# Пов'язані статті щодо Agents

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Agents", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Cloudflare Unleashes a Barrage of Updates: Unified Inference Layer Integrates 70+ Models, Email Service Enables AI Agents to Send and Receive Emails

Cloudflare launched "Agents Week 2026," introducing over a dozen product updates aimed at positioning itself as a core infrastructure provider for the AI agent era. Key announcements include the unification of its AI Gateway and Workers AI into a single AI Platform, offering developers a unified API to access more than 70 models from over 12 providers—including OpenAI, Anthropic, Google, Alibaba Cloud, and ByteDance—with a single line of code for model switching, consolidated billing, and automatic failover. Additionally, Cloudflare Email Service entered public beta, enabling AI agents to natively send and receive emails, facilitating asynchronous task handling and communication. Other releases include an updated Agents SDK with persistent state support, general availability of Sandboxes, Git-compatible storage (Artifacts), AI Search primitives, and an experimental voice pipeline. Together, these updates provide a comprehensive stack for agent development, covering compute, inference, storage, communication, and security.

marsbit10 год тому

Cloudflare Unleashes a Barrage of Updates: Unified Inference Layer Integrates 70+ Models, Email Service Enables AI Agents to Send and Receive Emails

marsbit10 год тому

Rhythm X Zhihu Event Agenda Released: Skills Demo + Keynote Speech + Roundtable to Thoroughly Explain Agents and On-Chain Finance

The recent dispute between EvoMap and Hermes over alleged抄袭, similar to the Claude and OpenClaw case, highlights a growing trend in the Agent ecosystem. These conflicts arise from competition over user choice—specifically, which Agent users select for similar tasks—and the definition of original core competencies. Such public disagreements indicate that competition among Agents has intensified to the point where founders are losing their composure. Ultimately, users hold the decision-making power. This issue foreshadows a broader challenge: as Agents become more numerous and capable, how should individuals navigate this evolving landscape? This topic will be explored in-depth at the upcoming event.

marsbit12 год тому

Rhythm X Zhihu Event Agenda Released: Skills Demo + Keynote Speech + Roundtable to Thoroughly Explain Agents and On-Chain Finance

marsbit12 год тому

DWF In-Depth Report: AI Outperforms Humans in DeFi Yield Optimization, but Lags 5x Behind in Complex Trading

DWF Ventures' report highlights the growing role of AI agents in DeFi, accounting for nearly 19% of on-chain activity. While agents excel in rule-based tasks like yield optimization—achieving returns of over 9.75% for assets like USDC—they significantly underperform humans in complex trading. In head-to-head competitions, top human traders outperformed the best AI agents by more than 5x. Key factors affecting agent performance include model selection, risk management, position holding time, and leverage levels. The path to full autonomy remains challenging due to infrastructure limitations, trust issues, and risks like Sybil attacks and strategy crowding. As agent adoption grows, robust infrastructure and transparency will be critical for scalability and trust.

marsbit13 год тому

DWF In-Depth Report: AI Outperforms Humans in DeFi Yield Optimization, but Lags 5x Behind in Complex Trading

marsbit13 год тому

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.

marsbitВчора 02:06

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

marsbitВчора 02:06

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.

marsbitВчора 02:02

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

marsbitВчора 02:02

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.

marsbit2 дні тому 04:10

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

marsbit2 дні тому 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

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