price Hike Wave Coming? Can We Still Afford Lobster Employees?

Major AI companies, including Alibaba Cloud, Baidu Intelligent Cloud, Tencent Cloud, and Zhipu, have recently announced significant price increases for AI computing and storage services, with hikes ranging from 5% to over 460% in some models. This trend follows similar moves by global giants like Amazon AWS and Google Cloud earlier this year. The price surge is driven by explosive demand for computing power, fueled by the rapid adoption of AI agents like OpenClaw (referred to as "Lobster" in the article), which consume tokens at rates dozens or even hundreds of times higher than traditional AI applications. This has created a severe supply-demand imbalance. Additionally, shortages in high-end hardware—such as AI chips and high-bandwidth memory (HBM)—have constrained computing capacity and raised operational costs. The industry is shifting away from loss-leading pricing strategies toward value-based models, prioritizing sustainable development over market-share competition. A new "token economy" is emerging, where pricing is increasingly based on token usage, complexity, and speed rather than flat fees. This reflects AI computing's evolution from a generic service to a specialized, high-value resource. Some companies are even considering token allowances as part of employee benefits, highlighting its growing role as both a production tool and a cost factor. The article concludes by questioning whether AI services will remain affordable as compute costs continue to rise.

marsbit04/13 04:20

Giants Collectively Raise Prices, Is the AI Price Hike Wave Coming? Can We Still Afford Lobster Employees?

marsbit04/13 04:20

From "National Shrimp Farming" to the Intelligent Economy: The 2026 Hong Kong Web3 Carnival AI x Web3 Summit Agenda Unveiled!

The 2026 Hong Kong Web3 Carnival will host a pivotal forum titled "Web3×AI: Value Reconstruction in the Intelligent Era" on the afternoon of April 20. This event brings together global pioneers in AI and Web3 to explore the deep integration of these transformative technologies. Discussions will cover topics ranging from Silicon Valley’s innovative uses of AI lobsters to practical implementation of AI and Web3 beyond the lab. Industry leaders from TON Foundation, Qtum, Cobo, MaxQuant, and Anoma will share insights on security, financial applications, and decentralized AI ecosystems. Key roundtables will address critical questions: Does AI truly need Web3? Experts will debate issues like data privacy, decentralized computing, and value attribution. Another session will focus on AI Agents and the future of human-computer interaction, examining how agentic AI could reshape industries by moving beyond traditional interfaces. This forum aims to cut through the hype and provide actionable insights into how AI and Web3 can move from technological overlap to symbiotic value creation.

marsbit04/08 10:48

From "National Shrimp Farming" to the Intelligent Economy: The 2026 Hong Kong Web3 Carnival AI x Web3 Summit Agenda Unveiled!

marsbit04/08 10:48

Chinese and American AI Companies Rush to List, Crypto Waits in the Corner for Opportunities

Chinese AI companies are rushing to IPOs at reasonable valuations, driven by a "common prosperity" policy to distribute wealth more broadly, while US AI giants like OpenAI and Anthropic are expected to go public around late 2026 at valuations potentially 100x higher. This AI IPO wave is drawing significant investor attention and capital away from other sectors, including crypto, in the short term. As a result, crypto faces funding headwinds and price pressure. However, this downturn may create attractive early-stage investment opportunities in crypto by 2026, similar to the post-2018 cycle. Longer term, AI is expected to boost crypto adoption by improving user experience through AI frontends and enabling autonomous agent-to-agent commerce on blockchain networks.

marsbit04/03 05:00

Chinese and American AI Companies Rush to List, Crypto Waits in the Corner for Opportunities

marsbit04/03 05:00

60 Curated Skills, Workflows & Open-Source Projects: The Ultimate Claude Advanced List

This comprehensive guide curates 60 essential AI tools, frameworks, and resources to help developers, creators, and builders move from using AI to constructing robust AI systems. The list is organized into nine key categories: AI Programming Agents & IDEs (e.g., Claude Code, Cursor), Agent Frameworks (e.g., OpenClaw, LangGraph), MCP Services & Tool Integrations (e.g., Tavily, Context7), Claude Skills (e.g., PDF Processing, Frontend Design), Local AI & Model Runners (e.g., Ollama, Open WebUI), Workflow & Automation (e.g., n8n, Langflow), Search, Data & RAG (e.g., GPT Researcher, Chroma), API & Infrastructure (e.g., FastAPI, Portkey Gateway), and Learning Resources (e.g., Awesome Agents, PromptingGuide). The author emphasizes a structured approach, recommending specific starting toolkits based on the user's role—developer, creator, product builder, or learner—to avoid overload and build practical, production-ready workflows.

marsbit03/30 11:10

60 Curated Skills, Workflows & Open-Source Projects: The Ultimate Claude Advanced List

marsbit03/30 11:10

The Time of Machines: When Agents Consume Stablecoins

"The Age of Machines: When Agents Consume Stablecoins" explores the convergence of AI and cryptocurrency, focusing on the emerging narrative of AI agents as economic actors. The author argues that while AI is rapidly advancing into production and consumption, crypto, particularly stablecoins, is struggling to find its role beyond financialization. The piece begins by reflecting on how AI-powered bots are evolving from nuisances to become autonomous economic entities, potentially even developing a "dislike" for humans. This shift creates a sense of desperation in the crypto community, which is now trying to prove its value to AI by promoting stablecoins as the preferred medium of exchange for agents. A core tension is highlighted: AI is mastering both production and the new "relations of production" by replacing human labor, while crypto remains confined to a narrow financial role. Previous attempts by crypto to capture AI use cases—through decentralized storage, compute, or GPU lending—have largely failed. The author warns that compliant, bank-issued stablecoins on networks like Canton could ultimately prevail over native crypto stablecoins. The emergence of payment protocols for machines, like Stripe's MPP, is noted, but these efforts are seen as integrating machines into the existing traditional financial system rather than creating a new crypto-native one. The crypto industry's strategy of selling stablecoins to AI based on technical merits like cheapness and speed is portrayed as a weak, last-resort effort. The article then pivots to a more promising path for crypto: leveraging volatility. The true potential lies in AI agent economy's ability to generate massive, 24/7 consumption that far surpasses human limits. This creates a new battlefield for crypto—not by providing utility to AI, but by creating speculative assets (Crypto Tokens) that capture the value and FOMO generated by the AI boom (AI Tokens). The ultimate goal should be converting the immense economic activity of AI agents into liquidity for crypto assets. The conclusion states that while Circle's vision of agents using stablecoins offers a story of infinite users to the market, crypto's real strength is its position as a financial laboratory on the frontier, thriving on ambiguity and speculation. The future of the convergence depends on crypto creating volatility and wealth effects from the stable foundation of agent-driven consumption, ultimately completing the cycle from AI Token back to Crypto Token.

marsbit03/30 07:38

The Time of Machines: When Agents Consume Stablecoins

marsbit03/30 07:38

Tiger Research: What AI Services Do Crypto Companies Offer?

This Tiger Research report examines the growing trend of cryptocurrency companies integrating AI services, driven by a fear of missing out (FOMO). Unlike previous cycles, established and profitable firms like Coinbase and Binance are leading this charge, moving AI from theory to practical necessity. Key areas of AI adoption include: - **Research:** Projects like Surf are building crypto-native AI tools that aggregate fragmented on-chain and social data, providing more accurate answers than general AI models. - **Trading:** Exchanges are deploying AI to let users execute trades via natural language commands, lowering the barrier for non-developers and automating strategies. The goal is user retention in an increasingly competitive landscape. - **Security/Audit:** Firms like CertiK use AI to enhance smart contract audits by automating initial code scans and enabling post-audit, real-time monitoring, thus addressing previous security blind spots. - **Payment Infrastructure:** Protocols are emerging to enable AI agents to make autonomous payments (e.g., for APIs or services) using on-chain wallets and stablecoins. Circle’s proposed Gateway-x402 integration is a notable example, though this field is still nascent. The push is fueled by rapid AI advancements (e.g., MCP, OpenClaw) and competitive anxiety. However, the report cautions that while adoption is accelerating, the gap between offering a feature and its actual, trusted use remains significant. The motivation is strategic positioning for an AI-driven future, not just marketing.

marsbit03/30 06:41

Tiger Research: What AI Services Do Crypto Companies Offer?

marsbit03/30 06:41

ARO Network Raises $5M in Strategic Round to Build “The Agentic Edge”

ARO Network, a pioneer of "The Agentic Edge" for the autonomous AI era, has raised $5 million in a strategic funding round co-led by NoLimit Holdings and an undisclosed leading Asian data center operator. The funding supports ARO's vision to make AI agents more personalized, privacy-preserving, and accessible. The network decentralizes AI by placing agents directly in users' homes, utilizing local resources to create personal digital extensions. This approach aims to overcome limitations of centralized cloud systems. ARO has over 1.18 million active nodes and has launched Testnet Sprint 2, offering a simplified user experience. CEO Randy emphasized ARO's mission to put autonomous, secure AI directly into users' hands, ensuring private, uncensored operation with low latency. The partnership with a major Asian data center will provide enterprise-level infrastructure across APAC.

TheNewsCrypto03/30 03:15

ARO Network Raises $5M in Strategic Round to Build “The Agentic Edge”

TheNewsCrypto03/30 03:15

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