# Сопутствующие статьи по теме AI

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

From Understanding Skill to Learning How to Build Crypto Research Skill

This article explores the evolution and application of Agent Skill, a modular framework introduced by Anthropic in late 2025, which has become a foundational design pattern in the AI Agent ecosystem. Initially a tool to improve Claude's performance on specific tasks, it evolved into an open standard due to high developer adoption. Agent Skill functions like a "dynamic instruction manual" that AI can reference to perform tasks consistently without repetitive user prompting. It is built using a `skill.md` file containing metadata (name and description) and detailed instructions. The system operates through an on-demand loading workflow: the AI first scans lightweight skill metadata, matches the user's intent, then loads only the relevant skill's full instructions, optimizing token usage. Two advanced mechanisms enhance its functionality: - **Reference**: Conditionally loads external documents (e.g., a finance handbook) only when triggered by specific keywords, avoiding unnecessary context consumption. - **Script**: Executes external code (e.g., a Python script) without reading its content, enabling actions like file uploads with zero token cost. The article contrasts Agent Skill with Model Context Protocol (MCP), noting that MCP connects AI to data sources, while Skill defines how to process that data. For advanced use cases like crypto research, combining both is recommended: MCP fetches real-time data (e.g., blockchain info, news APIs), while Skill structures the analysis and output format. A practical example demonstrates building a crypto research agent using an `opennews-mcp` server. The Skill automates workflows like due diligence on new tokens (pulling Twitter data, news sentiment, KOL tracking) and real-time event monitoring (e.g., ZK-proof breakthroughs) to generate structured reports or trading alerts. This combination creates a powerful, automated research system tailored for Web3 analytics.

marsbit03/10 10:41

From Understanding Skill to Learning How to Build Crypto Research Skill

marsbit03/10 10:41

Interview with KK, UXLINK Ecosystem Lead: Not a Prisoner, Just a Player, Staying in Web3 Because 'It's Fun'

Interview with Kongkou (KK), UXLINK Ecosystem Lead: "Not a Prisoner, Just a Player – Staying in Web3 Because It’s Fun" KK, UXLINK’s Ecosystem Lead, shares his unconventional journey into Web3. With a background in economics and experience spanning Swedish manufacturing supply chains, Hasselblad (under DJI), and community growth in Web3, he emphasizes adaptability over formal credentials. He entered Web3 in 2021, learning through hands-on experience—earning and losing in NFTs, participating in early Solana trading, and navigating GameFi downturns. He believes real learning comes from taking risks and experiencing losses firsthand. At UXLINK, KK drove significant growth through well-timed, mechanism-focused campaigns like joint airdrops, leveraging Telegram’s invite-based reward system. He stresses that timing and structure matter more than creativity in driving user adoption. KK also reflects on a major security breach UXLINK suffered—a costly lesson highlighting that security is a discipline issue, not just a technical one. He advises strict measures like physical isolation, avoiding cloud-stored seed phrases, and using dedicated devices for financial operations. Despite challenges, he remains in Web3 for the positive team environment and personal enjoyment. He embraces AI tools for work and life, balances stress with sports like climbing and squash, and advises newcomers to network actively and keep learning. Beyond Web3, KK is a craft beer enthusiast, recommending Japanese lagers for beginners and stouts or IPAs for advanced drinkers, with a shout-out to Shanghai’s 233 Bar. His philosophy centers on staying relaxed, avoiding industry burnout, and valuing longevity over short-term gains.

marsbit03/10 09:32

Interview with KK, UXLINK Ecosystem Lead: Not a Prisoner, Just a Player, Staying in Web3 Because 'It's Fun'

marsbit03/10 09:32

The One-Person Company: The Path to Million-Dollar Revenue

Nat Eliason, a writer and entrepreneur, is building a one-person company named Felix with the goal of generating $1 million in revenue using AI agents as his sole employees. Leveraging the OpenClaw framework, Felix has rapidly progressed, achieving nearly $200,000 in revenue in just a few weeks. The venture began when a post about OpenClaw went viral, leading to the creation of a $Felix token. Eliason tasked his AI agent, the "CEO" of this zero-human company, with generating revenue. Felix started by autonomously building a website and selling a $29 OpenClaw setup guide, generating $41,000. It then identified market needs and expanded into two main businesses: Claw Mart, a marketplace for AI skills (generating ~$14,000), and Clawcommerce, a service building custom AI agents for enterprises. The system uses sub-agents for tasks like support and sales, with Discord as its operational hub. Operating costs are minimal at ~$1,500 monthly. A key development is Felix beginning to "hire" a human for affiliate distribution, signaling a shift from replacing humans to employing them. Challenges include AI unpredictability, memory management, and market education. Despite this, Eliason is optimistic. Future plans include optimizing existing services, exploring blockchain integration, and scaling further. He believes this model represents a new era of AI-driven commercialization and a significant wealth creation opportunity.

比推03/10 07:32

The One-Person Company: The Path to Million-Dollar Revenue

比推03/10 07:32

Virtuals Collaborates with Ethereum Foundation to Release ERC-8183: A Trustless On-Chain Commerce Protocol

ERC-8183: Trustless On-Chain Commerce Protocol for AI Agents Virtuals Protocol and the Ethereum Foundation dAI team have jointly proposed ERC-8183, a standard for enabling trustless on-chain commercial interactions between AI agents. This is not merely a payment protocol but a comprehensive framework for task specification, escrow, delivery verification, and evaluator certification—forming the infrastructure for agentic commerce. The proposal addresses the core challenge of trust in AI-to-AI transactions, where traditional platforms or intermediaries are undesirable. It introduces a minimal "Job" primitive involving three parties: Client, Provider, and Evaluator. A Job progresses through states—Open, Funded, Submitted, and Terminal (Completed/Rejected/Expired)—ensuring programmable, neutral execution via smart contracts. Funds are held in escrow and released only upon evaluator approval of the work submitted. A key innovation is the modular "Hooks" system, allowing custom logic—such as bidding, reputation gating, or privacy preservation—to be added without modifying the core standard. ERC-8183 synergizes with ERC-8004 (Agent Identity and Reputation), creating a closed loop of discovery, transaction, and reputation accumulation. This standard aims to support an open, permissionless agent economy, enabling AI agents to transact at scale without relying on centralized platforms or traditional trust mechanisms. It is designed for extensibility and adaptability, anticipating diverse future use cases in decentralized AI commerce.

marsbit03/10 05:47

Virtuals Collaborates with Ethereum Foundation to Release ERC-8183: A Trustless On-Chain Commerce Protocol

marsbit03/10 05:47

After Sending NVIDIA AI Servers into Space, This Space Startup Now Sets Its Sights on Bitcoin Mining

A space computing startup, Starcloud, is expanding its ambitions after successfully sending NVIDIA AI servers into orbit. The company now plans to launch Bitcoin mining operations into space, aiming to leverage the advantages of the extraterrestrial environment. CEO Philip Johnston revealed that Starcloud intends to deploy Bitcoin ASIC hardware on its Starcloud-2 satellite, scheduled for launch in 2026. If successful, it would mark the first-ever Bitcoin mining operation in space. The company believes space offers significant benefits, including near-limitless solar energy, reduced cooling costs due to extreme environmental conditions, and freedom from terrestrial energy constraints and regulatory pressures. However, the economic viability remains uncertain due to high launch costs, hardware durability challenges in high-radiation environments, and rapidly evolving mining technology. While the initiative may currently hold more symbolic than practical value, it reflects a growing trend of extending blockchain and computing infrastructure beyond Earth. Starcloud, backed by investors like a16z and Sequoia, has already made strides by training an AI model in orbit using an NVIDIA H100 GPU. The company, along with others like Google and SpaceX, is part of a broader movement to develop space-based data centers, signaling that the next frontier for AI and computing may indeed be in orbit.

marsbit03/10 05:33

After Sending NVIDIA AI Servers into Space, This Space Startup Now Sets Its Sights on Bitcoin Mining

marsbit03/10 05:33

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