# 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.

Silicon Valley's New Darling Clawdbot: When Local AI Agents Learn to 'Go On-Chain', What Happens?

A new open-source project called Clawdbot (now renamed Moltbot) has gained attention in Silicon Valley. It enables an AI agent to run locally on a user’s computer or server, allowing it to browse the web, click buttons, send messages, and even execute transactions automatically. Unlike cloud-based models like ChatGPT, Clawdbot is self-hosted, open-source, and operates across multiple platforms such as Telegram, WhatsApp, Discord, and Slack. It features persistent memory and can perform tasks via browser automation, command-line operations, and scripts—making it a persistent digital assistant. In the context of Web3, Clawdbot could significantly lower barriers to participation by automating complex and repetitive on-chain operations. Potential use cases include 24/7 monitoring of liquidation thresholds, automated yield reinvestment, cross-chain transactions, and strategy execution via natural language commands. However, the integration of such agents with Web3 also introduces serious risks. Recent incidents include fake token launches under Clawdbot’s name and security vulnerabilities from misconfigured servers. To mitigate risks, users are advised to grant minimal wallet permissions—preferably read-only—use dedicated small-cap wallets with strict limits, and avoid unofficial token promotions. Self-hosting does not guarantee security; improper configuration may expose sensitive data and execution privileges. The agent should serve as an assistant, not a custodian. Any permission beyond the user’s comfort zone requires careful consideration. *This content is for informational purposes only and does not constitute investment advice. The market carries risks; invest with caution.*

marsbit01/31 02:37

Silicon Valley's New Darling Clawdbot: When Local AI Agents Learn to 'Go On-Chain', What Happens?

marsbit01/31 02:37

Dialogue with OpenMind Founder: After Securing $20 Million Investment from Pantera, Sequoia, and Others, How Far Has the Robot 'Android' System Come?

Jan Liphardt, founder of OpenMind and a Stanford and UC Berkeley professor, discusses his vision to build a decentralized "Android-like" operating system for robots. After raising $20 million from investors like Pantera Capital and Sequoia China, OpenMind aims to solve fragmentation in the robotics industry, where over 150 hardware vendors operate in isolation with software focused only on mechanical control. OpenMind’s core includes the open-source robot operating system OM1 and the decentralized FABRIC protocol. OM1 enables individual robot intelligence, while FABRIC facilitates secure machine-to-machine and human-machine collaboration, identity verification, and micro-transactions. The system has attracted thousands of developers on GitHub and is being integrated with leading Chinese robotics firms like Unitree, Astribot, and Ubtech. A key milestone is the development of a robot application store, with the first app already launched. OpenMind’s enhanced robot dog can recognize owners, map environments, remember objects, answer questions, and monitor home safety. Liphardt emphasizes the role of blockchain in enabling global governance, immutable record-keeping, and machine-economy transactions. He sees near-term adoption in homes, schools, and workplaces by 2026, with challenges including hardware reliability, adaptive real-world performance, and safe AI behavior. OpenMind’s long-term goal is to develop "social models" for robots that are transparent, open-source, and privacy-centric, ensuring they remain beneficial and secure alongside humanity.

marsbit01/26 02:11

Dialogue with OpenMind Founder: After Securing $20 Million Investment from Pantera, Sequoia, and Others, How Far Has the Robot 'Android' System Come?

marsbit01/26 02:11

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