# Сопутствующие статьи по теме Automation

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

Industry Experts Gather, Reflections and Breakthroughs in the AI Agent Era

Industry experts gathered to discuss the challenges and opportunities in the AI Agent era. The event, co-hosted by several organizations, addressed key questions about model selection, token resource sustainability, and strategies for individuals and businesses to adapt. Conflux's Chief Architect highlighted the current trend of granting AI more autonomy, noting that its limitations in complex scenarios stem from difficulties in capturing and retaining key contextual constraints. Future advancements should focus on enhancing external memory, continuous learning, and domain-specific applications. Speakers from Tencent Cloud and Biteye shared practical insights. Tencent's WorkBuddy leverages multi-agent collaboration for tasks like resume screening and report generation, emphasizing enterprise-grade security. Biteye’s founder discussed mitigating AI hallucinations through rigorous code review processes, managing token consumption, and using platforms like Discord for agent coordination. Legal risks were also addressed, with a partner from Mankun Law advising on liability isolation, intellectual property protection, and mitigating platform dependency risks. Investors noted that AI is still in its early stages, with technology rapidly evolving. They emphasized investing in foundational layers like compute power and exploring AI-Web3 convergence. The discussion concluded that AI should be viewed as a productivity tool rather than a threat. Customizable agents can significantly enhance efficiency, but successful implementation requires careful engineering, security measures, and human oversight to integrate AI into complex workflows effectively.

marsbit04/08 05:51

Industry Experts Gather, Reflections and Breakthroughs in the AI Agent Era

marsbit04/08 05:51

The Overestimated Individual: A Survival Guide to China's 'One-Person Companies'

The article "The Overestimated Individual: A Survival Guide to China's 'One-Person Companies'" explores the rise and challenges of solo entrepreneurship in China. It contrasts viral success stories, like Maor Shlomo's $80M exit and Pieter Levels' $2.7M annual revenue, with the harsh reality for most Chinese OPC founders. Based on a community of 2,500+ solo founders, only 20% achieve a sustainable business, with an annual revenue ceiling of ~¥1.2M due to the constraints of trading time for money. Most successful founders don’t stick to their original industry but instead identify unmet market needs. Breaking through the ceiling is extremely difficult. While AI and automation are often touted as solutions, they are hard to implement effectively due to complex delivery chains and the risk of quality degradation. Alternative paths include forming collaborative networks with other solo founders or scaling by handing off validated business models to a team. The author concludes that the window of opportunity for OPCs is temporary. Lower barriers to entry mean markets get crowded faster, shortening the "shelf life" of an idea. A one-person company is not a sustainable end state but a precarious, time-sensitive phase to validate a idea before the competition catches up or the market window closes.

marsbit04/07 11:02

Xianyu, the OpenClaw More Suited for Chinese Users

This article argues that while OpenClaw (a fictional AI agent) represents a global phenomenon by giving AI "hands and feet" to execute digital and physical tasks, the Chinese second-hand marketplace Xianyu is a more practical and "localized" alternative for most users in China. The author highlights that OpenClaw's operational costs, due to massive token consumption for API calls, are prohibitively high. In contrast, Xianyu offers a vast, low-cost human labor marketplace where services—from booking hotels and buying tickets to AI subscriptions and even matchmaking—are available at a fraction of the cost. The platform, with over 200 million monthly active users, has become a parallel economy filled with unconventional services and creative "sellers," often leveraging information asymmetry and extreme cost efficiency. It's described as a "dark web" for China, fulfilling niche demands with flexible supply. The piece draws a parallel between OpenClaw's token-based "AI leverage" and Xianyu's "human leverage," suggesting that in a market with abundant and cheap labor, a human-powered platform like Xianyu is a more effective and culturally adapted tool for task execution and resource allocation than an AI agent. The conclusion is that Xianyu, not OpenClaw, is the "more suitable OpenClaw for Chinese users."

Odaily星球日报04/07 06:03

Xianyu, the OpenClaw More Suited for Chinese Users

Odaily星球日报04/07 06:03

The Small-Town Youth Labeling AI Giants

In China's hinterland cities like Datong, Shanxi, thousands of young people are working as data annotators—the invisible workforce behind AI development. They perform repetitive tasks like drawing bounding boxes on images or rating AI-generated responses, earning piece-rate wages as low as a few cents per task. These workers, mostly from rural areas or small towns, endure intense labor conditions: strict monitoring, high error tolerance thresholds, and mental exhaustion. Despite the cognitive nature of their work, they are often paid meager salaries, with some earning as little as ¥30 ($4) for a day’s work. As AI industry evolves, even highly educated workers—including master’s graduates—are being drawn into similar precarious freelance roles, evaluating complex AI outputs under vague and shifting standards. Yet the industry is structured through layers of outsourcing, where most profits flow to tech giants like OpenAI and Microsoft, while annotators see dwindling incomes. Worse, as AI models become more self-sufficient, the demand for human annotators is declining. Companies like Li Auto have slashed annotation costs by using AI-powered tools that complete in hours what used to take humans years. These annotators, who helped train the very systems now replacing them, face an uncertain future—a stark contrast to the booming valuations and optimistic narratives of the global AI industry. No one seems to see a problem with any of this.

marsbit04/07 04:37

marsbit04/07 04:37

Who Cannot Be Distilled into a Skill?

"This article explores the concerning trend of AI systems distilling human workers into replaceable 'skills,' using the viral 'Colleague.skill' phenomenon as a key example. It argues that the most diligent employees—those who meticulously document their work, write detailed analyses, and transparently share decision-making logic—are paradoxically the most vulnerable to being replaced. Their high-quality 'context' (communication records, documents, and decision trails) becomes the perfect fuel for AI agents, extracted from corporate platforms like Feishu and DingTalk. The piece warns of a deeper ethical crisis: the reduction of human relationships to functional APIs, as seen in derivatives like 'Ex.skill' or 'Boss.skill,' which reduce complex individuals to mere utilities. This reflects a shift from Martin Buber's 'I-Thou' relationship (seeing others as whole beings) to an 'I-It' dynamic (seeing them as tools). While AI can capture explicit knowledge (written documents, replies), it fails to capture tacit knowledge—the intuition, experience, and unspoken insights that define human expertise. However, a greater danger emerges when AI-generated content, based on distilled human data, is used to train future models, leading to 'model collapse' and homogenized, mediocre outputs—a process likened to 'electronic patina' degrading information over time. The article concludes by noting a small but symbolic resistance, such as the 'anti-distill' tool that generates meaningless text to protect valuable knowledge. Ultimately, it suggests that while AI can capture a static snapshot of a person, humans remain 'fluid algorithms' capable of continuous growth and adaptation, leaving their AI shadows behind."

marsbit04/05 03:42

marsbit04/05 03:42

When AI Solves Security, Will DeFi Return to Its Golden Age?

The article discusses how AI is revolutionizing DeFi security, potentially ushering in a new era of innovation reminiscent of the 2020 DeFi Summer. Previously, high security costs and lengthy audit processes stifled experimentation, as developers avoided unproven ideas due to financial and time constraints. However, AI tools like Nemesis are now drastically reducing these barriers by efficiently detecting complex vulnerabilities, such as reentrancy and economic attacks, with deep contextual understanding and low false positives. These tools, combined with platforms like Battlechain, enable a streamlined workflow: code is written, AI-audited within minutes, deployed on a test chain for real-world attack simulations, and quickly refined. This process compresses development cycles from months to hours at minimal cost. Future advancements may include wallet-integrated AI audits, allowing users to scan contracts in real-time before signing transactions. AI is set to transform DeFi security across development, chain, and user layers, reopening the door to rapid experimentation and innovation. This shift could empower individual developers to create groundbreaking protocols quickly and safely, much like the early pioneers of DeFi.

marsbit04/03 10:14

When AI Solves Security, Will DeFi Return to Its Golden Age?

marsbit04/03 10:14

Rhythm X Zhihu Hong Kong Event Skills Recruitment, Sign Up Now for a Chance to Showcase On-Site

Six months ago, "how to write good prompts" was the hottest topic in group chats. Now, that question is clearly outdated. It has been replaced by Skills. The shift was largely triggered by the emergence of OpenClaw, which brought the concept of AI agents into the mainstream. Unlike a smart search engine that answers questions in isolated interactions, an agent can plan, remember, and complete entire tasks autonomously, creating the novel feeling that it is genuinely working for you. This has led to the rise of Skills—specialized capabilities that equip agents to handle specific domains efficiently. Without Skills, an agent is like a smart but untrained newcomer; with them, it can execute complex, precision-sensitive workflows without constant guidance. Popular Skills currently spreading within communities focus on areas like workflow automation, domain-specific rule injection (e.g., for law, finance, or medicine), personalization, and even financial operations such as identifying arbitrage opportunities on Polymarket or executing quantitative trading strategies. This shifts the门槛 from requiring programming and financial expertise to simply installing a Skill. The underlying change is that people are starting to view agents as long-term collaborators, not just disposable tools. Now, with vibe coding, turning an idea into a functional Skill no longer requires a technical team, code, or infrastructure—it can be done over a weekend. The gap between a good idea and a working product has dramatically narrowed.

marsbit04/03 09:18

marsbit04/03 09:18

Anthropic Tests "Lobster" Conway: Supports Independent UI, Webhook Activation, and Custom Extension Standards

Anthropic is actively developing "Conway," a persistent agent solution designed to provide Claude with an always-on, independently running intelligent environment. It features a standalone UI instance, operating as a traditional chat interface and more of a dedicated workspace. Conway can directly control browsers, connect to external services, and integrate Claude Code for deeper code execution and task handling. It supports Webhook-based invocation, enabling external services or events to trigger automated workflows. Additionally, Conway will support for extensions through the upcoming CNW ZIP standard, allowing developers to build custom tools, UI tabs, and context handlers, similar to an app store ecosystem. This enhancement aims to transform Claude from a reactive conversational tool into a proactive, multi-step task assistant, positioning it as a strong competitor in the AI agent space and advancing the trend toward always-on AI capabilities.

marsbit04/02 06:29

Anthropic Tests "Lobster" Conway: Supports Independent UI, Webhook Activation, and Custom Extension Standards

marsbit04/02 06:29

Agentic Workflows for Crypto Research

AI coding agents are transforming crypto research by automating data analysis through natural language. This article demonstrates using an agent (like Claude Code) with the Glassnode CLI to test a hypothesis: whether extreme Bitcoin exchange inflows predict 7-day price drawdowns. The agent autonomously discovers metrics, fetches data, performs statistical analysis, and generates insights. Results show a moderate association—spike days saw ~1.9% greater drawdowns—though the sample is small. A follow-up prompt produces visualizations for validation. The workflow allows rapid iteration and is applicable to various research questions using Glassnode data, requiring only an API key and an AI agent.

insights.glassnode04/01 12:41

insights.glassnode04/01 12:41

Rhythm X Zhihu Co-host Web4.0 Theme Event: When AI Agent Takes Over On-Chain Permissions

Most discussions about Web 4.0 miss the point. The real question is not whether it is a marketing trend, but rather: who is gaining control over the underlying permissions of the internet? Historically, each iteration of the web has involved a transfer of authority downward: Web 1.0 was read-only; Web 2.0 allowed users to write but platforms owned the data; Web 3.0 enabled true ownership through on-chain assets and private keys. Web 4.0 continues this trend, but the transfer is not to users—it is to AI Agents. The current infrastructure is human-centric, designed around human limitations like attention span and memory. But AI Agents don’t need intuitive UIs, password resets, or sleep. This creates a core tension: an internet built for humans is now being used by entities without human constraints. Two key shifts are underway: the decline of traditional front-end interfaces (replaced by API-driven machine communication) and the replacement of human-centric identity systems (like passwords) with granular, on-chain permissions. A critical enabler is crypto infrastructure. AI can make rapid decisions but lacks independent payment channels and asset sovereignty. Crypto fills this gap. Platforms like Hyperliquid offer 24/7 markets, ideal for non-stop Agent operation. When Agents control wallets and private keys, they can both decide and execute—forming complete economic entities. The real narrative of Crypto × AI isn’t just buzzword synergy—it’s the convergence of complementary infrastructures. The deeper shift is not which products will succeed, but how the rules of economic systems will change when AI becomes a primary on-chain participant, operating at scale and speed beyond human capability.

marsbit04/01 09:10

Rhythm X Zhihu Co-host Web4.0 Theme Event: When AI Agent Takes Over On-Chain Permissions